ABOUT:

Build and ship the GenAI/agentic solution end-to-end — from PoC through production go-live.

KEY RESPONSIBILITIES

- Own end-to-end build of the GenAI/agentic solution once scoped — architecture through implementation
- Integrate the solution into the client's live workplace — auth, data access, existing systems, legacy interfaces
- Adapt the build on-site as real usage surfaces edge cases the original design didn't anticipate
- Debug and resolve production issues directly within the client's infrastructure
- Set up monitoring and handoff documentation for the client's own team
- Serve as the primary technical point of contact for the client during delivery
- Head the delivery pod for GenAI/agentic engagements when appropriate
- Flex into presales support when pursuit volume outpaces Hub capacity
- Feed build learnings back into the practice's estimation and pattern library
- Manage client expectations under shifting scope or timeline pressure

REQUIREMENTS & SKILLS

- 10–15+ yrs shipping production software, with hands-on GenAI/LLM/agentic build experience




- Full-stack range across the GenAI application layer — orchestration, retrieval, integration, deployment
- Comfortable debugging across the stack: infra, application code, model behavior
- Experience integrating with enterprise systems (SSO, legacy APIs, data governance constraints)
- Working knowledge of major agentic/GenAI platforms likely in the client's environment — Microsoft Azure AI Foundry, AWS Bedrock/Strands Agents, and Google Vertex AI; comfortable with open-source alternatives (LangChain, LlamaIndex) as a good-to-have when the client has no platform preference
- Comfortable being the senior technical presence in the room with a client's engineering team
- Strong client-facing communication — explains technical tradeoffs under time pressure
- Track record of taking ambiguous, partially specified designs to a working production system
- Resilient under the pressure of on-site, client-facing delivery with visible deadlines
- Prior forward-deployed, startup, or embedded-consulting experience is a strong plus

📌 Principal Forward Deployed Engineer (India)
🏢 Systems
📍 India