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Senior Agentic AI Lead Engineer

Hybrid in Fremont, CA, US • Posted 7 hours ago • Updated 7 hours ago

Full Time

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

LangChain
Agentic AI
Python
Artificial Intelligence
LangGraph

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91133974
Position Id: 8970105
Posted 7 hours ago

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Senior Agentic AI Lead Engineer

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