What success looks like in this role:

• Works closely with cross-functional project team members to ensure an integrated approach to AI / ML model application.
- Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks

• Works with AI Engineers, AI experts and associated operations and other technical personnel to deliver end-to-end solutions designed to enhance user experience and deliver superior results.
• Collaborates on the definition of AI / ML model development and application standards.
• Employs creative and leading-edge thinking to reconcile end user requirements with technical feasibility and business viability.
• Collaborates with model builders and recommends architectures to ensure timely and quality service delivery.
• Provides targeted feedback and peer review for AI / ML and allied team members.
• Leverages current understanding of AI / ML and software engineering to transform ideas into specific model, development and product recommendations.
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You will be successful in this role if you have:
- BS/BE Degree with 8+ years of relevant experience.
- Strong hands-on experience with Large Language Models (LLMs) and their application in agent-based and autonomous systems.
- Solid understanding of Agentic AI concepts, including planning, reasoning, and multi-agent collaboration.
- Solid understanding and hands-on experience agent orchestration frameworks and AI tooling ecosystems (e.g., CrewAI).
- Proficiency with Azure AI Services, including Azure OpenAI, Azure AI Doc Intelligence, Translator, etc
- Strong understanding of Azure OpenAI GPT models, including capabilities, limitations, prompt engineering, function calling, tool use, and structured outputs.
- Solid programming skills in Python, with experience integrating AI services, APIs, and data pipelines.
- Proficiency in back-end development using Python, and/or Golang, with a focus on API-driven architectu

📌 Lead Engineer AI/ML (Bengaluru)
🏢 Unisys
📍 Bengaluru