Experteer Overview In this role you lead the AI Engineering uamp; 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 / Ventajas • Lead and develop the AI Engineering u 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 Responsabilidades • 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 Requisitos principales • remote work option • bonus eligibility • stock options • comprehensive benefits • full-time role • competitive pay range

📌 Lead, Ai Engineering & Sdlc Automation (Barcelona)
🏢 Agilent Technologies
📍 Barcelona