Introduction
In this role, you will be part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide in-depth technical and industry expertise to a diverse range of public and private sector clients around the world. Our delivery centers leverage local skills and technical knowledge to foster innovation and facilitate the adoption of new technology.
A career in IBM Consulting emphasizes long-term relationships and close collaboration with clients on a global scale. You will collaborate with thought leaders across various industries to enhance the hybrid and AI journey for some of the most innovative and impactful companies worldwide. Your capacity to drive meaningful change for clients will be supported by our strategic partner ecosystem and our robust technology platforms, which encompass IBM Software and Red Hat.
Curiosity and an insatiable quest for knowledge are foundational to success in IBM Consulting. In your role, you will be encouraged to challenge conventions, explore ideas beyond your immediate responsibilities, and develop creative solutions that lead to groundbreaking impacts for our extensive network of clients. Our culture, characterized by evolution and empathy, focuses on long-term career growth and development in an environment that values your unique skills and experiences.
Role Overview
As an Autogen Engineer, your primary responsibilities will include:
- Designing and implementing enterprise-grade generative AI and agentic 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 enable reusability across multiple client engagements.
- Supporting 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 both internal and external stakeholders.
- Leading and contributing to client presentations and workshops, effectively articulating technical solutions and business value.
- Facilitating communication and delivery with Arabic-speaking clients across the Middle East and North Africa to support IBM’s regional growth and cross-border initiatives.
- Demonstrating strong leadership in guiding teams on IBM’s flagship AI platform (ICA4AA), promoting assetization, scalability, and enterprise-wide adoption.
- Staying informed about emerging AI technologies and integrating innovative capabilities into production use.
What We Offer
- Individual career path development.
- Access to numerous training and certification offerings.
- A culture of knowledge sharing.
- An environment where your ideas are actively encouraged.
- The opportunity to work on projects within one of the largest IT companies.
Required Technical and Professional Expertise
- Expertise in IBM’s platforming and assetization process for reusable AI solutions across global client accounts.
- Excellent command of Arabic and English, both spoken and written.
- 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 agentic architectures, including advanced multi-agent patterns.
- 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 solid understanding of 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 full-fledged AI solutions—not just prototypes.
- Advanced skills in prompt and context engineering, including parameter-efficient fine-tuning (PEFT) 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.
- Commitment to knowledge sharing, documentation, and mentoring to foster team development.
- Effective in both independent and collaborative work within global, multicultural teams.
Preferred Technical and Professional Experience
- Experience delivering projects within healthcare, insurance, legal, and other regulated sectors.
- Familiarity with LLMOps tools (LangSmith, Weights & Biases, etc.).
- Experience with IBM Garage, OpenPages, OpenScale, and advanced governance platforms.
- Understanding of AI cost optimization and production reliability considerations.
- Experience building AI solutions utilizing synthetic or simulated data.
Apply online using the form below. Only applications matching the job profile will be considered.