Principal AI Engineer; Software & AI Labs
Job in
Colorado Springs, El Paso County, Colorado, 80509, USA
Listed on 2026-06-26
Listing for:
Keysight Technologies
Full Time
position Listed on 2026-06-26
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 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.
Candidate Responsibilities- Guiding safe adoption of AI Tools and applications.
- Benchmarking commercial models and industry patterns for software engineering and guiding SAL to make the right decisions for Keysight’s engineering teams.
- Developing Agentic/RAG solutions for developer workflows and Dev Sec Ops Processes with an objective to radically evolve Keysight’s SDLC.
- Using data‑driven indicators from Software Engineering Intelligence (SEI) platform to help SAL codify best practices and quantify AI’s impacts on Keysight’s development velocity.
- Driving enablement via enterprise forums/guilds and playbooks to scale AI across teams.
- Ensuring policy‑aligned, secure, and compliant AI usage across SDLC (e.g., ISO/IEC 42001, NIST AI RMF, SOC2, OWASP API Security).
To be successful, the role requires an engineering mindset to manage, design, and execute on the following 4 pillars:
AI‑led Productivity & SDLC Acceleration- Lead technical evaluations and rollouts of AI tools for the enterprise and work with partners to define adoption of roadmaps and guardrails.
- Design high‑impact solution patterns (prompt libraries, RAG architectures, agent workflows) for planning, coding, testing, documentation – with a goal to improve productivity.
- Build reference implementations and “golden paths” that integrate AI with SSF tool chains.
- Evaluate upcoming AI technology concepts (MCP, Agentic AI) and guide Software Engineering teams to safe adoption.
- Architect end‑to‑end AI solutions that bridge or span on‑prem, cloud, or VPC resources; optimize solutions for faster cadence, lower cost, and greater developer experience.
- Partner with Central Engineering team to embed AI into planning, testing, documentation, CI/CD, and release processes.
- Translate corporate AI governance into developer‑friendly approaches: data handling, prompt safety, model access tiers, and vendor usage rules.
- Align practices broadly to concepts as defined in ISO/IEC 42001 (AI management systems), NIST AI RMF, SOC 2 controls, and OWASP API Security within SAL’s Secure Software Factory (SSF) context.
- Evaluate and manage vendor relationships, set up pilot partnering with businesses and IT, benchmarking, and compliance obligations.
- Engage with engineering leaders, IT, and adjacent business units to coordinate rollouts and validation sessions.
- Provide concise executive updates and decision briefs on adoption, impact, and risks.
Education
- Bachelor’s or master’s in computer science, electrical/electronic engineering, or related field; advanced ML/AI coursework or certifications preferred.
Must Have
- Experience:
8–12 years in Software engineering with either academic degree or interest in AI/ML, with experience in applying modern AI capabilities (LLMs, RAG, agents) to developer workflows at scale.
OR
- 5–8 years in software engineering with demonstrated experience in applying modern AI capabilities (LLMs, RAG, agents) to developer workflows at scale.
- Technical depth, functional experience in one or more of the following:
- LLMs & orchestration (prompting, tooling, evaluation, safety); agent frameworks; retrieval pipelines.
- Toolchain fluency:
Dev Sec Ops tools. - Neural Networks, Machine learning, MLOps.
- Data engineering for AI use cases (extract‑transform‑Load (ETL); embeddings, vector stores), and ML Ops practices.
- Security & compliance:
Working knowledge of Security; experience in implementing practical security controls for developer teams. - Communication & leadership:
Strong ability to drive change, run enablement programs, and influence stakeholders across global teams.
This position requires the ability to obtain and maintain a U.S. government security clearance…
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