Forward Deployed Software Engineer

EY; Hyderabad, Pune District, Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

EY in Hyderabad is seeking a Senior GenAI Solutions Lead to drive end-to-end GenAI deployments for strategic clients. You will oversee architecture and production deployment, collaborating with client teams to translate complex problems into scalable AI solutions.

You will design LLM-powered applications, including copilots and RAG systems, optimize latency, cost, and security, and develop reusable accelerators and reference architectures for enterprise GenAI adoption.

Responsibilities

• 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.
• Partner with client business and engineering teams to translate complex problems into executable GenAI solutions.
• Own solution delivery endto-end, 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.

Job description

• 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.