A

Agilent Technologies

Provides eProcurement automation and hosted catalogs

Lead AI Engineering & SDLC Automation

AI Application EngineeringUpdated on Nov 12
Full-time

About the Job

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, large language model-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.

Responsibilities

  • 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.

About the Company

Agilent Technologies

Provides eProcurement automation and hosted catalogs

Agilent Technologies provides eProcurement services that help businesses buy supplies more efficiently. It offers a suite of electronic procurement tools that let clients load their pricing into existing purchasing platforms, access a hosted catalog, and complete transactions digitally without paper. The service connects pricing data to clients’ procurement systems, delivers an online catalog, and supports automated, paperless purchasing workflows. This makes purchasing faster and reduces manual steps. Compared with competitors, Agilent emphasizes automation, quick connectivity between pricing, catalogs, and purchasing platforms, and a reliable, scalable experience backed by its broad product range. The company aims to improve client productivity and lower procurement costs, helping customers buy what they need more easily while keeping prices clear and consistent.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1999

Recently Posted Jobs

Explore more opportunities at Agilent Technologies

See more jobs