54 AI & Emerging Technologies jobs in Egypt

About e& CX Solutions

It's one of Etisalat affiliates that offers business process outsourcing services. With Our highly skilled team, cutting-edge technology, and a decade of expertise in empowering business growth, we enable you to optimize operations and enhance customer experiences. e& global services in Egypt cater excellence to your ever-changing lifestyle and ever-expanding demands – covering not only business process outsourcing, but a wide collection of services that suit your various needs. We will continue to be your trusted companion and consultant, enabling connectivity and everything beyond, accelerating the digital world and pioneering future-forward spaces.

As a key member of the AI Solutions Architect team, you will act as a trusted advisor to our team, this includes:

• Providing the architectural guidance and recommendations necessary to promote successful engagements with partners.

• Capture and share best-practice knowledge with our broader Solution Architect community. Share customer feedback to internal product management

• Design/implementation/consulting for Machine Learning/AI/Deep Learning solutions.

• Technical architecture, design, deployment and operations for AI services, standards, protocols and devices.

The ideal candidate will be responsible for:

• Perform detailed functional testing on VA as well as some non-functional tests needed (including regression testing)
• Perform test data preparation and creation requests
• Report, track and document testing defects
• Create manual and automated test cases
• Participate in planning, development and UAT for testing support
• Give a high importance to details
• Good communication skills
• Knowledgeable with Virtual Assistant, VoiceBot, ChatBot, NLU platform such as IBM Watson

MicroBIM
is a technology company delivering innovative software solutions for the Architecture, Engineering, and Construction (AEC) industry. We're driven by quality, collaboration, and the goal of transforming how AEC professionals work.

We are currently seeking a
Senior AI Engineer
to join our team and help us build intelligent solutions that push the boundaries of what's possible in the AEC sector.

Responsibilities:

• Develop AI-driven tools for geometry manipulation, parametric modeling, and generative design in construction applications.
• Implement machine learning algorithms to enhance efficiency, accuracy, and automation in design processes.
• Integrate computer vision and deep learning techniques for analyzing and optimizing construction models.
• Work with large-scale construction datasets to build AI models for predictive analysis and automation.
• Collaborate with engineers, architects, and construction professionals to develop customized AI solutions.
• Optimize geometry processing algorithms for real-time and large-scale construction data.
• Stay updated with advancements in AI, computational design, and automation to introduce innovative solutions in the construction industry.

Required Qualifications:

• Bachelor's or master's degree in computer science, Engineering, Mathematics, or a related field (ITI graduates are a plus).
• Has 4+ years of experience working in AI or related fields.
• Strong proficiency in C# and Python, with experience in developing computational geometry algorithms.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of 3D modeling and parametric design tools such as Autodesk Revit, Rhino, or Grasshopper.
• Experience in geometry optimization and feature recognition.
• Strong problem-solving skills and the ability to work in a multidisciplinary team.

Preferred Qualifications:

• Experience in Reinforcement Learning, Evolutionary Algorithms, or Generative AI for construction automation.
• Familiarity with cloud-based AI solutions and BIM automation workflows.
• Knowledge of robotic process automation (RPA) and digital twin technology in construction.
• Understanding of graph-based and computational design workflows.

What We Offer:

• Opportunity to work on cutting-edge AI-driven automation in the construction industry.
• Competitive salary and benefits package.
• Collaborative and innovative work environment.
• Professional development and career growth opportunities.

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).

Our client in KSA is seeking an on-site
AI Engineer
to design, build, and deploy advanced AI models. This role focuses on turning business needs into working AI solutions, with hands-on involvement in model development, optimization, and integration into real-world products.

Responsibilities
:

• Develop, train, and deploy AI/ML models with a focus on
  NLP, neural networks, and pattern recognition
  .
• Collaborate with the CTO and product teams to integrate AI models into production systems.
• Conduct research to improve model performance, scalability, and efficiency.
• Work with structured and unstructured data (text, financial, healthcare, etc.).
• Stay updated on the latest AI frameworks, tools, and research trends.
• Support innovation by experimenting with emerging technologies such as
  LLMs and generative AI
  .

Requirements
:

• Strong background in machine learning, AI model development, and software engineering.
• Hands-on experience with frameworks such as
  PyTorch, TensorFlow, and LangChain
  .
• Skilled in Python (JavaScript/TypeScript, R, or Java a plus).
• Experience with model training, fine-tuning, and deployment in production.
• Strong analytical and problem-solving abilities.
• Excellent teamwork and communication skills.
• 5 years of experience is
  required
  .
• On-site in
  Riyadh
  .

Primary Purpose

Execute hands-on data engineering, feature engineering, and model development tasks; contribute to deployments and monitoring under senior guidance.

Key Responsibilities

• Data Engineering
• Build and maintain ingestion jobs (batch/near-real-time) from core systems and external sources.
• Implement data validation, quality checks, and lineage tagging.
• Feature Engineering
• Create domain features: transaction velocity, rolling aggregates, delinquency buckets, KYC/AML risk indicators, digital behaviour metrics.
• Register, version, and document features in the feature store.
• Modelling & Evaluation
• Train baseline and advanced models (logistic regression, gradient boosting, tree ensembles, simple neural nets).
• Handle class imbalance (SMOTE, class weights), cross-validation, and calibration; produce model cards and explainability reports.
• MLOps
• Containerize models, write unit/integration tests, prepare pipelines for CI/CD, and implement inference endpoints/batch scoring.
• Build dashboards for performance and drift; execute retraining under playbooks.
• Documentation & Compliance
• Maintain clean, reviewable code; produce data dictionaries, feature specs, and runbooks.
• Follow security, privacy, and access control policies

Required Skills & Experience

• 1-2 years in applied ML/data engineering, preferably in financial services.
• Proficient in Python and SQL; familiarity with Spark/PySpark is a plus.
• Experience with scikit-learn, XGBoost/LightGBM; basic understanding of MLflow; containerization basics.
• Good grasp of statistics, A/B testing, and feature importance; curiosity about model risk and governance.
• Strong documentation and collaboration habits.

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.

Company Description

At The Waterway Developments, we strive to exceed perfection in everything we do through a group of subsidiaries offering a broad range of comprehensive services. Our highly experienced team and competent talents are committed to continuous improvement and innovation, securing mutual trust and success in the long term.

Role Description

This is a full-time Artifical Intelligence Associates role located in New Cairo. The role involves day-to-day tasks related to developing AI solutions, optimizing algorithms, conducting data analysis, and implementing machine learning models to support business objectives.

Qualifications

• Strong background in Artificial Intelligence, Machine Learning, and Data Analysis
• Proficiency in programming languages like Python, Java, or R
• Experience with AI algorithms, neural networks, and deep learning
• Knowledge of statistical modeling and data visualization techniques
• Excellent problem-solving and critical thinking skills
• Bachelor's or Master's degree in Computer Science, Data Science, or related field

Role Overview

As a FastTrack Specialist focused on Microsoft Copilot workshops, you'll lead beginner-friendly sessions that introduce users to Copilot in Microsoft 365 showing them how to use AI to boost productivity, simplify tasks, and work smarter. This role is ideal for early-career professionals with basic tech knowledge, strong communication skills, and a desire to grow in the world of AI-powered productivity.

Key Responsibilities:

• Deliver hands-on workshops that teach users how to use Microsoft Copilot in apps like Word, Excel, Outlook, and Teams
• Walk participants through simple use cases (e.g., drafting emails, summarizing documents, generating meeting notes)
• Answer basic questions and help troubleshoot common issues during sessions
• Collect feedback to improve workshop content and user experience
• Collaborate with senior team members to align workshop goals with customer needs

Required Skills & Experience:

• 1–2 years of experience in a customer-facing role such as tech support, tutoring, customer service, training, or sales development
• Familiarity with Microsoft 365 apps and basic AI concepts
• Comfort presentation to small groups and guiding users step-by-step
• Curiosity about AI and willingness to learn new tools and features
• Clear, engaging communication skills and engaging presentation style.

Preferred Qualifications:

• Bachelor's degree in business administration or business information system.
• Microsoft 365 Fundamentals or AI Fundamentals certification (a plus, not required)
• Experience using Copilot or similar AI tools in a professional or academic setting

What does day-to-day look like:

• Develop and maintain DS/ML solutions, including data pipelines, model training, evaluation, and optimization.
• Collaborate with business stakeholders to gather and clarify requirements
• Translate business requirements into DS/ML code that accurately reflects business logic
• Write efficient, maintainable, and well-documented DS/ML solutions
• Participate in code reviews and follow established development standards
• Effectively analyze and select the best algorithms, optimize DS/ML solutions for performance improvement and accuracy
• Create and maintain technical documentation for developed solutions
• Support testing activities and resolve data-related issues

Required Qualifications:

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• 2+ years of hands-on DS/ML development experience
• Proficiency in at least some of the DS/ML areas and frameworks, including:
• Supervised learning (classification, regression, …)
• Unsupervised learning (clustering, anomaly detection, …)
• Time-series analysis
• Natural Language Processing (NLP)
• Computer Vision (CV)
• Statistical modeling
• Ability to understand and apply different models to real-world use cases
• Hands-on experience with DS and ML solutions in production environments
• Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics
• Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• Strong knowledge of data analysis pipelines and data visualization techniques
• Experience translating business requirements into DS/ML solutions

Preferred Qualifications:

• Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).
• Experience with cloud data platforms (Databricks, AWS, etc.)
• Knowledge of MLOps principles and tools for model deployment and monitoring
• Hands-on experience with PySpark and Databricks Platform
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench