Infosys - Senior Generative AI/Agentic AI Engineer

We are seeking a Senior GenAI / Agentic AI Engineer to lead the design and implementation of production-grade AI solutions for complex enterprise use cases.

The candidate will own AI application architecture, agentic workflows, RAG systems, model integrations, and production engineering.

This role requires a combination of strong hands-on engineering capability and technical ownership.

The candidate will work closely with architects, product teams, data teams, security teams, and engineering stakeholders to build scalable AI solutions.

Key Responsibilities :AI Solution Design :

• Translate business requirements into scalable GenAI and Agentic AI solutions.

• Design production architectures for LLM-powered applications.

• Select appropriate models, frameworks, retrieval strategies, and deployment approaches.

• Define reusable patterns for enterprise AI application development.

• Evaluate technical trade-offs between different AI architectures and technologies.

Agentic AI Architecture :

• Design multi-agent and multi-step agent workflows for complex enterprise processes.

• Implement tool-calling architectures and AI workflows integrating multiple enterprise systems.

• Design agent memory, context management, orchestration, and state-handling mechanisms.

• Establish controls for agent reliability, failure handling, and deterministic workflow execution.

• Build reusable agent frameworks and components.

RAG & Knowledge Systems :

• Design scalable RAG architectures for enterprise knowledge systems.

• Optimize document ingestion, chunking, embeddings, retrieval, reranking, and context construction.

• Work with vector databases and hybrid search technologies.

• Define strategies for improving retrieval accuracy and response quality.

• Design evaluation frameworks for RAG and LLM-based applications.

LLM Engineering :

• Integrate and evaluate multiple LLM providers and models.

• Design prompt engineering and structured-output strategies.

• Implement model routing, fallback mechanisms, and inference optimization.

• Work with Azure OpenAI and other enterprise model platforms.

• Contribute to model evaluation, fine-tuning, quantization, or optimization initiatives where appropriate.

Production Engineering :