Agentic Systems Architect

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

You will architect and build multi-step, tool-using AI agent systems that run reliably in production, while staying hands-on as a full-stack engineer.

Responsibilities

• Design agentic architectures: planning, tool use, memory, multi-agent orchestration and human-in-the-loop controls.
• Build agent backends and UIs with Python, Django and React; deploy on AWS.
• Integrate RAG, function/tool calling and enterprise APIs into agent workflows.
• Define evaluation, tracing, safety guardrails and cost/latency controls for agents.
• Work with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI or AutoGen, and protocols such as MCP.
• Mentor engineers and set patterns for agent development across teams.
  
  

• 7+ years of software engineering experience, with architecture ownership.
• Strong Python, Django and React; solid AWS experience.
• AI experience is required: LLMs, RAG, vector databases, prompt engineering, and hands-on experience building agentic or multi-agent systems.
• Strong distributed systems, async/event-driven design and API skills.
• Experience evaluating and monitoring non-deterministic AI systems in production.
  
  

• AWS Bedrock Agents, fine-tuning, Docker/Kubernetes, and published or open-source work in agentic AI.