Member of Technical Staff, Agentic AI Architect
Micron Technology1 day ago
Responsibilities
- Design and develop autonomous AI agents for multi-step reasoning, planning, tool execution, and complex manufacturing workflows.
- Implement agentic frameworks that orchestrate LLM interactions with internal APIs, databases, and software tools.
- Build agent evaluation harnesses to measure accuracy, reliability, and task success across multi-step workflows.
- Profile agent and inference workloads and resolve compute, latency, and performance bottlenecks using observability and profiling tools.
- Implement interoperable multi-agent systems using the Agent-to-Agent protocol and Model Context Protocol, including tools, plugins, and skills.
- Create and maintain CI/CD pipelines for deploying AI agents to Kubernetes and containerized cloud environments.
- Design security controls for autonomous agents, including sandboxing, access control, prompt-injection mitigation, and tool-misuse prevention.
- Mentor engineers on agentic system design and optimization techniques.
Requirements
- Bachelor’s or master’s degree in Computer Science, Statistics, or a related technical field; a Ph.D. is a plus.
- 8+ years of relevant industry experience spanning large-scale data or machine-learning pipelines and/or production Agentic AI systems.
- Experience optimizing inference engines such as vLLM and TensorRT-LLM for autonomous AI agent and LLM workloads.
- Experience developing Generative AI applications and AI agents with agent frameworks; Microsoft Agent Framework or Google Agent Development Kit is preferred.
- Proficiency with LLMs, prompt engineering, function calling, tool use, and Chain-of-Thought reasoning.
- Experience designing and implementing RAG pipelines involving document ingestion, chunking, embeddings, and vector search.
- Experience building and operating systems for testing, evaluating, and deploying autonomous AI agents.
- Familiarity with MCP tools, plugins, skills, and the A2A protocol.
- Understanding of AI agent security practices, including sandboxing, access control, and mitigation of prompt injection and tool misuse.
- Familiarity with PyTorch, TensorFlow, or scikit-learn.
- Strong scripting, programming, software development, and cloud-environment skills.
- Experience with Kubernetes for orchestrating, deploying, and scaling containerized AI agent workloads.
- Preferred experience with multi-agent systems, agent swarms, agent profiling and evaluation tooling, LangChain, LangGraph, or CrewAI.
- Proficiency in TypeScript and/or Rust is preferred.
- Experience transforming data science prototypes into production solutions is preferred.
- Knowledge of computer vision and/or signal processing, including classification and feature extraction, is preferred.
Benefits
- Medical, dental, and vision plans are available in all locations.
- Income-protection benefits and paid family leave are provided.
- Robust paid time off and paid holidays are offered.
- Micron provides benefit programs supporting personal wellbeing and professional growth.
Tech Stack
Categories
About Micron Technology
Micron Technology designs and manufactures memory and storage semiconductors—DRAM, NAND, NOR and SSDs—sold to device makers, cloud providers, and embedded/automotive markets. Founded in 1978 and headquartered in Boise, Idaho, it operates globally and sells under the Micron and Crucial brands as a public company (NASDAQ: MU). Its products support data center, AI, mobile, and PC systems, including high-bandwidth and multichip packages for performance- and space-constrained applications.