Lead, AI Engineering & SDLC Automation
Agilent Technologies
Summary
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.
Job description
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.
Requirements
- 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.
Benefits
- Bonus
- Stock
- Health Insurance
Company overview
Agilent Technologies is a global leader in life sciences, diagnostics, and applied markets, delivering innovative solutions that advance scientific discovery and improve quality of life. Founded in 1999 as a spin-off from Hewlett-Packard, the company has grown into a major player in analytical instrumentation and laboratory services. With approximately 18,000 employees worldwide and annual revenues exceeding $6.5 billion, Agilent provides a comprehensive portfolio of instruments, software, services, and consumables that serve laboratories across pharmaceutical, biotechnology, clinical diagnostics, environmental, food safety, and academic research sectors. The company's product offerings span chromatography systems, mass spectrometry, spectroscopy, cell analysis platforms, molecular diagnostics, and laboratory informatics solutions. Agilent's expertise extends beyond hardware to include comprehensive laboratory management services through its CrossLab division, which helps customers optimize laboratory operations, ensure regulatory compliance, and maximize research productivity. The company's commitment to innovation and customer support has made it a trusted partner for scientists and researchers worldwide who rely on Agilent's technologies to address complex analytical challenges and drive scientific breakthroughs.