ph3About Keysight AI Labs /h3 pKeysight’s AI Labs is a global RD group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems—from 6G and semiconductors to quantum and automotive—by embedding AI throughout our workflows. /p h3About the Team /h3 pJoin Keysight’s central AI Hub in the heart of Barcelona. Software and AI Labs (SAL) drives innovation across Keysight’s global software engineering organization. The team focuses on accelerating developer productivity, modernizing engineering workflows, and ensuring secure, compliant adoption of emerging AI technologies. /p h3About the Role /h3 pThis role sits at the intersection of AI, software engineering, and enterprise transformation. /p pAs a Senior Applied AI Engineer, you will design and implement AI‑driven solutions that modernize and accelerate Keysight’s Secure Software Development Lifecycle (SDLC). You will evaluate emerging AI technologies (LLMs, RAG, agentic systems), translate governance into practical engineering standards, and build reference architectures that can scale across global engineering teams. Your impact will directly influence developer productivity, engineering quality, and responsible AI adoption across the enterprise. /p h3Responsibilities /h3 ul liLead technical evaluations and enterprise rollouts of AI tools and platforms. /li liDesign reusable solution patterns (prompt libraries, RAG architectures, agent workflows) to improve coding, testing, documentation, and planning. /li liDevelop reference implementations (“golden paths”) integrating AI into DevSecOps toolchains. /li liEvaluate emerging AI paradigms (e.g., MCP, agentic frameworks) and guide safe adoption. /li liArchitect end‑to‑end AI solutions spanning cloud, on‑prem,



and hybrid environments. /li liOptimize AI integrations for performance, cost efficiency, and developer experience. /li liCollaborate with engineering and DevSecOps teams to embed AI into CI/CD, testing, and release processes. /li liTranslate corporate AI governance into practical engineering guardrails. /li liAlign AI practices with ISO/IEC 42001, NIST AI RMF, SOC2, and OWASP API Security principles. /li liImplement secure data handling, model access control, and vendor usage standards. /li /ul h3Stakeholder Program Leadership /h3 ul liEngage engineering leaders and IT stakeholders to drive adoption programs. /li liManage vendor evaluations, pilots, and compliance alignment. /li liProvide executive‑level updates on AI adoption impact, productivity gains, and risks. /li /ul h3Required Qualifications /h3 ul liBachelor’s or Master’s degree in Computer Science, Engineering, or related field. /li li5–10+ years of experience in software engineering. /li liHands‑on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real‑world engineering workflows. /li liExperience integrating AI into DevSecOps environments and CI/CD toolchains. /li liWorking knowledge of secure software development practices and practical security controls. /li liStrong communication skills with experience influencing cross‑functional teams. /li /ul h3Desired Qualifications /h3 ul liExperience defining enterprise engineering KPIs and productivity metrics. /li liExposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks. /li liExperience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases). /li liPrior experience driving enterprise AI enablement programs. /li liExperience working in large, general engineering organizations. /li /ul pCareers Privacy Statement: Keysight is an Equal Opportunity Employer. /p /p #J-18808-Ljbffr

📌 Senior Applied AI Engineer – Developer Productivity & SDLC (Barcelona)
🏢 Keysight Technologies
📍 Barcelona