Overview In this role you lead the AI Engineering & Automation function within the Productivity Solutions Division to embed AI-powered automation in engineering workflows. You shape the strategy, roadmap, and governance for AI-enabled SDLC automation and developer tooling. You collaborate across DevSecOps, Security, QE, IT, and engineering teams to scale safe, reliable AI-driven software delivery. You will drive measurable productivity gains and adoption, balancing speed with quality and security. This is a high-impact leadership opportunity to redefine engineering automation at scale. Compensaciones / Incentivos * remote work option * bonus eligibility * stock options * comprehensive benefits * full-time role * competitive pay range Responsabilidades * Lead and develop the AI Engineering & Automation team for AI-assisted SDLC automation and productivity tooling * Define priorities, staffing, cadence, and performance expectations * Own the PSD-wide roadmap for AI-enabled engineering automation, including measurement and improvement * Deliver AI-assisted tooling, agentic workflows, copilots, and automated processes with productivity uplift * Integrate AI automation into CI/CD, developer workflows, and platform services * Establish governance, safety guardrails, usage standards, and secure integration patterns for responsible AI in engineering * Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation * Prioritize AI automation investments based on productivity, quality, reliability, security, cost,



and platform strategy * Drive cross-organizational adoption via enablement, documentation, training, and measurable adoption plans * Resolve conflicting priorities across productivity, security, reliability, cost, and responsible AI adoption * Define and track success measures for AI-enabled engineering automation including productivity, adoption, toil reduction, quality, reliability, and developer experience Requisitos principales * 5+ years leading people, projects, or programs * Bachelor’s or Master’s degree or equivalent experience * Strong background in AI-enabled engineering, platform engineering, DevOps, or SDLC automation * Experience leading cross-functional initiatives in complex software environments * Experience translating strategy into roadmaps, governance, and outcomes * Experience with AI agents, copilots, ML-driven automation, or agentic workflow automation * Strong understanding of CI/CD, SDLC tooling, and secure integration patterns * Knowledge of responsible AI adoption, governance, and secure deployment patterns * Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform * Experience driving adoption, enablement, and behavior change across distributed teams * Ability to balance speed with quality, reliability, security, and cost * Strong analytical and communication skills to translate insights into roadmap decisions * influencing and stakeholder management * strategic thinking * cross-functional collaboration * AI-enabled engineering * SDLC automation * DevOps and platform engineering

📌 Lead, AI Engineering & SDLC Automation (Barcelona)
🏢 Agilent Technologies
📍 Barcelona