Senior Manager, Agentic AI

There is energy here…energy you can feel crackling at any of our international locations. It’s an energy generated by enthusiasm for our work, for our teams, for our results, and for our customers. Lattice is a worldwide community of engineers, designers, and manufacturing operations specialists in partnership with world-class sales, marketing, and support teams, who are developing programmable logic solutions that are changing the industry. Our focus is on R&D, product innovation, and customer service, and to that focus, we bring total commitment and a keenly sharp competitive personality.Energy feeds on energy. If you flourish in a fast paced, results-oriented environment, if you want to achieve individual success within a “team first” organization, and if you believe you can contribute and succeed in a demanding yet collegial atmosphere, then Lattice may well be just what you’re looking for.

We are looking for someone to technically lead and manage a team of high caliber engineers working on Agentic AI. The team will build the next generation of EDA automation products using agentic flow. This role focuses on managing all technical aspects like designing, developing, and scaling agentic systems.

 

You will design and develop multi-agent workflows, build retrieval and knowledge systems, design guardrails and error-recovery loops, and ensure reliability, traceability, and safe execution in production.

 

This role is ideal for someone with hands-on experience shipping agentic AI systems, LLM-driven workflows, or automation engines at scale

 

Key Responsibilities

• Manage a team of engineers responsible for delivering a framework to develop AI agents
• Provide technical leadership in design, implement and optimize multi-agent frameworks (LangGraph, LlamaIndex agents, AutoGen, CrewAI).

• Define agent interfaces, policies, and error‑handling/repair strategies.
• Implement strict schema‑bound LLM calls (JSON, XML, structured tool commands).

• Implement constrained decoding, schema-bound generation, and deterministic reasoning passes.
• Build document ingestion pipelines with chunking, metadata tagging, and embeddings.

 

Required Qualifications

• 7+ years’ experience in developing large web based applications with 1+ years building LLM-powered tools
• 4+ years’ experience in managing a engineering team
• Strong experience in backend or distributed system design (gRPC/REST, microservices, queues).
• Experience building workflow engines or automation systems (Airflow, Temporal, Dagster)

• Experience building robust RAG pipelines (embedding optimization, retrieval metrics).
• Experience designing structured model interactions (JSON schema, function‑calling, tool‑use).