Introduction
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer locally based skills and technical expertise to drive innovation and facilitate the adoption of new technology.
A career in IBM Consulting embraces long-term relationships and close collaboration with clients globally. You’ll work with visionaries across multiple industries to enhance the hybrid and AI journey for some of the most innovative and valuable companies in the world. Your ability to accelerate impact and foster meaningful change for your clients will be supported by our strategic partner ecosystem and robust technology platforms across the IBM portfolio, including IBM Software and Red Hat.
Curiosity and a constant quest for knowledge are essential to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, explore ideas outside of your immediate responsibilities, and develop creative solutions, resulting in groundbreaking impacts for a vast network of clients. Our culture of evolution and empathy emphasizes long-term career growth and development opportunities in an environment that values your unique skills and experience.
Position Overview
As an Autogen Engineer, your primary responsibilities will include:
- Designing and implementing enterprise-grade generative AI and agent-based systems (RAG, multi-agent frameworks) for both client-facing and internal platforms.
- Developing and optimizing AI models for document understanding, legal/insurance processing, and healthcare data extraction.
- Integrating AI solutions with cloud platforms such as Azure OpenAI, IBM Watsonx, and AWS, ensuring governance, safety, and monitoring.
- Collaborating with cross-functional teams (product managers, SMEs, legal, compliance) to define requirements and deliver impactful business solutions.
- Driving the assetization and modularization of AI solutions to enhance reusability across multiple client engagements.
- Supporting the deployment, monitoring, and maintenance of AI systems with a focus on data drift, model explainability, and responsible AI practices.
- Producing high-quality technical documentation, onboarding guides, and architecture blueprints for internal and external stakeholders.
- Leading and contributing to client presentations and workshops, articulating technical solutions and business value effectively.
- Facilitating communication and delivery with Arabic-speaking clients across the Middle East and North Africa, supporting IBM’s regional growth and cross-border initiatives.
- Demonstrating strong leadership in guiding squads on IBM’s flagship AI platform (ICA4AA), driving assetization, scalability, and enterprise-wide adoption.
- Staying informed about emerging AI technologies and bringing innovative capabilities into production use.
What We Offer
- Individual career path
- Access to countless training and certification opportunities
- A knowledge-sharing culture
- An environment where your ideas are actively contributed
- The opportunity to work on projects with one of the largest IT companies
Required Technical and Professional Expertise
- Expertise in IBM’s platforming and assetization process with reusability of AI solutions across global client accounts.
- Excellent command of the Arabic and English languages in both spoken and written forms.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Proven experience in AI engineering or data science, delivering production-grade solutions in enterprise environments.
- Hands-on expertise with Generative AI frameworks (AutoGen, LangChain) and agent-based architectures.
- Direct experience with advanced agentic systems (Model Context Protocol [MCP], MCP Gateway, Agent-to-Agent frameworks [A2A]) and multi-agent enterprise design.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, Keras, scikit-learn), with a solid grounding in ML, NLP, and RAG pipelines.
- Practical experience with major cloud AI platforms (Azure, IBM Watsonx, AWS).
- Strong background in API development and workflow orchestration.
- Experience in AI governance, compliance, monitoring, and model drift management.
- Advanced database skills across SQL (MySQL, SQL Server), NoSQL (MongoDB, Neo4j), and VectorDBs (CosmosDB, FAISS).
- Demonstrated ability to scope, build, and deliver complete AI solutions—not just prototypes.
- Advanced skills in prompt and context engineering and LLM fine-tuning.
Soft Skills
- Strong critical thinking, analytical, and communication abilities.
- Proven leadership in driving innovation, guiding teams, and scaling solutions across diverse projects and global initiatives.
- Commitment to knowledge sharing, documentation, and mentoring to support team growth.
- Ability to work both independently and collaboratively within global, multicultural teams.
Preferred Technical and Professional Experience
- Delivery experience in healthcare, insurance, legal, and other regulated sectors.
- Experience with LLMOps tools (LangSmith, Weights & Biases, etc.)
- Familiarity with IBM Garage, OpenPages, OpenScale, and advanced governance platforms.
- Understanding of AI cost optimization and production reliability concerns.
- Experience in building AI solutions with synthetic or simulated data.
Apply online using the form below. Note that only applications matching the job profile will be considered.