Member of Technical Staff, Agentic AI Architect

Micron Technology • Boise, ID

1d

About The Position

Micron Technology is seeking an ambitious engineer (Member of Technical Staff | MTS) to join their Smart Manufacturing and AI team. This role focuses on delivering industry-leading Agentic AI solutions to enhance Micron’s position in the memory solutions market. The position involves architecting autonomous AI Agents and their associated data pipelines, building CI/CD deployment paths for Kubernetes and containers, and optimizing agent performance. The ideal candidate will have experience in data/cloud technologies and systems engineering, with a strong background in data modeling, querying, and deploying scalable pipelines for AI agents. Collaboration with Data Scientists, Data Engineers, and expert users is key to building and deploying these solutions that derive value from Micron’s manufacturing processes. This role is for individuals who enjoy solving complex problems at scale, transforming research into production systems, and seeing their work impact product delivery.

Requirements

• 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. Microsoft Agent Framework or Google Agent Development Kit preferred.
• 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.

Nice To Haves

• Ph.D. is a plus.
• 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.

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.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level