- Lead complex end-to-end deployments in production at strategic customers.

- Lead the discovery, design, development, and deployment of high-impact AI / GenAI-powered solutions in close collaboration with client stakeholders.

- Build LLM-driven applications, RAG systems, and agentic workflows that demonstrate measurable business value.

- Drive innovation by creating reusable accelerators, frameworks, and reference implementations for enterprise GenAI deployments.

- Enable rapid experimentation and large-scale adoption of AI, data, and cloud platforms through hands-on engineering leadership.

Key Responsibilities

- Partner with client business and engineering teams to translate complex problems into executable GenAI solutions.

- Own solution delivery endtoend, from discovery and architecture through production deployment.





- Act as a trusted technical advisor to senior and executive client stakeholders.

- Design and build LLMpowered applications, including copilots, assistants, RAG systems, and agentic workflows.

- Integrate GenAI solutions with enterprise data platforms, APIs, and external systems.

- Optimize solutions across latency, cost, accuracy, scalability, security, and compliance.

- Convert PoCs into productiongrade, enterpriseready platforms through rapid iteration and feedback.

- Architect scalable, reliable, and observable systems using cloudnative patterns.

- Develop reusable accelerators, reference architectures, and best practices for enterprise GenAI adoption.

📌 Forward Deployed Software Engineer (Bengaluru)
🏢 EY
📍 Bengaluru