Lead, AI Engineering, SDLC Automation

🕒 August 5

🌐 United States, Spain – Remote

🇺🇸 United States – Remote 🇪🇸 Spain – Remote

🏄 California – Remote

🏄 California – Remote

💵 $167.3k - $261.4k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Agilent Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

💰 $500M Post-IPO Debt on 2019-09

Food & Beverage • Healthcare • Consulting

Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.

📋 Description

• 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 capabilities into continuous integration and delivery pipelines, developer paved roads, engineering workflows, and platform services • Establish standards, governance practices, evaluation methods, safety guardrails, and secure integration patterns for responsible AI • Partner with DevSecOps, Security, Quality Engineering, IT, platform teams, and engineering teams • Lead complex, cross-functional initiatives from discovery and experimentation through implementation, adoption, and measurement • Build reference implementations and working examples • Provide technical guidance and mentoring to engineers and teams • Define and track success measures including adoption, developer productivity, toil reduction, quality, reliability, and developer experience • Represent PSD in technical forums and contribute expertise to broader AI engineering and automation efforts across Agilent

🎯 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 turn broad or ambiguous engineering problems 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

• Eligibility for bonus • Stock • Benefits • Option to work remotely