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.

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📌 Forward Deployed Software Engineer Hyderabad (India)
🏢 EY
📍 India