Senior Agentic AI Lead Engineer

Job Title:

Senior AI Agentic Lead Location:

Fremont, CA(HYbrid, 3 days in a week onsite) Full-Time About the Role We are looking for a Senior AI Agentic Lead to drive one of our most strategic client engagements

• building and deploying agentic workflows at scale within a large, complex network engineering environment. You will be the on-site technical anchor, working directly with the client''''s engineering and program management teams, while leading and mentoring a global development team. This is a hands-on leadership role
• you will both build and lead.

We are not looking for someone who only directs; you need to be in the code. What You''''ll Do Serve as the primary technical point of contact for the client, embedded on-site or hybrid Design, build, and deploy AI agent workflows across engineering and program coordination use cases Get trained on client-specific tools and processes, then cascade that knowledge to the India team Lead sprint-based delivery across a distributed team

• setting technical standards, reviewing outputs, and unblocking issues Collaborate with the client''''s stakeholders to define scope, validate agent outputs, and iterate quickly Work closely with the Tech Principal and ENS domain leads to incorporate tooling and workflow expertise into agent design Identify automation opportunities and translate them into well-scoped, executable agent implementations What We''''re Looking For 10+ years of software engineering experience, with 2-3 years focused on AI/LLM-based systems Must be hands-on•actively building, coding, and deploying, not just directing Proven experience designing and building agentic systems•multi-step reasoning, tool use, memory, and orchestration Strong proficiency with Claude (Anthropic API / Claude Agent SDK) and familiarity with other LLM frameworks Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar Proficiency in Python; comfort with APIs, data pipelines, and workflow automation Proven ability to work directly with enterprise clients•translating ambiguous requirements into working systems Experience leading or mentoring distributed engineering teams Strong communication skills•equally comfortable in a technical whiteboard session and a stakeholder update