Introduction
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 some of the most innovative and valuable companies in the world. Your ability to accelerate impact and create meaningful change for your clients is supported 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 for success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, explore ideas outside of your immediate responsibilities, and generate creative solutions that have a groundbreaking impact on a wide network of clients. Our culture of evolution and empathy focuses on long-term career growth and development opportunities in an environment that values your unique skills and experiences.
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 diverse array of public and private sector clients around the world. Our delivery centers provide clients with locally based skills and technical expertise to drive innovation and the adoption of new technology.
Your Role and Responsibilities
We are seeking a Lead AutoGen Engineer with extensive experience in Autogen, who is skilled in designing systems that ensure agentic AI operates reliably in regulated, high-stakes environments for both client-facing and internal platforms. This is a hands-on technical leadership role for someone adept at building production-grade agentic systems—not merely as a research exercise but as engineering deliverables that consistently perform within compliance-driven and high-stakes environments.
The challenges you will tackle do not have off-the-shelf solutions. You will be expected to make architectural decisions, iterate when initial designs fall short, and communicate those choices effectively to both technical teams and enterprise stakeholders.
What You Will Do
- Design and deliver RAG systems for complex, document-heavy domains, defining ingestion strategies, retrieval architectures, and generation-side optimization tailored to specific content types and use cases.
- Architect multi-agent orchestration systems that coordinate specialized agents using autogen and other frameworks, incorporating structured quality evaluation and targeted correction loops within the pipeline.
- Build LLM routing and evaluation infrastructure—selecting models per task, optimizing generation parameters, and ensuring full auditability of outputs for regulated delivery environments.
- Lead end-to-end technical delivery: from problem framing and system design to implementation, quality assurance, and stakeholder communication.
- Work across regulated industries, including life sciences, insurance, and financial services—understanding compliance, traceability, and domain accuracy at the implementation level.
- Evaluate and implement fine-tuning approaches when retrieval-based solutions fall short, applying sound judgment to determine appropriateness.
- Mentor engineers and establish technical standards for agentic AI development within the practice.
- Collaborate with client stakeholders to translate complex domain requirements into functioning system behaviors.
What We Offer
- Individual career path
- Access to numerous training and certification offerings
- A culture of knowledge sharing
- An environment where your ideas are actively valued
- The opportunity to engage in projects with one of the largest IT companies
Required Technical and Professional Expertise
- Proven experience (8 years +) in building and iterating on production-grade agentic systems across the full stack—ingestion, retrieval, orchestration, generation, and quality assurance.
- Deep understanding of statistics, probability, data science, machine learning, and transformer architectures.
- Strong expertise in multi-agent frameworks, including orchestration patterns, parallel agent architectures, feedback loops, and structured output pipelines.
- Thorough knowledge of data ingestion and RAG pipeline designs across diverse content types, retrieval strategies, and generation optimization techniques.
- Extensive experience delivering agentic systems from end to end in regulated industries.
- Experience integrating multiple LLM providers with routing logic, audit logging, and parameter optimization for enterprise and regulated contexts.
- Proficiency in advanced prompt and context engineering skills.
- Integrating agentic solutions with cloud platforms such as Azure OpenAI, IBM Watsonx, and AWS, ensuring governance, safety, and monitoring.
- Proficiency in Python and relevant engineering tools; experience with cloud platforms, including AWS and GCP.
- A track record of delivering agentic systems that produce measurable operational impact for enterprise clients in regulated industries.
- Advanced database skills across SQL (MySQL, SQL Server), NoSQL (MongoDB, Neo4j), and VectorDBs (CosmosDB, Azure AI Search, FAISS).
- The ability to lead small technical teams, set directions, and maintain delivery quality across complex engagements.
- Strong communication skills—able to present architectural decisions and system behaviors to non-technical audiences including clinical, regulatory, and business stakeholders.
- Language proficiency in Hindi and English—professionally required for coordination with other teams involved in the engagement.
Preferred Technical and Professional Experience
- Experience with clinical or regulatory document workflows—pharmaceutical submissions, compliance reporting, or structured document generation at scale.
- Experience working with IBM's agentic asset portfolio.
- Familiarity with Model Context Protocol (MCP) and emerging agentic interoperability standards, agentic skills, and tools.
- Comprehensive multi-agent system design demonstrating versatility in agentic architecture application across multiple domains.
Apply online using the form below. Only applications matching the job profile will be considered.