Overview
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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 / Ventajas
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 xqbhyrx
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