Job Description:We are looking for an AI Architect to design and lead the development of a large-scale Agentic AI system that automates complex engineering workflows using LLMs, VLMs, and structured reasoning. You will architect multi-agent workflows, build high-quality training datasets, fine-tune and optimize frontier models, and design the guardrails, retrieval pipelines, and evaluation frameworks required to run AI safely and reliably in production.This role is ideal for someone who excels in AI systems architecture, agent design, LLM/RAG pipelines, and model optimizationKey Responsibilities- Design multi-agent workflows with an orchestrator, specialized agents, and shared memory.
- Define agent interfaces, policies, and error-handling/repair strategies.
- Implement strict schema-bound LLM calls (JSON, XML, structured tool commands).
- Select, distill, fine-tune, and evaluate LLM/SLM/VLA models.
- Design prompt templates, adapters, LoRA modules, and controlled-generation methods.
- Build document ingestion pipelines with chunking, metadata tagging, and embeddings.
- Build domain-aware RAG systems with citation-based referencing.
- Develop multi layer guardrails using schema validation, rule based checks, and policy engines.
- Implement self critique, repair loops, and fallback strategies for model outputs.
- Build model serving pipelines (vLLM/TGI/Triton), caching, batching, and streaming.
- Implement logging, tracing, observability, and offline evaluation pipelines.
Required Qualifications- 5+ years building ML or LLM-powered products (multi-agent systems preferred).
- Experience with LLM fine-tuning (LoRA/QLoRA), distillation, and prompt engineering.
- Strong understanding of LLM internal architecture (transformers, attention, tokenization).
- Expertise in Python, PyTorch, and modern AI frameworks (HuggingFace, vLLM, LangChain).
- Experience building robust RAG pipelines (embedding optimization, retrieval metrics).
- Experience designing structured model interactions (JSON schema, function-calling, tool-use).
- Experience with embedded, hardware, or FPGA workflows-but not mandatory.
Benefits:The base pay for this role is between $260,000 to $280,000 per year. In addition to base salary, we offer an incentive plan bonus, and new hire equity for a competitive total compensation package.
Pay & BenefitsConsistent with Lattice Semiconductor values and applicable law, we provide the following information to promote pay transparency and equity. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline, and our compensation range reflects the cost of labor in the U.S. geographic market based on the location of the role. Pay within these ranges varies and depends on job-related knowledge, skills, and relevant work experience.
For candidates who receive and offer, the starting salary will vary based on various factors including, but not limited to, such qualifications as, skill level, competencies, and work location. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee.
Base Pay Range273000
In addition to base pay, this role may be eligible for variable/ incentive compensation and/ or equity. In addition, this role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, and more!
