AI R&D Engineer (SDLC Acceleration)

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.   We have an opportunity for AI R&D Engineer for SDLC Acceleration :     D esign, build, and integrate AI‑powered applications and services that accelerate software delivery and developer experience.   T urn problem statements into production‑grade solutions (LLM‑assisted features, RAG/agent workflows, AI‑augmented test automation) - ensure secure, compliant use of AI across the SDLC .   Enable Agentic worklows: Use commercial AI tooling for inducting Agentic AI into Keysight’s Software Engine ering and R&D functions .

AI Application Development    Partner with IT to drive delivery of new feature s to internal function s to accelerate SDLC phases.   Combine classical ML, retrieval/agent patterns and leverage LLM capabilities to deliver robust APIs, microservices, and frontends.   Create “golden‑path” reference components for common scenarios (code assistance , documentation summarization, knowledge search, test plan generation).    Demonstrate and produce agentic workflows for security scanning, remediation , and pipeline automation .   Platform & Integration   Integrate solutions for central tools ( Jira , Bitbucket, C onfluence, Docker, Kubernetes, Jenkins, VMware, Cloud B ees CI/CD etc .) .   Collaborate with Secure Software Factory (SSF) and Product Security Applications teams to fold AI features into standard SDLC workflows.   Engineering Intelligence & Telemetry (SEI)   Help set up telemetry endpoints and b uild dashboards/reports that gather adoption and utilization data and capture real - time value benefits of AI tools .   Quality, Test & Reliability   Design test strategies for AI features (unit, integration, adversarial, model‑in‑the‑loop); apply Human and AI‑assisted testing and demonstrate self‑healing approaches where suitable.     Security, Privacy & Compliance   Translate corporate AI governance into developer - friendly approaches: data handling, prompt safety, model access tiers, applying vendor usage rules.     Collaboration & Enablement   Partner with guilds/forums (NPC, enablement sessions) to share best practices, reusable assets, and developer training content.   C oordinat e on releases with IT to ensure new feature s are tested and enabled for Keysight’s Software Engineer ing community .

Education   Bachelor’s or master's in computer science , e lectrical / e lectronic e ngineering , or related field; advanced ML/AI coursework or certifications preferred.     Must Have   Experience: 4-8 years in Computer / Software engineering (backend/frontend) with hands‑on AI/ML application development or integration; internships/projects count toward demonstrable capability .   Programming: Proficiency in Python and C#/Jav aScript/TypeScript ; strong API design (REST/ GraphQL ), microservices.   AI/ML: Practical experience with LLM tooling (prompting, evaluation, safety), RAG (embeddings/vector stores), and at least one framework ( PyTorch , TensorFlow ).   Cloud & DevOps: Experience on Azure (preferred) or AWS CI/CD, containers (Docker/K8s), observability (logs/metrics/traces).   Toolchain: Bitbucket, GitHub, Jira/Confluence, Artifactory, Microsoft 365; familiarity with GitHub Copilot and M365 Copilot