OverviewIn 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 / Beneficiosremote work option bonus eligibility stock options comprehensive benefits full-time role competitive pay range

ResponsabilidadesLead 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 principales5+ 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 - Agilent Technologies (Barcelona)
🏢 Agilent Technologies
📍 Barcelona