{"id":3320716,"url":"https://alion.io/job/light-wonder-ai-platform-engineer","title":"AI Platform Engineer","company":{"id":1846829,"name":"Light & Wonder","domain":"lnw.com","url":"https://alion.io/company/lnw-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":12,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Copilot Studio","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"UiPath","optional":false}],"status":"closed","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T20:38:37Z","board_verified":false,"closed_at":"2026-10-29T20:38:37Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Corporate:\nLight & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees.\nPosition Summary\nServes as the technical gatekeeper for AI tools built by non-developers and aids in the builds and deployment of AI solutions across the enterprise, specifically the CFO organization. Ensures that when a business user builds something with AI, it's safe, accurate, and operates within the established governance guidelines.\nKey Responsibilities\nReview AI solutions built by non-developers against best-practice engineering standards and the team's governance framework before they go into production.\nChampion reusable architecture patterns and templates so solutions can be redeployed across all BUs rather than rebuilt each time.\nAssess citizen-developer builds for data lineage, model accuracy thresholds, human-in-the-loop safeguards, and audit trail compliance, then flag and lead to remediate gaps.\nAid to implement automated output validation, drift detection, and exception escalation for solutions post-launch.\nTrack token/API usage and cost at the solution and BU level; support monthly usage reporting to CFO leadership.\nDesign, build, and deploy AI/LLM-integrated solutions for FP&A, accounting, audit, and reporting workflows; maintain all code in Git with version control and peer review.\nPartner with the FP&A AI Sr. Analyst on requirements, the AI Governance lead on control design, and enterprise IT/architecture on alignment.\nQualifications\nRequired Skills : Technical\nPython (or equivalent) for automation and data pipeline work.\nCloud platform experience (Azure/AWS preferred).\nHands-on experience integrating LLM APIs (OpenAI, Anthropic, Azure OpenAI).\nGit-based version control, structured code review, and change management practices.\nSQL and ETL/data pipeline experience.\nWorking familiarity with low-code/RPA platforms (Power Platform, UiPath, Copilot Studio), with enough depth to competently review, not necessarily build in them.\nUnderstanding of AI governance concepts: model validation, drift detection, data lineage, audit trails.\nRequired Skills: Domain & Communication\nAble to explain technical risk in plain language to non-technical finance staff whose builds are under review.\nWorking knowledge of finance processes sufficient to judge business context and materiality of a given AI build.\nComfortable working across business units with varying technical maturity.\nNice to Have\nFinance/accounting background or FP&A exposure.\nExperience standing up a citizen-developer governance program or AI Center of Excellence.\nSOX/internal controls familiarity.\nWork Conditions: Thephysical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nLight & Wonder and its affiliates (collectively, “L&W”) are engaged in highly regulated gaming and lottery businesses. As a result, certain L&W employees may, among other things, be requiredto obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulationor contracts. In order toensure L&W complies withits regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, L&W requires all ofits employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with L&W (to the extent permittedby law), you shall be asked to consent to L&W conducting a due diligence/background investigation on you.\nThis job description should not be interpreted as all-inclusive; it is intended to identifymajor responsibilities and requirements of the job. 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