Job description

Job Description We’re looking for a  Lead, AI Engineering & SDLC Automation  to join our Developer Experience team and provide technical leadership for Productivity Solutions Division’s (PSD) AI engineering and SDLC automation efforts. This Expert individual contributor role will focus on using AI and automation to improve how our teams build, test, secure, and deliver software. As part of Platform Engineering, you’ll help improve the development experience across PSD by bringing new capabilities and automation into the tools, platforms, and workflows our development community uses every day. This is a hands-on role that will help shape technical direction, evaluate new technologies , build solutions, and help teams adopt new tools and ways of working. Impact Your work will help PSD reduce manual effort, improve developer experience, and make software delivery more consistent and efficient. Success means turning AI capabilities into practical solutions that teams use and that measurably improve how software is developed and delivered. What You’ll Do Provide technical leadership for AI engineering and SDLC automation across PSD. Shape the technical strategy, roadmap, and delivery approach for AI and automation in software engineering. Identify, evaluate, and recommend tools, agents, copilots, platforms, and automation opportunities. Design and deliver engineering tools, agentic workflows, copilots, and automation that improve developer productivity and software delivery. Integrate these capabilities into continuous integration and delivery pipelines, developer paved roads, engineering workflows, and platform services. Establish practical standards, governance practices, evaluation methods, safety guardrails, and secure integration patterns for responsible use of AI. Partner with DevSecOps , Security, Quality Engineering, IT, platform teams, and engineering teams to bring automation into software delivery practices. Lead complex, cross-functional initiatives from discovery and experimentation through implementation, adoption, and measurement. Build reference implementations and working examples that make it easier for teams to adopt new capabilities. Provide technical guidance and mentoring to engineers and teams adopting new development practices. Define and track measures of success, including adoption, developer productivity, toil reduction, quality, reliability, and developer experience. Represent PSD in technical forums and contribute technical expertise to broader AI engineering and automation efforts across Agilent. Qualifications What You Bring Typically 8 years of relevant experience in software engineering, platform engineering, DevOps, developer productivity, workflow automation, SDLC automation, or related areas. Bachelor’s or Master’s degree in computer science, engineering, or a related field, or equivalent experience. Strong software engineering experience, including building integrations, automation, APIs, developer tooling, or platform capabilities. Hands-on experience building or integrating AI agents, copilots, LLM-based solutions, agentic workflows, or similar capabilities. Experience with continuous integration and delivery, SDLC tooling, developer workflows, and cloud or platform services. Ability to take broad or ambiguous engineering problems and turn them into practical technical solutions. Understanding of responsible AI practices, including governance, safety guardrails, evaluation methods, usage controls, and secure integration. Experience leading technical work across teams through expertise , collaboration, and influence. Experience helping engineering teams adopt new tools, technologies, and development practices. Ability to balance developer productivity with quality, reliability, security, cost, and responsible AI use. Ability to communicate complex technical topics clearly with engineers, technical leaders, and senior stakeholders. Experience solving difficult engineering problems, sharing knowledge, and making an impact beyond a single team or project. Additional Details This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least September 22, 2026 or until the job is no longer posted. The full-time equivalent pay range for this position is $167,328.00 - $261,450.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: careers.agilent.com Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility. Travel Required: Occasional Shift: Day Duration: No End Date Job Function: R&D

Requirements

Must-haves

What You’ll Do
Provide technical leadership for AI engineering and SDLC automation across PSD.
Shape the technical strategy, roadmap, and delivery approach for AI and automation in software engineering.
Identify, evaluate, and recommend tools, agents, copilots, platforms, and automation opportunities.
Design and deliver engineering tools, agentic workflows, copilots, and automation that improve developer productivity and software delivery.
Integrate these capabilities into continuous integration and delivery pipelines, developer paved roads, engineering workflows, and platform services.
Establish practical standards, governance practices, evaluation methods, safety guardrails, and secure integration patterns for responsible use of AI.
Partner with DevSecOps , Security, Quality Engineering, IT, platform teams, and engineering teams to bring automation into software delivery practices.
Lead complex, cross-functional initiatives from discovery and experimentation through implementation, adoption, and measurement.
Build reference implementations and working examples that make it easier for teams to adopt new capabilities.
Provide technical guidance and mentoring to engineers and teams adopting new development practices.
Define and track measures of success, including adoption, developer productivity, toil reduction, quality, reliability, and developer experience.
Represent PSD in technical forums and contribute technical expertise to broader AI engineering and automation efforts across Agilent.
Typically 8 years of relevant experience in software engineering, platform engineering, DevOps, developer productivity, workflow automation, SDLC automation, or related areas.
Bachelor’s or Master’s degree in computer science, engineering, or a related field, or equivalent experience.
Strong software engineering experience, including building integrations, automation, APIs, developer tooling, or platform capabilities.
Hands-on experience building or integrating AI agents, copilots, LLM-based solutions, agentic workflows, or similar capabilities.
Experience with continuous integration and delivery, SDLC tooling, developer workflows, and cloud or platform services.
Ability to take broad or ambiguous engineering problems and turn them into practical technical solutions.
Understanding of responsible AI practices, including governance, safety guardrails, evaluation methods, usage controls, and secure integration.
Experience leading technical work across teams through expertise , collaboration, and influence.
Experience helping engineering teams adopt new tools, technologies, and development practices.
Ability to balance developer productivity with quality, reliability, security, cost, and responsible AI use.
Ability to communicate complex technical topics clearly with engineers, technical leaders, and senior stakeholders.

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Keywords to mirror

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Platform: workday
Effort: long

Benefits

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