Member of Technical Staff, Agentic AI Architect

Description

The company makes memory and storage products. Its Smart Manufacturing and AI team is hiring a Member of Technical Staff (MTS) engineer.

The role joins applied agentic AI engineering with production systems work. You design AI agents and the data pipelines behind them, then ship them.

The aim is measurable manufacturing impact from large data sets and heavy compute, with work that reaches silicon production.

You will work alongside data scientists, data engineers and expert users.

The team suits people who enjoy hard, large-scale problems and who turn research prototypes into production systems.

Responsibilities

• Build autonomous agents that reason across several steps, plan, and run tools to automate complex manufacturing workflows.
• Wire agentic frameworks so LLMs can interact with internal APIs, databases and software tools.
• Build and maintain evaluation harnesses that measure agent accuracy, reliability and task success on multi-step workflows.
• Profile agent and inference workloads, such as tool-call latency and multi-agent orchestration, using tools like PyTorch Profiler, LangSmith and OpenTelemetry, then remove compute and latency bottlenecks.
• Build interoperable multi-agent systems using the Agent-to-Agent (A2A) protocol and the Model Context Protocol (MCP), including MCP tools, plugins and skills.
• Create and maintain CI/CD pipelines that deploy AI agents to Kubernetes and containerized cloud environments.
• Add security controls to agents, including sandboxing, access control, and defenses against prompt injection and tool misuse.
• Mentor engineers on agentic system design and optimization techniques.

Requirements

• A technical degree, bachelor's or master's, in computer science, statistics or a related field is required.
• Preferred: a Ph.D.
• Hands-on experience optimizing inference engines such as vLLM or TensorRT-LLM for agent and LLM workloads.
• Experience building GenAI applications and AI agents with one or more frameworks.
• Working knowledge of LLMs, including prompt engineering, function calling and tool use, and chain-of-thought reasoning.
• Experience designing RAG pipelines covering document ingestion, chunking, embeddings and vector search.
• Experience building and running end-to-end systems that automatically test, evaluate and deploy AI agents.
• Familiarity with MCP tools, plugins and skills, and with the A2A protocol for interoperable multi-agent systems.
• Understanding of agent security, including sandboxing, access control, and mitigating prompt injection and tool misuse.
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow or scikit-learn.
• Strong scripting and programming skills, software development experience, and interest in working in the cloud.
• 8+ years of relevant industry experience in large-scale data or ML pipelines and/or production agentic AI systems.
• Excellent analytical, interpersonal, spoken and written communication skills.
• Ability to prioritize and meet critical deadlines in a quick-moving environment.
• Experience with Kubernetes for orchestrating containers, including deploying and scaling agent workloads.
• Preferred: experience with Microsoft Agent Framework or Google Agent Development Kit.
• Preferred: experience designing and coordinating multi-agent systems with specialized agents.
• Preferred: experience designing and operating agent swarms for distributed, parallel task execution.
• Preferred: experience with agent profiling and evaluation tooling that finds regressions and bottlenecks across agent pipelines.
• Preferred: hands-on experience with LangChain, LangGraph or CrewAI.
• Preferred: proficiency in TypeScript and/or Rust.
• Preferred: experience turning data science prototypes into production solutions.
• Preferred: knowledge of computer vision and/or signal processing, including classification and feature extraction.

Conditions

Information about your right to work is available through a link in the posting.

The company does not use child labor, follows applicable labor laws, and charges candidates no recruitment fees.

Benefits

• Medical, dental and vision plans, with a choice of plans in all locations.
• Income protection if you cannot work due to illness or injury.
• Paid family leave.
• Paid time off and paid holidays.
• A benefits guide with full details of the programs is available on the company careers site.