Principal AI Engineer (Software & AI Labs)

Keysightis 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 moreabout 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.

Software and AI Labs (SAL) at Keysight hasan opportunity for an experiencedengineeringindividualto join our team.

Candidate willbe responsible forthe following:

• Guidingsafe adoption ofAITools and applications.
• Benchmarking commercial models and industry patternsfor software engineering and guiding SAL to make the right decisionsfor Keysight's engineering teams.
• DevelopingAgentic/RAG solutions for developer workflows and DevSecOps Processeswithan objective toradically evolve Keysight's SDLC.
• Usingdata-driven indicators fromSoftwareEngineering Intelligence (SEI)platformtohelp SALcodify best practices and quantifyAI'simpactson Keysight's development velocity.
• Driving enablement viaenterpriseforums/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).
• You will be a part of an agile and innovativeteam that believes in experimentation and championing of safe AI use for tacklingsoftware development process bottlenecks.

To be successful, therole requires an engineering mindset to manage, design,and execute on the following 4 pillars:

AI-ledProductivity & SDLC Acceleration

• Lead technical evaluations and rollouts of AI tools fortheenterprise andwork 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 integrateAIwithSSFtoolchains.
• Evaluate upcoming AItechnology concepts (MCP, Agentic AI) and guide Software Engineering teams to safe adoption.

Architecture & Integration

• Architect end-to-end AI solutions that bridge or span on-prem, cloud,or VPC resources;optimizesolutions for faster cadence, lower cost, and greater developer experience.
• Partner withCentralEngineeringteamto embed AI intoplanning,testing, documentation, CI/CD,and release processes.

Governance, Risk & Compliance

• Translate corporate AI governance into developer-friendly approaches: data handling, prompt safety, model access tiers, and vendor usage rules.
• Align practicesbroadly to concepts as defined inISO/IEC 42001 (AI management systems), NIST AI RMF, SOC 2 controls, and OWASP API Security within SAL's Secure Software Factory (SSF) context.

Stakeholder, Vendor & Program Management

Evaluate and manage vendor relationships, set uppilotpartnering with businesses and IT, benchmarking, and compliance obligations.

• Engagewithengineering leaders, IT, and adjacentbusiness unitstocoordinate 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/electronicengineering, or related field; advanced ML/AI coursework or certifications preferred.

Must Have

• Experience: 8-12 years inSoftware engineeringwith either academic degree or interest in AI/ML, withexperience inapplying modern AIcapabilities(LLMs, RAG, agents) to developer workflows at scale.

OR

• 5-8years insoftware engineering withdemonstratedexperience inapplying modern AIcapabilities(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:DevSecOps tools.

• Neural Networks, Machinelearning,MLOps.

• Data engineering for AI use cases (extract-transform-Load (ETL);embeddings, vector stores), and ML Ops practices.

• Security & compliance: Working knowledge of Security; experienceinimplementing practicalsecuritycontrols for developer teams.
• Communication & leadership: Strong ability to drive change, run enablement programs, and influence stakeholders across global teams.

Careers Privacy Statement

Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

The level of role and salary will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below.

California Pay Range: MIN $138,960- MAX $231,600

Note: For other locations, pay ranges will vary by region.

US Employees may be eligible for the following benefits:

- Medical, dental and vision

- Health Savings Account

- Health Care and Dependent Care Flexible Spending Accounts

- Life, Accident, Disability insurance

- Business Travel Accident and Business Travel Health

- 401(k) Plan

- Flexible Time Off, Paid Holidays

- Paid Family Leave

- Discounts, Perks

- Tuition Reimbursement

- Adoption Assistance

- ESPP (Employee Stock Purchase Plan)