{"id":1155610,"url":"https://alion.io/job/kla-corporation-service-supply-chain-ai-engineer","title":"Service Supply Chain AI Engineer","company":{"id":2407,"name":"KLA Corporation","domain":"kla.com","url":"https://alion.io/company/kla","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":94,"ghost_share":0,"stale_share":0.383,"repost_share":0,"time_to_fill_p50_days":54,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90400,"max":132600,"currency":"USD","period":"year","gross":null,"usd_annual":132600},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Embeddings","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Neo4j","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Function Calling","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Machine Learning","optional":true},{"name":"RAG","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-23T21:23:55Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T06:28:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.\nGroup/Division\nThe KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets - with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network.What You'll Do\nIn this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.\n1) Build AI tools that planners actually use\nDevelop and maintain internal tools (apps, dashboards, workflows) that operationalize advanced analytics for spares planning decision-making.\nTranslate planning problems into well-scoped product requirements: user journeys, success metrics, data needs, and rollout plans.\nCreate “self-serve” tools that reduce manual effort and scales insights across the organization\n2) Design and implement graph databases for AI use cases\nDefine the graph data model (nodes/edges, ontology/taxonomy, temporal relationships, metadata) to represent spares demand, parts, tools, configurations, sites, and operational signals.\nBuild ingestion pipelines and data quality checks to keep the graph accurate, explainable, and trusted.\nEnable AI and analytics on top of the graph: graph traversals, similarity search, embeddings, and graph ML patterns that support decision tools.\n3) Apply ML / AI to spares planning outcomes\nDevelop predictive models for demand forecasting (including intermittent/long-tail behavior), demand drivers, and related planning signals.\nSupport inventory planning improvements (e.g., safety stock, multi-echelon thinking, service-level tradeoffs) by connecting model outputs to actionable recommendations.\nPartner with SMEs to validate model behavior, define guardrails, and ensure outputs are usable and explainable in operational settings.\n4) Productionize: reliability, governance, and MLOps\nImplement testing, monitoring, documentation, versioning, and performance practices so tools are robust and maintainable.\nEstablish repeatable deployment patterns (dev/test/prod), model monitoring, and data lineage appropriate for enterprise planning environments.\nCreate clear documentation and enablement materials so tools can be adopted broadly (not just by technical users).\nWhat Success Looks Like (examples of outcomes)\nPlanners can answer critical questions faster (and with less manual wrangling) because data and relationships are captured in a reusable graph and exposed through intuitive tools.\nImproved forecast quality and earlier detection of demand changes for targeted segments (especially long-tail/intermittent parts), leading to fewer expedites and fewer stockouts.\nReduced avoidable inventory buffers through better segmentation, variability modeling, and decision support tied directly to planning actions.\nMinimum Qualifications\nSkills & Experience Needed\nRequired skills (must-have)\nAI / ML & analytics\nStrong Python skills for data and ML development (pandas/numpy, ML libraries, model evaluation).\nExperience developing customer demand prediction models, or other operational decision problems.\nGraph theory & graph data\nSolid foundation in graph theory concepts (graph modeling, connectivity, centrality, communities, bipartite/multipartite graphs, temporal graphs).\nHands-on experience building with a graph database (e.g., Neo4j or similar): schema design, query patterns, performance considerations.\nFamiliarity with graph embeddings and/or graph ML concepts (node/edge embeddings, message passing, link prediction, similarity).\nSoftware & data engineering\nStrong SQL and data modeling; ability to build reliable pipelines across large enterprise datasets.\nExperience building production services or internal tools (APIs, web apps, dashboards) with a focus on usability and maintainability.\nCollaboration\nProven ability to work with non-technical stakeholders, convert ambiguous business needs into effective tools, and drive adoption/change management.\nPreferred skills (nice-to-have)\nSupply chain planning experience (service parts, inventory optimization, safety stock, service-level tradeoffs, replenishment/network concepts).\nExperience with probabilistic forecasting approaches and intermittent-demand methods.\nKnowledge graphs / ontology design, entity resolution, and “semantic” modeling patterns.\nExperience integrating LLMs with structured data (RAG patterns, tool calling, natural-language-to-query workflows) where governance is required.\nMLOps and platform experience: model tracking, CI/CD, monitoring, containers, scalable compute.\nEducation & Qualifications\nMinimum / typical qualification guidelines\nMS or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Industrial Engineering, or a related quantitative field; OR\nMS + 3+ years relevant experience; OR\nBS + 5+ years relevant experience in software engineering / ML engineering / data engineering with demonstrated delivery of production tools.\nAbout KLA\nWe provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.\nTotal Rewards\nBase Pay Range: $90,400.00 - $132,600.00 Annually\nPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.\nInterns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.\nUse of AI Statement\nAt KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews-whether virtual or in person-is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.\nEqual Opportunity Statement\nKLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at  or at +1-408-352-2808 to request accommodation.\nFor additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.","description_format":"text","description_chars":8516,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Science & Engineering","Chemical Engineering","Semiconductor Equipment"],"lifecycle":[{"event":"open","at":"2026-09-23T21:23:55Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":54,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":132600,"is_top_pay":false},"html_url":"https://alion.io/job/kla-corporation-service-supply-chain-ai-engineer","json_url":"https://alion.io/job/kla-corporation-service-supply-chain-ai-engineer.json","meta":{"generated_at":"2026-09-24T07:18:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}