Lead AutoGen Engineer (f/m/x) with English & Hindi language skills
- Unternehmen
- IBM Client Innovation Center Switzerland GmbH
- Ort
- Prilly
- Datum
- 13.05.2026
- Referenznummer
- 293608
About the Role
This position involves collaborating with experts from various industries to enhance the hybrid and AI journey for some of the world's most innovative companies. You will play a pivotal role in transforming client experiences by leveraging our strategic partnerships and advanced technological platforms, including IBM Software and Red Hat.
Your success hinges on your curiosity and continuous pursuit of knowledge, encouraging you to challenge conventional norms and generate inventive solutions. Our empathetic culture prioritizes long-term career development and growth opportunities, celebrating your distinct skills and experiences.
Key Responsibilities
- Design and implement RAG systems for complex, document-centric domains, establishing effective ingestion strategies and optimizing retrieval architecture.
- Architect multi-agent orchestration systems that integrate specialized agents, utilizing autogen frameworks for efficient parallel and sequential workflows.
- Develop LLM routing and evaluation infrastructures to select models, optimize parameters, and ensure auditability for regulated environments.
- Lead comprehensive technical delivery from problem framing to system implementation, quality assurance, and stakeholder communication.
- Engage with regulated industries such as life sciences, insurance, and financial services to navigate compliance and domain accuracy challenges.
- Assess and implement fine-tuning techniques when retrieval-based solutions are inadequate, applying sound judgment in each scenario.
- Mentor engineers and establish technical standards in agentic AI development.
- Collaborate with client stakeholders to translate complex domain requirements into effective system behaviors.
What We Provide
- Individualized career paths tailored to your goals.
- Access to extensive training and certification programs.
- A culture of knowledge sharing that values your contributions.
- An opportunity to engage in projects with one of the largest IT companies in the world.
Required Expertise
- Proven experience with 8+ years in developing and refining production-grade agentic systems across the full technology stack.
- Comprehensive understanding of statistics, probability, data science, machine learning, and transformer architectures.
- Expertise in multi-agent frameworks and orchestration patterns suitable for complex workflows.
- Thorough knowledge of data ingestion, retrieval strategies, and generation techniques for diverse content types.
- Experience in delivering agentic systems within regulated industries.
- Ability to integrate multiple LLM providers while ensuring routing logic, audit logging, and parameter optimization.
- Proficiency in Python and relevant engineering tools, with cloud platform experience in AWS and GCP.
- Advanced database skills across SQL, NoSQL, and VectorDBs.
- Ability to lead technical teams and uphold quality in delivery across complex engagements.
- Strong communication skills for presenting technical decisions to non-technical stakeholders.
- Professional proficiency in Hindi and English for effective teamwork and coordination.
Preferred Experience
- Exposure to clinical or regulatory document workflows, such as pharmaceutical submissions and compliance reporting.
- Familiarity with IBM's agentic asset portfolio.
- Knowledge of Model Context Protocol (MCP) and emerging standards in agentic interoperability.
- Experience in designing multi-agent systems across various domains.