Experteer Overview
In this role you lead the AI Engineering u0026amp; 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
• Lead and develop the AI Engineering u0026 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