{"id":1428157,"url":"https://alion.io/job/revvity-principal-ai-devops-engineer","title":"Principal AI & DevOps Engineer","company":{"id":20081,"name":"Revvity","domain":"revvity.com","url":"https://alion.io/company/revvity","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Thane, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"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":"2026-09-28T22:10:15Z","employer_posted_date":null,"last_verified_at":"2026-09-28T22:10:15Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Are 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.\n\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.\n\nWhat You'll Own\n\nFirst 30 Days — Strategic Discovery & Architecture Assessment\n\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.\n\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.\n\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.\n\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.\n\nBeyond 30 Days — Build, Lead, and Scale\n\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.\n\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.\n\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.\n\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.\n\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.\n\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.\n\nRequired Qualifications\n\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\n\nThis role is designed for someone who brings their own perspective, methodology, and technical philosophy — not just executes a playbook. We value engineers who have strong opinions, loosely held, and the experience to back them up.","description_format":"text","description_chars":3884,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Diagnostic Tests & IVD","Genomics & Genetic Testing","Laboratory Equipment"],"lifecycle":[{"event":"open","at":"2026-09-29T00:08:44Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":23,"reasons":["seen:1","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/revvity-principal-ai-devops-engineer","json_url":"https://alion.io/job/revvity-principal-ai-devops-engineer.json","meta":{"generated_at":"2026-10-01T03:02:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2483,"day_limit":5000,"remaining_today":2517,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}