74 AI Solutions jobs in Egypt

AI Solutions Engineer (Internal Automations & AI Agents)

What you'll do (outcomes)

• Ship working systems: Design, build, and maintain small-to-medium services, scripts, and workflows that solve concrete team needs with clear SLAs.
• Automate everything: Orchestrate cross‑app workflows (n8n/Make/Zapier/Custom) across CRM, sheets, Meta/Instagram APIs, email, SMS/WhatsApp, Slack, and web backends.
• Agentic apps: Build LangChain/LangGraph-based agents and tools for data enrichment, routing, triage, and outreach, implementing evaluation, guardrails, retries, and cost controls.
• Scrape—responsibly: Use headless browsers and official APIs to extract data, respecting ToS/robots/legal; implement rotating proxies, backoff, and anti‑bot patterns when appropriate.
• Connect data: Stand up light ETL/ELT to Postgres/BigQuery; build RAG/search over internal docs and metadata; keep data fresh and observable.
• Reliability & telemetry: Add logging, metrics, alerts, and dashboards; own on‑call for the automations you ship (during business hours).
• Documentation & handoff: Write runbooks, diagrams, and clear READMEs so others can extend what you build.

Sample projects you might own

• Instagram lead intake compliant DM triage: Pull creator profiles, enrich, score, then route to a Messenger/IG inbox with auto‑replies and human‑handoff. Track deliverability and outcomes.
• AI outreach bot: Given a segment, generate personalized first‑touch + follow‑ups, dedupe against CRM, schedule messages, and log replies; A/B evaluate prompts and templates.
• Scrape Clean Sync: Headless browser job (Playwright) to capture public business data, normalize, and sync to Postgres/Sheets with change detection and alerts.
• RAG for Sales/Success: Vectorize pitch docs, briefs, and prior wins; build a chat tool that drafts proposals and answers objections with citations.

Our stack & tools (you don't need all, but you've used many)

• Languages & runtimes: Python, , SQL.
• LLM & agents: LangChain, LangGraph, OpenAI/Anthropic APIs, function/tool use, RAG (FAISS/Pinecone/Weaviate), LlamaIndex (nice‑to‑have).
• Automation/orchestration: n8n (self‑hosted), Make (formerly Integromat), Zapier, serverless cron/queues (BullMQ/Celery), Prefect/Airflow (for heavier jobs).
• Web & scraping: Playwright/Puppeteer, Requests/BS4, Apify; rotating proxies; captcha solving vendors (only when compliant).
• APIs & channels: Meta Graph + Messenger API for Instagram, WhatsApp Business API, SendGrid/Resend, Slack, Telegram, Twilio.
• Data & storage: Postgres/BigQuery, Redis, S3/Cloud Storage, Elastic/OpenSearch; vector DBs (Pinecone/Weaviate/pgvector).
• Infra & DevEx: Docker, GitHub Actions, Run, Terraform (nice‑to‑have), Sentry/Prometheus/Grafana, Feature flags.

What success looks like (90 days)

• You've shipped 3–5 production workflows/tools that teams use weekly.
• Lead time from idea pilot 7 days for small asks; 21 days for medium projects.
• Telemetry in place: logs, metrics, alerts, and dashboards for every workflow.
• Documented SOPs enable others to run/extend your work.

Must‑have qualifications

• 4–7+ years building production automations, internal tools, or platform glue (startups or product teams).
• Strong Python and TypeScript/Node; you can ship a CLI today and a small service tomorrow.
• Real experience with LLM apps (tool use/function calling, evals, prompt versioning, cost/perf tuning).
• Confident with APIs/webhooks, auth (OAuth), rate‑limits, pagination, retries, and idempotency.
• Hands‑on with headless browsers and public‑data scraping patterns; pragmatic about ToS/legal.
• Comfortable with databases & SQL, queues, and basic cloud deploys; you instrument what you ship.
• Excellent product sense and communication; you clarify the job to be done and bias to action.

Nice to have

• WhatsApp Business API, Meta Graph (IG), Slack/Telegram bots.
• Vector search/RAG in production; knowledge graphs (Neo4j).
• Data plumbing: Airbyte/dbt/Great Expectations.

How we work

• Small, senior team; async‑first with crisp specs, quick demos, and written docs.
• We value ownership, clarity, and speed. If it's blocked, you propose a path and ship.
• We optimize for business impact over model elegance.

Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we're so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big

Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic's solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

Our Customer Care Squad transforms customer support from reactive to predictive—leveraging state-of-the-art AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to provide accurate, real-time, personalized assistance at a massive scale.

The AI Enablement Squad integrates cutting-edge AI services seamlessly into our Java-based enterprise platform, transforming AI research and models into robust, scalable, production-grade solutions, reaching millions of users globally.

As an AI Engineering Lead, you will play a pivotal role in driving the architecture, delivery, and operational excellence of enterprise-grade systems. This position is ideal for a seasoned Java engineering leader who has 'been there and done that'—bringing deep experience in building scalable platforms, integrating advanced AI models, and leading high-performance full-stack teams

Help Us Shape The Future Of Communication By

• Leading by example, actively coding and architecting alongside your team, ensuring best-in-class software design and delivery from backend (Java/Spring Boot) to frontend (Angular).
• Architecting and maintaining scalable Java microservices, APIs (REST, gRPC), relational (PostgreSQL) and NoSQL (MongoDB) databases, and Angular-based frontends with meticulous attention to reliability, security, and performance.
• Integrating external AI components (LLMs, embeddings, vector databases such as Pinecone, Milvus, Weaviate), as well as personalization / recommendation systems ensuring robust communication between Java services and AI microservices, maintaining low latency and high availability.
• Championing mature CI/CD pipelines (Drone CI, ArgoCD), GitOps deployments, Kubernetes orchestration, and infrastructure as code, optimizing DORA metrics: deployment frequency, lead time, MTTR, and change failure rate.
• Setting rigorous standards for testing (unit, integration, performance), ensure continuous quality via SonarQube, JaCoCo, Checkstyle, and build robust monitoring, logging, and alerting strategies (Elastic Stack, Prometheus, Grafana, OpsGenie).
• Overseeing deployments on AWS or OCI using Kubernetes (EKS), Docker (Alpine-based), Helm/Kustomize, ensuring high availability, scalability, and security best practices.
• Working closely with AI squads, DevOps, Product Management, QA, and Data teams to translate complex business and AI requirements into actionable engineering tasks.
• Mentoring, coaching, and inspiring your engineering team through detailed code reviews, pair programming, and regular feedback, fostering a collaborative culture of excellence and continuous improvement.

Job requirements

What You'll Bring

• 7+ years of hands-on Java engineering, including at least 3 years as a tech lead or senior engineer responsible for end-to-end system ownership in production environments.
• Deep mastery of modern Java (11+), Spring Boot, Hibernate/JPA, RESTful and gRPC APIs, and high-performance microservice architecture.
• Proven track record improving all four DORA metrics (Deployment Frequency, Lead Time, Change Failure Rate, MTTR).
• Expert-level experience with Kubernetes, Docker, and GitOps deployment (ArgoCD), along with CI/CD tools (Drone CI or similar).
• Extensive experience with messaging/event-driven systems (Kafka, RabbitMQ), caching strategies (Redis), and data modeling (PostgreSQL, MongoDB).
• Demonstrated experience integrating AI/ML models (LLMs, embeddings, vector databases, personalization/recommendation) into production Java environments.
• Exceptional communication skills with a pragmatic, results-oriented approach to software engineering and leadership.
• Arabic and English language proficiency is a must.
• Hands-on experience with Java-based AI frameworks like Spring AI or LangChain4j is preferred.
• Familiarity with advanced RAG systems (HyDE, reranking, context management) is preferred.
• Practical knowledge of Saudi PDPL, GDPR, or similar data privacy regulations is preferred.
• Contributions to open-source Java, AI, or DevOps communities are preferred.

As a Unifone you'll receive a range of benefits:

• Competitive salary and bonus
• Unifonic share scheme (we are all owners)
• 30 holiday days after the first anniversary
• Your Birthday is off
• Spend up to 25 days per year working from anywhere in the world
• Paid leave for new parents
• LinkedIn learning license

As an AI Engineering Lead, you will draw on deep, hands-on experience in delivering large-scale, production-grade conversational AI and Retrieval-Augmented Generation (RAG) solutions. This role is for an AI expert who has genuinely "been there and done that" someone ready to architect, build, and operate a real-time AI customer support platform with a relentless focus on accuracy, reliability, and ultra-low latency. You'll lead a lean, high-impact team, driving innovation while ensuring production excellence at every layer of the stack.

As an AI Engineering Lead, you will draw on deep, hands-on experience in delivering large-scale, production-grade conversational AI and Retrieval-Augmented Generation (RAG) solutions. This role is for an AI expert who has genuinely "been there and done that"—someone ready to architect, build, and operate a real-time AI customer support platform with a relentless focus on accuracy, reliability, and ultra-low latency. You'll lead a lean, high-impact team, driving innovation while ensuring production excellence at every layer of the stack.

Help us shape the future of communication by:

• Owning the architectural vision and technical roadmap for AI-driven customer support systems.
• Designing, developing, and scaling real-time Retrieval-Augmented Generation (RAG) pipelines integrating state-of-the-art open-source LLMs (Llama 3, Mistral, Falcon, or similar).
• Implementing scalable, high-performance vector search (Pinecone, Weaviate, Milvus) for robust knowledge retrieval and semantic search.
• Having awareness of techniques such as quantization, pruning, distillation, batching, and caching for optimizing LLM inference and achieving sub-second response times.
• Developing and exposing secure, performant APIs via FastAPI/gRPC or others, containerized (Docker), orchestrated (Kubernetes), and fully integrated into automated CI/CD pipelines.
• Embedding comprehensive monitoring and evaluation (e.g. MRR, , NDCG, Faithfulness, latency metrics) and implementing automated regression testing for continuous improvement.
• Championing and enforcing best practices for data security, compliance (GDPR, Saudi PDPL), and responsible AI, including PII redaction and end-to-end encryption.
• Demonstrating mastery of foundational software engineering by writing clean, maintainable, and testable code; designing robust, modular, and scalable systems; leveraging version control; and implementing comprehensive continuous
• integration, automated testing, and deployment practices.
• Leading rigorous design and code reviews, mentoring engineers, and fostering an innovative engineering culture grounded in clean architecture, SOLID principles, and proactive best practices to ensure system reliability, security, and agility.

What you'll bring:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
• 7+ years delivering production AI/NLP systems, including 3+ years as a technical lead or senior staff engineer.
• Proven experience owning real-time conversational AI/RAG platforms at massive scale, serving thousands of concurrent users.
• Expert proficiency in Java or Python with strong software engineering fundamentals and system-design capabilities.
• Deep knowledge and hands-on experience with frameworks and technologies: Hugging Face, LangChain, LlamaIndex, SpringAI, vector databases (Pinecone, Weaviate, Milvus), and embedding models.
• Strong expertise in low-latency inference optimisation and GPU resource management.
• Solid experience building large-scale data ingestion and processing pipelines (Spark, Flink, Kafka, RabbitMQ).
• Robust MLOps and deployment expertise (Docker, Kubernetes, MLflow, Kubeflow, Git-based prompt versioning, automated CI/CD).
• Clear communicator capable of translating complex technical concepts into strategic business value.
• Expertise in red-teaming practices and machine learning security research, including developing and reinforcing robust defenses against adversarial threats.
• Arabic & English language proficiency.
• Proven hands-on expertise in traditional advanced machine learning and deep learning, including applying techniques like CNNs, Transformers, AutoML frameworks, and hyperparameter optimization to tackle complex problems at production scale is preferred.
• Practical experience developing multilingual, multi-channel, or voice-driven conversational agents is preferred.
• Open-source contributions to LLM, NLP, or vector search ecosystems is preferred.
• Familiarity with reinforcement learning or bandit algorithms for advanced conversational strategies is preferred

Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we're so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big

Meet the team
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic's solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

Our Customer Care Squad transforms customer support from reactive to predictive leveraging state-of-the-art AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to provide accurate, real-time, personalized assistance at a massive scale.

As an AI Engineering Lead - Conversational, you will draw on deep, hands-on experience in building and delivering large-scale, production-grade conversational AI and Retrieval-Augmented Generation (RAG) solutions. This role is for an AI expert who has genuinely "been there and done that", someone ready to architect, build, and operate a real-time AI customer support platform with a relentless focus on accuracy, reliability, and ultra-low latency. You'll lead a lean, high-impact team, driving the execution and innovation while ensuring production excellence at every layer of the stack.

Help Us Shape The Future Of Communication By

• Owning the design and implementation of the AI-driven customer care systems.
• Owning the solutions alignment of dependencies and service contracts with other teams.
• Designing, developing, and scaling real-time Retrieval-Augmented Generation (RAG) pipelines integrating state-of-the-art open-source LLMs (Llama 3, Mistral, Falcon, or similar).
• Implementing scalable, high-performance vector search (Qdrant, Weaviate, Milvus) for robust knowledge retrieval and semantic search.
• Having awareness of techniques such as quantization, pruning, distillation, batching, and caching for optimizing LLM inference with the minimum response times.
• Developing and exposing secure, performant APIs via FastAPI/gRPC or others, containerized (Docker), orchestrated (Kubernetes), and fully integrated into automated CI/CD pipelines.
• Embedding comprehensive monitoring and evaluation (e.g. MRR, , NDCG, Faithfulness, latency metrics) and implementing automated regression testing for continuous improvement.
• Championing and enforcing best practices for data security, compliance (GDPR, Saudi PDPL is a plus), and responsible AI, including PII redaction and end-to-end encryption.
• Demonstrating mastery of foundational software engineering by writing clean code and architecture, maintainable and testable code, designing robust, modular, and scalable systems; leveraging version control, and implementing comprehensive continuous integration, automated testing, and deployment practices.
• Leading rigorous design and code reviews, mentoring engineers, and fostering an innovative engineering culture grounded in clean architecture, SOLID principles, and proactive best practices to ensure system reliability, security, and agility.

Job requirements

What You'll Bring

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years delivering production AI/NLP systems, including 2+ years as a technical lead or senior staff engineer.
• Proven experience owning real-time conversational AI/RAG platforms at massive scale, serving thousands of concurrent users.
• Expert proficiency in Java or Python with strong software engineering fundamentals and system-design capabilities.
• Deep knowledge and hands-on experience with frameworks and technologies: PyTorch, Scikit-learn, Hugging Face, LangChain, LlamaIndex, SpringAI (Optional), vector databases (Pinecone, Weaviate, Milvus), and embedding models.
• Strong knowledge of Agentic AI design and tools, e.g. LangGraph, CrewAI, tool calling, and reasoning/thinking models.
• Strong knowledge about context-engineering, and how to design a RAG/chat system memory (long, short, summarized, .)
• Strong expertise in low-latency inference optimization and GPU resource management.
• Solid experience building large-scale data ingestion and processing pipelines (Spark, Flink, Kafka, RabbitMQ).
• Robust MLOps and deployment expertise (Docker, Kubernetes, MLflow, Kubeflow, Git-based prompt versioning, automated CI/CD).
• Clear communicator capable of translating complex technical concepts into strategic business value.
• Expertise in red-teaming practices and machine learning security research, including developing and reinforcing robust defenses against adversarial threats.
• Arabic & English language proficiency.

As a Unifone you'll receive a range of benefits:

• Competitive salary and bonus
• Unifonic share scheme (we are all owners)
• 30 holiday days after the first anniversary
• Your Birthday off
• Spend up to 25 days per year working from anywhere in the world
• Paid leave for new parents
• LinkedIn learning license

Join a high-performing Area HQ team driving AI innovation across strategic growth markets in Middle East and Africa. As a
Solution Engineer for Finance & Supply Chain
, you'll lead remote pre-sales engagements, shaping outcomes for enterprise customers with deep ERP expertise and a strong focus on AI transformation.

You'll collaborate with specialists, partners, and engineering teams to deliver compelling demos, workshops, and technical strategies that showcase the value of D365 F&SC, Copilot Studio, and AI Agents. Your work will help accelerate deal velocity, secure competitive wins, and support enterprise-wide adoption.

This role is ideal for someone passionate about guiding organizations through digital transformation—enhancing productivity, unlocking new opportunities, and delivering exceptional experiences through AI-powered solutions.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Owns the technical win strategy for each opportunity. Engage with Business Decision Makers (BDMs) and Technical Decision Makers (TDMs) to translate their priorities and goals to solution vision by addressing business challenges, prioritized with business value and by leveraging deep Dynamics 365 F&SC expertise to secure technical decisions.
• Orchestrates customer envisioning workshops, whiteboard design sessions, and compelling technical demos across Dynamics 365 F&SC, Copilot Studio, AI Agents.
• Leads proof-of-Concept engagements for high-priority scenarios, documenting POC outcomes and mapping customer solution requirements. Translate these findings into detailed technical plans – including migration pathways to D365, recommended migration tools – with clear milestones and risk mitigation strategies, captured in a Technical Close Plan for seamless hand-off to SI partners.
• Showcases Microsoft's unique value in AI-powered business process D365 solutions to win technical decisions against major competitors. Anticipate and address technical blockers – such as AI-related compliance, privacy, or security concerns – early in the sales process, developing mitigation plans that instill confidence in D365 solutions.
• Leverages the Microsoft partner ecosystem to enhance and scale solution delivery from early stages to assist with complex demos, POCs, and solution builds, ensuring their industry or domain expertise complements the sales strategy. Orchestrate co-selling and co-innovation with partners.
• Works closely with the Customer Success Unit (CSU) and deployment teams to ensure customers realize value from their Dynamics 365 investments. Secure a clear deployment plan for every deal, including agreed success metrics and adoption milestones. Drive early adoption of high-value, consumption-based features like Copilot Studio and Dynamics 365 AI Agents by capturing usage intent during pre-sales and incorporating it into the Technical Close Plan.

Qualifications
Required Qualifications

• Proven experience in enterprise solution engineering or technical sales roles.
• Track record of owning technical win strategies and leading complex customer engagements
• Recognized as a trusted advisor and thought leader; actively contributes to community learning and cross-team coaching of junior engineers.
• Proven years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND a few years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND a couple years technical pre-sales or technical consulting experience OR equivalent experience
• Professional English proficiency;

Preferred Qualifications

• Solutions pre-sales best practices including but not limited to; discovery, building and crafting solution strategies that differentiate from the competition, value-based selling, identifying, and expanding product opportunities
• Proven years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
• Deep Understanding of Sales and Service Dynamics 365 solutions like Finance, Supply Chain, Project Operations, and AI Agents offerings like Copilot Studio
• Certification in relevant technologies or disciplines (e.g., D365, Power Platform).

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Cairo, Egypt

Date posted

Sep 11, 2025

Job number

Work site

Up to 50% work from home

Travel

0-25%

Role type

Individual Contributor

Profession

Technology Sales

Discipline

Solution Engineering

Employment type

Full-Time

Join a high-performing Area HQ team driving AI innovation across strategic growth markets in Middle East and Africa. As a Solution Engineer for Finance & Supply Chain, you'll lead remote pre-sales engagements, shaping outcomes for enterprise customers with deep ERP expertise and a strong focus on AI transformation.

You'll collaborate with specialists, partners, and engineering teams to deliver compelling demos, workshops, and technical strategies that showcase the value of D365 F&SC, Copilot Studio, and AI Agents. Your work will help accelerate deal velocity, secure competitive wins, and support enterprise-wide adoption.

This role is ideal for someone passionate about guiding organizations through digital transformation—enhancing productivity, unlocking new opportunities, and delivering exceptional experiences through AI-powered solutions.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications

• Proven experience in enterprise solution engineering or technical sales roles.
• Track record of owning technical win strategies and leading complex customer engagements
• Recognized as a trusted advisor and thought leader; actively contributes to community learning and cross-team coaching of junior engineers.
• Proven years technical pre-sales or technical consulting experience
  
  OR Bachelor's Degree in Computer Science, Information Technology, or related field AND a few years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND a couple years technical pre-sales or technical consulting experience OR equivalent experience
• Professional English proficiency;

Preferred Qualifications

• Solutions pre-sales best practices including but not limited to; discovery, building and crafting solution strategies that differentiate from the competition, value-based selling, identifying, and expanding product opportunities
• Proven years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
• Deep Understanding of Sales and Service Dynamics 365 solutions like Finance, Supply Chain, Project Operations, and AI Agents offerings like Copilot Studio
• Certification in relevant technologies or disciplines (e.g., D365, Power Platform).

• Owns the technical win strategy for each opportunity. Engage with Business Decision Makers (BDMs) and Technical Decision Makers (TDMs) to translate their priorities and goals to solution vision by addressing business challenges, prioritized with business value and by leveraging deep Dynamics 365 F&SC expertise to secure technical decisions.
• Orchestrates customer envisioning workshops, whiteboard design sessions, and compelling technical demos across Dynamics 365 F&SC, Copilot Studio, AI Agents.
• Leads proof-of-Concept engagements for high-priority scenarios, documenting POC outcomes and mapping customer solution requirements. Translate these findings into detailed technical plans – including migration pathways to D365, recommended migration tools – with clear milestones and risk mitigation strategies, captured in a Technical Close Plan for seamless hand-off to SI partners.
• Showcases Microsoft's unique value in AI-powered business process D365 solutions to win technical decisions against major competitors. Anticipate and address technical blockers – such as AI-related compliance, privacy, or security concerns – early in the sales process, developing mitigation plans that instill confidence in D365 solutions.
• Leverages the Microsoft partner ecosystem to enhance and scale solution delivery from early stages to assist with complex demos, POCs, and solution builds, ensuring their industry or domain expertise complements the sales strategy. Orchestrate co-selling and co-innovation with partners.
• Works closely with the Customer Success Unit (CSU) and deployment teams to ensure customers realize value from their Dynamics 365 investments. Secure a clear deployment plan for every deal, including agreed success metrics and adoption milestones. Drive early adoption of high-value, consumption-based features like Copilot Studio and Dynamics 365 AI Agents by capturing usage intent during pre-sales and incorporating it into the Technical Close Plan.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.



Industry leading healthcare



Educational resources



Discounts on products and services



Savings and investments



Maternity and paternity leave



Generous time away



Giving programs



Opportunities to network and connect

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

*Portfolio And Project Management: *

• Develop and implement AI and data plans aligned with RDMC goals and objectives.
• Create and manage data governance by ensuring that data models adhere to needs, policies and regulations.
• Create and maintain conceptual, logical, and physical data models for various applications, ensuring they align with business requirements and objectives.

*Stakeholders Management: *

• Work with Business Partners to design and deploy Al models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to integrate Al solutions into various business processes.
• Prepare and present reports on data and Al initiatives to management.

*AI & Data Management: *

• Oversee the collection, storage, and analysis of large datasets; and ensure data quality, integrity, and security.
• Design, implement, and maintain data warehousing solutions, ensuring data integrity, security, and performance optimization.
• Monitor and evaluate the performance of Al systems and make necessary improvements.

*Organization Management: *

• Lead teams of Data Scientists, Machine Learning Engineers, Data and Bl specialists.
• Provide training and mentorship to team members.
• Stay updated with the latest trends and advancements in data science and Al.

*Other Duties: *

• Provide AI & Data services to Paris HQ or other subsidiaries if requested by RDMC.
• Perform other related duties or assignments as directed by the technical management.

*Qualifications: *
Essential Qualifications, Knowledge & Experience

• Bachelor's or master's degree is preferred in Computer Science, Data Science, Business Information Systems, or related STEM study.
• Good English and Arabic Language level, French is a plus

*Knowledge: *

• Strong knowledge of relevant programming languages such as Python, R, and SQL.
• Knowledge of data science techniques, Al frameworks/ models and ML tools.
• Excellent leadership and team management skills.

*Experience: *

• At least 5 years of experience in AI/ML or data related fields.
• with evidence of successfully implemented projects.
• Experience seeing or managing data projects through the full life cycle is a plus.
• Understanding of the corporate environment is required.

Desired Behaviors & Experiences

• Ability to pay attention to details.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced and dynamic environment.

*Qualifications:
Profil de candidat recherché : *

• Bachelor's or master's degree is preferred in Computer Science, Data Science, Business Information Systems, or related STEM study.
• Good English and Arabic Language level, French is a plus

*Knowledge: *

• Strong knowledge of relevant programming languages such as Python, R, and SQL.
• Knowledge of data science techniques, Al frameworks/ models and ML tools.
• Excellent leadership and team management skills.

*Experience: *

• At least 5 years of experience in AI/ML or data related fields.
• with evidence of successfully implemented projects.
• Experience seeing or managing data projects through the full life cycle is a plus.
• Understanding of the corporate environment is required.

Company Description

Link Academy for Training & Consultancy is a training provider with branches in Giza, Egypt and Jeddah, Saudi Arabia. Established in 2015, Link Academy is an authorized training partner with PMI (Project Management Institute) in the USA since 2023. Specializing in online interactive courses in the engineering field, our experienced trainers deliver practical and hands-on training tailored to the needs of individuals, companies, and academic institutions.

Role Description

This is a full-time, remote role for an instructor who will develop and teach a new course focused on AI tools for engineers. The instructor will be responsible for creating content that shows engineers in different sectors how to use AI-powered software and tools to improve their efficiency. The course will cover topics like using AI for design optimization, predictive analysis, and task automation, without focusing on the programming or theoretical aspects of AI development.

Qualifications

• Bachelor's degree in an Engineering field.
• Practical experience using various AI tools in a professional engineering context.
• Familiarity with engineering software and how AI tools can integrate with them.
• Proven ability to research and identify new and effective AI tools for engineers.
• Excellent communication and presentation skills in both English and Arabic.
• Prior teaching or training experience is highly desirable.

AI/ML Engineering, Senior Tech Lead, Cairo, Egypt
Connect to your career at Deloitte
Deloitte, established globally in 1845, is the world's largest and leading professional services firm, providing Audit & Assurance, Tax & Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.

Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North & South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients' most complex business problems, across portfolios that include 'Strategy & Transactions', 'Customer', 'Engineering, AI & Data, 'Enterprise, Technology & Performance' and 'Cyber'. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.

We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.

Connect to your opportunity
Data requirements gathering and client engagement.

• Being able to engage with the client to understand their pain points and requirements.
• Communicate solutions/propositions effectively back to client/team.

Data analysis and pre-processing

• Collect and clean large datasets for machine learning projects.
• Explore data to identify patterns, anomalies, and potential insights.
• Pre-process data, including feature engineering and normalization.

Algorithm Development

• Design, develop, and implement machine learning algorithms.
• Experiment with various machine learning models and techniques.
• Optimize algorithms for accuracy, efficiency, and scalability.

Model Training and Evaluation

• Train machine learning models using collected data.
• Perform testing to validate models
• Evaluate model performance using appropriate metrics and techniques.
• Fine-tune models to improve predictive accuracy.

Data Visualization

• Create informative data visualizations to communicate insights effectively
• Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualisation software's like Tableau, PowerBI.

Connect To Your Skills And Professional Experience
You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.

• 10+ years of experience in data engineering / data science

Essentials

• Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
• Data proficiency: Proficient in data collection, pre-processing, and analysis.
• Model Mastery: Proven experience in developing and fine-tuning machine learning models.

Desirables

• Domain Knowledge: Familiarity with deploying ML frameworks in industry
• Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
• Project Leadership: Previous experience leading AI/ML initiatives.

Diversity is our strength, and we celebrate the individuality of our team members. At Deloitte, we embrace differences and encourage everyone to be their authentic selves. We believe that it's these differences that keep us strong, successful, and diverse. Join us and be a part of a team that values your uniqueness

Connect to your service line - Technology and Transformation
Distinctive thinking, deep expertise, and collaborative working. That's what connects us. That's what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we'll make an impact that matters.

Personal independence
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.

Connect to your Industry
"What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte's clients include many of the world's largest organisations; I wanted to be part of a team that made a difference that I could be proud of."

• Dan, Technolgy & Transformation

Our commitment to you
Making an impact is more than just what we do: it's why we're here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.

We want you. The true you. Your own strengths, perspective, and personality. So, we're nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we'll take your wellbeing seriously, too. Because it's only when you're comfortable and at your best that you can make the kind of impact you, and we, live for.

Your expertise is our capability, so we'll make sure it never stops growing. Whether it's from the complex work you do, or the people you collaborate with, you'll learn every day. Through world-class development, you'll gain invaluable technical and personal skills. Whatever your level, you'll learn how to lead.

Connect to your next step
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you'll experience a purpose you can believe in and an impact you can see. You'll be free to bring your true self to work every day. And you'll never stop growing, whatever your level.