[Remote] Member of Technical Staff, Agentic AI Architect
Note: The job is a remote job and is open to candidates in USA. Micron Technology is hiring a Member of Technical Staff, Agentic AI Architect, for its Smart Manufacturing and AI team. The role architects, builds, evaluates, secures, and deploys production-grade autonomous AI agents and agentic data pipelines to automate manufacturing workflows and deliver manufacturing insights.
Responsibilities
- Design and develop autonomous AI Agents capable of multi-step reasoning, planning, and tool execution to automate complex manufacturing workflows
- Implement Agentic frameworks to orchestrate LLM interactions with internal APIs, databases, and software tools
- Build and maintain agent evaluation harnesses to benchmark agent accuracy, reliability, and task success across complex, multi-step workflows
- Analyze and profile agent and inference workloads (e.g., tool-calling latency, multi-agent orchestration) to identify and resolve bottlenecks in compute and latency, using agent observability and profiling tools (e.g., PyTorch Profiler, LangSmith, OpenTelemetry)
- Implement interoperable multi-agent systems using the Agent-to-Agent (A2A) protocol and the Model Context Protocol (MCP), including MCP tools, plugins, and skills
- Create/maintain CI/CD pipelines for deploying AI Agents to Kubernetes and containerized environments in the cloud
- Design and implement security controls for autonomous AI Agents, including sandboxing, access control, and mitigation of prompt-injection and tool-misuse risks
- Mentor engineers on agentic system design paradigms and optimization techniques
Skills
- Technical Degree required (Bachelor's or Master's in Computer Science, Statistics, or a related field)
- Experience optimizing inference engines (vLLM, TensorRT-LLM) for autonomous AI Agent and LLM workloads
- Experience developing GenAI applications and AI Agents using one or more frameworks
- Proficiency with Large Language Models (LLMs), including prompt engineering, function calling/tool use, and Chain-of-Thought (CoT) reasoning
- Experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, and vector search
- Experience building and operating end-to-end systems that automate the testing, evaluation, and deployment of autonomous AI Agents
- Familiarity with MCP (Model Context Protocol) tools, plugins, and skills, and the Agent-to-Agent (A2A) protocol for building interoperable multi-agent systems
- Understanding of AI Agent security practices, including sandboxing, access control, and mitigating prompt-injection and tool-misuse risks
- Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn, etc)
- Strong scripting and programming skills, with software development skills and a desire to work in a cloud environment
- 8+ years of relevant industry experience, spanning large-scale data/ML pipelines and/or production Agentic AI systems
- Outstanding analytical thinking, interpersonal, oral, and written communication skills
- Ability to prioritize and meet critical project timelines in a fast-paced environment
- Experience with Kubernetes for orchestrating containerized applications, including deployment and scaling of AI Agent workloads
- Ph.D. is a plus
- Microsoft Agent Framework or Google Agent Development Kit preferred
- Experience designing and coordinating Multi-Agent Systems, including collaboration between specialized agents
- Experience designing and operating agent swarms for distributed, parallelized task execution
- Experience with agent profiling and evaluation tooling to identify performance regressions and bottlenecks across agent pipelines
- Hands-on experience with LangChain, LangGraph, or CrewAI
- Proficiency in TypeScript and/or Rust
- Demonstrated ability to study and transform data science prototypes into production solutions
- Knowledge of computer vision and/or signal processing, including techniques for classification and feature extraction
Benefits
- Choice of medical, dental, and vision plans in all locations, allowing team members to select plans that best meet their family healthcare needs and budget
- Benefit programs that help protect income if unable to work due to illness or injury
- Paid family leave
- Robust paid time-off program
- Paid holidays
- Remote work in Idaho, United States
Company Overview
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