Arabic-speaking AutoGen Engineer (f/m/x)

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 the around world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

As a Autogen Engineer, your primary resposibilties would enclude:

-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 business-impactful 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 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, 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 on emerging AI technologies and bringing innovative capabilities into production use.

What we offer:

-Individual career path
-Access to countless trainings and certification offerings
-A knowledge sharing culture
-An environment where you are actively contributing your ideas
-The possibility to work in projects in 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 Arabic and English language in spoken and written form.
-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 and 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 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 full AI solutions—not just prototypes.
-Advanced skills in prompt and context engineering, (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 and global initiatives.
-Committed to knowledge sharing, documentation, and mentoring to support team growth.
-Effective at working 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.)
-Experience with IBM Garage, OpenPages, OpenScale, and advanced governance platforms.
-Understanding of AI cost optimization and production reliability concerns.
-Experience building AI solutions with synthetic or simulated data.