{"id":3182962,"url":"https://alion.io/job/revvity-principal-ai-devops-engineer-2","title":"Principal AI & DevOps Engineer","company":{"id":20081,"name":"Revvity","domain":"revvity.com","url":"https://alion.io/company/revvity","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":20,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-27T10:11:21Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"Job Title\nPrincipal AI & DevOps EngineerLocation(s)\nMumbaiAbout Us\nRevvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.\nFind your future at Revvity\nAre you a seasoned technologist who thrives at the intersection of artificial intelligence and business transformation? Do you have a proven track record of turning complex AI/ML concepts into scalable, production-grade systems that move the needle for enterprise operations? If so, we want to hear from you.\nWe are looking for a Principal AI & DevOps Engineer to join our team - a strategic builder and technical leader who brings deep expertise, sharp instincts, and a bias for action. You won't just execute; you'll shape the direction of how we architect, deploy, and scale AI/ML solutions across the organization.\nWhat You'll Own\nFirst 30 Days - Strategic Discovery & Architecture Assessment\nEnterprise Systems Audit: Rapidly assess our existing technical landscape, business architecture, and active AI workstreams - bringing your experience to quickly identify gaps, redundancies, and high-leverage opportunities others might miss.\nCross-Functional Stakeholder Engagement: Lead structured discovery sessions across business units to surface operational friction points and define a prioritized roadmap for AI/ML intervention - drawing on your experience translating business pain into technical solutions.\nTechnology Evaluation & Benchmarking: Apply your deep knowledge of emerging AI/ML technologies, industry trends, and software engineering best practices to evaluate our current toolchain and recommend improvements with clear rationale.\nStrategic Value Mapping: Deliver a well-reasoned assessment of where generative AI can reduce manual overhead, unlock creative capacity, or create competitive advantage - backed by your own experience doing exactly that.\nBeyond 30 Days - Build, Lead, and Scale\nFull-Stack AI Application Development: Architect and deliver production-quality, full-stack AI-powered applications - leveraging Python backends and JavaScript/Flutter frontends - with a focus on performance, maintainability, and user experience informed by years of hands-on delivery.\nContext Engineering & LLM Optimization: Design and implement sophisticated context engineering strategies - orchestrating enterprise data, memory systems, tool outputs, and prompt chaining within LLM context windows to produce accurate, structured, and reliable outputs at scale.\nEnd-to-End Pipeline Ownership: Own the full deployment lifecycle. Design, implement, and continuously improve CI/CD pipelines for LLM applications - including automated testing frameworks - applying best practices you've refined over your career.\nData Engineering & ML Lifecycle Management: Drive data quality, pipeline integrity, and dataset governance to fuel deployed ML models - bringing mature engineering discipline to data validation, query optimization, and model input management.\nObservability & Performance Engineering: Establish robust monitoring frameworks using tools like AWS CloudWatch, define and track AI performance against business KPIs, and deliver executive-ready dashboards and reports that connect system health to business outcomes.\nTechnical Leadership & Knowledge Sharing: Mentor peers through code reviews, lead architectural discussions, and present fully operational solutions during stakeholder demos - translating complex AI/ML architecture into clear, compelling narratives for both technical and non-technical audiences.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science or equivalent field\n8-12 years of hands-on experience in full-stack development\nProven DevOps & Automation expertise: Deep experience with CI/CD tooling, deployment workflows, and Infrastructure as Code (IaC) in production environments\nThis role is designed for someone who brings their own perspective, methodology, and technical philosophy - not just executes a playbook. 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