94 AI Consultant jobs in Egypt

Senior AI Consultant

innovaDigits
is a leading provider of outsourcing services, dedicated to assisting companies across various industries in building and modernizing their digital solutions and infrastructure. We focus on bridging customer and employee experience gaps in today's business-driven world.

We are looking for an experienced
Senior AI Consultant
with strong expertise in artificial intelligence, machine learning, and advanced analytics to support one of our leading clients in the
financial and investment industry
. The ideal candidate will have proven experience in developing, deploying, and optimizing AI-driven solutions, with the ability to translate complex business requirements into impactful, data-driven strategies. This role requires both technical depth and business acumen, enabling collaboration with stakeholders to deliver innovative AI solutions that drive measurable value.

Responsibilities:

• Designing and implementing AI/ML solutions tailored to financial and investment use cases, including risk modeling, fraud detection, and predictive analytics.
• Leading the end-to-end lifecycle of AI projects—from business problem framing to data exploration, model development, validation, deployment, and monitoring.
• Advising stakeholders on AI strategy, emerging trends, and best practices within financial services.
• Building scalable machine learning pipelines and ensuring models are production-ready.
• Collaborating with cross-functional teams (data engineers, business analysts, domain experts) to ensure successful integration of AI solutions into business processes.
• Conducting research on advanced AI/ML algorithms and recommending innovative approaches.
• Ensuring AI models are explainable, ethical, and compliant with regulatory standards.
• Monitoring deployed models for performance, drift, and accuracy, and retraining when required.

Requirements
:

• 7+ years of experience
  in AI, machine learning, or data science roles, preferably in financial services or investment industries.
• Strong expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficiency in programming languages such as Python, R, or Scala.
• Solid understanding of data engineering concepts, feature engineering, and model deployment.
• Experience with cloud platforms (AWS, Azure, or GCP) and ML Ops practices.
• Knowledge of NLP, deep learning, and time-series modeling is highly desirable.
• Strong problem-solving skills with the ability to handle complex datasets and deliver actionable insights.
• Excellent communication and stakeholder management skills to present AI strategies and solutions effectively.

Work details:

• Cairo office |

Role Summary

Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
Reporting to the Director of Project Controls
and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.

Key Responsibilities

• Identify and priorities high‑impact AI use cases for various functions and departments.
• Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
• Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
• Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
• Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
• Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
• Establish data‑privacy, model‑risk and ethical‑AI controls.
• Develop training programmes and user documentation; champion adoption across multiple business units.
• Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.

Required Qualifications

Education:
BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.

Experience:
1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.

Technical Toolkit:

Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.

Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)

Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.

Applied machine learning techniques on multiple projects

Soft Skills
: Stakeholder engagement up to C‑suite, vendor management, presentation & training capability; fluent English and Arabic.

Desirable Skills:

•Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.

•AI‑related credentials

Location:
Head Office, 6th of October City, Giza, 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.

Roles and Responsibilities

Pipeline Development

• Identify and engage target accounts across Egypt and GCC, focusing on verticals like real estate, HR/Recruitment, BFSI, and public sector.
• Partner with Google Cloud AEs and marketing to run co-sell motions, workshops, and events.
• Generate qualified opportunities through outbound prospecting, industry networking, and partnerships.

Consultative Sales & Discovery

• Lead C-level discovery sessions to identify operational challenges and frame
  agentic AI use cases
  with measurable ROI.
• Educate clients on the business value of AI solutions in a low-maturity market.
• Document business cases and mutual action plans with clear success metrics.

Solution Scoping & Pilots

• Shape opportunities into
  Discovery → Pilot → Production
  engagements.
• Work with Solution Architects to define high-level designs, data requirements, and feasibility.
• Leverage ES's AI capabilities while positioning custom AI solutions as the core offering.

Deal Management & Closing

• Draft and negotiate proposals, pricing, and SOWs with clear acceptance criteria.
• Manage pilot governance and ensure
  ≥60% conversion
  of pilots to production.
• Secure customer references and success stories for vertical playbooks.

Forecasting & Reporting

• Maintain accurate CRM hygiene with pipeline stages, forecasts, and account plans.
• Provide weekly commit updates and insights to leadership.

Skills & Qualifications

• 5+ years of
  enterprise sales
  experience (cloud, AI, automation, or digital transformation).
• Proven success in
  consultative selling
  and solution-based sales in emerging tech.
• Strong ability to translate complex AI concepts into
  business value language
  for executives.
• Experience leading
  pilots/POCs
  with measurable KPIs and converting them to production deals.
• Preferable Knowledge of
  Google Cloud AI stack
  (Vertex AI, ADK) or Agentic workflow platforms (LangChain, n8n) a strong plus.
• Excellent negotiation, communication, and presentation skills.
• Familiarity with data residency, compliance, and regulatory concerns in Egypt and GCC markets.
• Entrepreneurial mindset: thrives in a
  nascent market
  , comfortable with ambiguity, hands-on, and able to build processes from scratch.
• Fluency in English
• Frequent travel across GCC (UAE, KSA, Qatar, Kuwait).

Location:

Department: Global Solution Consulting

Position Overview

We are seeking a seasoned Solution Consultant with deep expertise in Generative AI and Large Language Models (LLMs) to join our high-impact team. In this role, you will act as a strategic and trusted advisor to enterprise clients, helping them unlock the full potential of Uniphore's AI platform. You'll drive solutioning and innovation across customer engagements, turning complex business challenges into AI-powered opportunities.

Key Responsibilities

• Lead technical discovery sessions to understand client objectives, data environments, and AI readiness.
• Design and deliver impactful AI/LLM-powered solutions aligned with customer goals and industry best practices.
• Translate technical capabilities—particularly around Generative AI and LLMs and Uniphore's Platform—into compelling business outcomes.
• Partner closely with Sales, Product, and Engineering teams to ensure scalable, client-centric solutions.
• Continuously monitor AI advancements and translate insights into strategic recommendations.
• Support customer enablement through workshops, documentation, and presentations.

Required Skills and Qualifications

Technical Expertise

• 6+ years of experience in technical pre-sales, solutions consulting, or AI implementation roles.
• Proven hands-on experience with Generative AI, LLMs (e.g., GPT, Claude, PaLM, LLaMA), and related tools (e.g., LangChain, vector databases).
• Strong understanding of raw data, data structures, NLP/NLU/NLG, ML pipelines, and prompt engineering.
• Experience with enterprise-grade AI deployments, including model evaluation, customization, and integration.

Domain & Industry Acumen

• Ability to contextualize solutions within specific industries (e.g., telecom, BFSI, healthcare).
• Experience aligning AI use cases to measurable business value (e.g., cost savings, efficiency, CX improvement).

Customer-Facing Skills

• Exceptional communication and storytelling abilities—comfortable with both C-level conversations and deep-dive technical workshops.
• Strong documentation and presentation skills, with a knack for simplifying complex ideas.
• Proven track record of relationship-building, stakeholder influence, and cross-functional collaboration.

Problem Solving & Innovation

• Creative, analytical thinker with a proactive, ownership-driven mindset.
• Ability to ideate and troubleshoot real-world client challenges using state-of-the-art AI tools.

Learning & Growth Mindset

• Passion for staying ahead of the curve in the AI/LLM space and sharing knowledge across the organization.

Why Join Us

• Work with industry-defining Conversational AI and Generative AI technologies.
• Collaborate with world-class teams on cutting-edge customer engagement solutions.
• Enjoy a culture that rewards innovation, accountability, and continuous growth.

We are looking for a Data Science & AI Instructor to join our expert team.

Qualifications :

• +5 years of experience in Data Science, Python Workshops, AI
• Must have previous teaching experience

Teaching conditions:

• Fully online via zoom
• Teaching after 7pm
• Freelancing - part-time by contract.

apply with cv and job title on:

• -

A leading Engineering Training Company is seeking Data science & AI instructor

to join our team.

As a Data Science Instructor, you'll play a pivotal role in our trainees' development.

Responsibilities:

• Develop and refine engaging session materials that resonate with diverse learning styles.

• Curate and prepare relevant datasets for practical exercises and impactful projects.

• Deliver clear, concise, and compelling explanations of complex technical concepts.

• Provide timely and insightful support to trainees through various communication channels.

• Evaluate progress and offer constructive mentorship, guiding trainees through their learning journey.

• Stay at the forefront of industry trends, continuously updating your knowledge of new technologies and tools.

Qualifications and requirements

-5 years of experience in, Data Science and related fields

-Educational background in relevant fields such as Engineering, Computer Science, Statistics, or Business.

-Communication Skills Articulate complex ideas clearly and effectively.

-Outstanding Presentation Skills

-Command attention and inspire learning.

-High Commitment Level Dedicated to trainee success and program excellence.

Strong Leadership Skills: -Guide and motivate aspiring professionals.

Technical Skills:

• Python Programming

• Data Analysis

• Deep Learning

• Machine Learning with Python

How to Apply:

If you're passionate about technology and eager to contribute to an innovative engineering training company, please send your CV to:

-

Space Code Academy is expanding its teaching team and looking for passionate
Data Science & Machine Learning professionals
to join as
part-time instructors
. This role is ideal for experts who want to share their knowledge, mentor aspiring data scientists, and gain recognition as leaders in the field.

Responsibilities:

• Deliver interactive training sessions covering Data Science & Machine Learning.
• Guide students through practical projects, case studies, and industry applications.
• Mentor learners on tools, frameworks, and career paths.

What We Offer:

• Flexible part-time teaching schedules.
• Competitive and rewarding compensation.
• A dynamic academic community with growth opportunities.
• Recognition as a subject-matter expert in AI & Data Science.

Requirements:

• Strong expertise in
  Python
  and core libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Solid understanding of
  Machine Learning algorithms
  (supervised & unsupervised).
• Knowledge of
  Deep Learning
  frameworks (TensorFlow / PyTorch) is a plus.
• Experience in
  Data Analysis, Statistics, and Visualization
  .
• Previous teaching or mentoring experience is highly valued.
• Excellent communication skills in English.

How to Apply:

• Send your CV to
  
  with the subject line
  "Part-Time Data Science & ML Instructor Application"
  .

• Epsilon AI Academy is hiring Data Science instructors who Manage and delivers the course materials to trainees in an engaging thought-provoking manner
• The successful candidate will be able to contribute to the delivery of topics relating to Artificial Intelligence, Machine Learning, Data Science and Programming
• Engage in the classroom and reply to emails, Trainees questions, etc. within 24 hours on non-holiday weekdays.
• Evaluate and grade Trainees' class work, assignments, and papers within the timeframe set forth by Epsilon AI policy providing effective feedback to guide Trainees' learning and success.
• Maintain the cadence of the course: Keep Trainees on track, monitor each individual's progress, and design and implement learning or service interventions when Trainees fall behind

• Expert level in Python, including Numpy, Pandas, Scikit-learn
• Proficiency in Relational and non-relational databases with in-depth knowledge of machine learning and artificial intelligence libraries and APIs.
• Strong foundation in Mathematics
• Excellent programming skills (including OOP and preferably functional programming)
• Solid Understanding of Machine Learning Models; Data Preparation, Cleaning up data; Mathematics; Model Deployment
• Solid understanding of Data Science techniques
• Lead project sprints, helping Trainees scope and execute larger technical projects to demonstrate mastery of each content module
• Diligently respond to Trainees needs and questions during the course schedule
• Acts as a technical mentor guiding Trainees on a technical journey of discovery
• Working experience in data science
• Bachelor s degree (or higher) in -Computer Science/Engineering or related field preferred
• A minimum of 1-year experience with research/development/application of Data Science
• Experience using technology and interactive electronic materials to support teaching and learning.