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Keysight Technologies, Inc.

Agentic Systems Architect

Posted a day ago
10+ years experience
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AI Summary

You will architect and build multi-step, tool-using AI agent systems that run reliably in production while maintaining a hands-on role as a full-stack engineer. Responsibilities include designing agentic architectures, building backends and UIs, and integrating RAG and enterprise APIs into agent workflows.

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.

Qualifications


 

Required qualifications

  • 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.

Preferred

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

 

 

 

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

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