{"id":2256848,"url":"https://alion.io/job/keysight-senior-applied-ai-engineer-developer-productivity-sdlc","title":"Senior Applied AI Engineer – Developer Productivity & SDLC","company":{"id":53596,"name":"Keysight","domain":"keysight.com","url":"https://alion.io/company/keysight","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":120,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":155000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"RAG","optional":false},{"name":"SOC 2","optional":false}],"status":"live","first_seen_at":"2026-02-09T11:42:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T10:57:18Z","board_verified":true,"closed_at":null,"days_open":244,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":244},"description":"OverviewKeysight 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.\nOur 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.\nAbout the Team\nSoftware 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.\nYou will join a cross-functional group working closely with Engineering, DevSecOps, IT, and Architecture teams worldwide. The culture is experimental, impact-driven, and focused on safe, scalable AI enablement across enterprise software development.\nAbout the Role\nThis role sits at the intersection of AI, software engineering, and enterprise transformation.\nAs 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.\nYour impact will directly influence developer productivity, engineering quality, and responsible AI adoption across the enterprise.\nResponsibilities\nAI-Led Productivity & SDLC Acceleration\nLead technical evaluations and enterprise rollouts of AI tools and platforms.\n\nDesign reusable solution patterns (prompt libraries, RAG architectures, agent workflows) to improve coding, testing, documentation, and planning.\n\nDevelop reference implementations (“golden paths”) integrating AI into DevSecOps toolchains.\n\nEvaluate emerging AI paradigms (e.g., MCP, agentic frameworks) and guide safe adoption.\n\nArchitecture & Integration\nArchitect end-to-end AI solutions spanning cloud, on-prem, and hybrid environments.\n\nOptimize AI integrations for performance, cost efficiency, and developer experience.\n\nCollaborate with engineering and DevSecOps teams to embed AI into CI/CD, testing, and release processes.\n\nGovernance, Risk & Compliance\nTranslate corporate AI governance into practical engineering guardrails.\n\nAlign AI practices with ISO/IEC 42001, NIST AI RMF, SOC2, and OWASP API Security principles.\n\nImplement secure data handling, model access control, and vendor usage standards.\n\nStakeholder & Program Leadership\nEngage engineering leaders and IT stakeholders to drive adoption programs.\n\nManage vendor evaluations, pilots, and compliance alignment.\n\nProvide executive-level updates on AI adoption impact, productivity gains, and risks.\n\nQualifications\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n\n5-10+ years of experience in software engineering.\n\nHands-on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real-world engineering workflows.\n\nExperience integrating AI into DevSecOps environments and CI/CD toolchains.\n\nWorking knowledge of secure software development practices and practical security controls.\n\nStrong communication skills with experience influencing cross-functional teams.\n\nDesired Qualifications\nExperience defining enterprise engineering KPIs and productivity metrics.\n\nExposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks.\n\nExperience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases).\n\nPrior experience driving enterprise AI enablement programs.\n\nExperience working in large, global engineering organizations.\n\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***\nAI-Led Productivity & SDLC Acceleration\nLead technical evaluations and enterprise rollouts of AI tools and platforms.\n\nDesign reusable solution patterns (prompt libraries, RAG architectures, agent workflows) to improve coding, testing, documentation, and planning.\n\nDevelop reference implementations (“golden paths”) integrating AI into DevSecOps toolchains.\n\nEvaluate emerging AI paradigms (e.g., MCP, agentic frameworks) and guide safe adoption.\n\nArchitecture & Integration\nArchitect end-to-end AI solutions spanning cloud, on-prem, and hybrid environments.\n\nOptimize AI integrations for performance, cost efficiency, and developer experience.\n\nCollaborate with engineering and DevSecOps teams to embed AI into CI/CD, testing, and release processes.\n\nGovernance, Risk & Compliance\nTranslate corporate AI governance into practical engineering guardrails.\n\nAlign AI practices with ISO/IEC 42001, NIST AI RMF, SOC2, and OWASP API Security principles.\n\nImplement secure data handling, model access control, and vendor usage standards.\n\nStakeholder & Program Leadership\nEngage engineering leaders and IT stakeholders to drive adoption programs.\n\nManage vendor evaluations, pilots, and compliance alignment.\n\nProvide executive-level updates on AI adoption impact, productivity gains, and risks.\n\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Engineering, or related field.\n\n5-10+ years of experience in software engineering.\n\nHands-on experience applying modern AI technologies (LLMs, RAG, agent frameworks) to real-world engineering workflows.\n\nExperience integrating AI into DevSecOps environments and CI/CD toolchains.\n\nWorking knowledge of secure software development practices and practical security controls.\n\nStrong communication skills with experience influencing cross-functional teams.\n\nDesired Qualifications\nExperience defining enterprise engineering KPIs and productivity metrics.\n\nExposure to ISO/IEC 42001, NIST AI RMF, SOC2, or similar compliance frameworks.\n\nExperience with MLOps pipelines and data engineering for AI (ETL, embeddings, vector databases).\n\nPrior experience driving enterprise AI enablement programs.\n\nExperience working in large, global engineering organizations.\n\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***","description_format":"text","description_chars":6493,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Simulation & Digital Twin Software","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-11T04:06:06Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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