Note: The job is a remote job and is open to candidates in USA. Agilent Technologies is seeking a Lead in AI Engineering & SDLC Automation to define and lead their AI-enabled engineering automation strategy. The role involves leading a team to enhance developer productivity and software delivery through AI-assisted engineering capabilities and workflow automation.

Responsibilities

• Lead and develop the AI Engineering & Automation team responsible for AI-assisted SDLC automation, developer workflow integration, and engineering productivity tooling
• Define team priorities, resource needs, operating cadence, performance expectations, and execution plans
• Own the roadmap for AI-enabled engineering automation across PSD, from tool selection and integration to adoption, measurement, and continuous improvement
• Deliver AI-assisted engineering tools, agentic workflows, copilots, and workflow automation with measurable productivity uplift
• Integrate AI automation into CI/CD pipelines, developer paved roads, engineering workflows, and platform services
• Establish governance, safety guardrails, evaluation criteria, usage standards, and secure integration patterns for responsible AI adoption in engineering workflows
• Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation into software delivery practices
• Prioritize AI automation investments based on productivity uplift, developer experience, quality, reliability, security, cost, and platform strategy
• Drive cross-organization adoption through enablement, documentation, training, feedback loops, and measurable adoption plans
• Resolve conflicting priorities across engineering 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

Skills

• Typically 5+ years of experience formally or informally leading people, projects, and/or programs
• Bachelor's or Master's degree or equivalent experience
• Strong background in AI-enabled engineering, platform engineering, DevOps, developer productivity, workflow automation, or SDLC automation
• Experience leading teams, programs, or cross-functional initiatives in complex software engineering environments
• Experience translating organizational strategy into roadmaps, execution plans, governance models, and measurable outcomes
• Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation, or agentic workflow automation
• Strong understanding of CI/CD, SDLC tooling, developer workflows, engineering productivity tooling, and secure integration patterns
• Understanding of responsible AI adoption, AI governance, usage controls, safety guardrails, and secure deployment patterns
• Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform organizations
• Experience driving adoption, enablement, and behavior change across distributed engineering teams
• Ability to balance speed, productivity, quality, reliability, security, cost, and responsible AI use
• Strong analytical and communication skills, with the ability to translate productivity and adoption insights into practical roadmap decisions

Benefits

• Plus eligibility for bonus
• Plus eligibility for stock
• Plus eligibility for benefits
• Option to work remotely

Company Overview

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