{"id":1826933,"url":"https://alion.io/job/lear-aip-innovation-engineer-idea-by-lear","title":"AIP Innovation Engineer - iDEA by Lear","company":{"id":1797416,"name":"Lear","domain":"lear.com","url":"https://alion.io/company/lear-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Southfield, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":4330},"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Red Teaming","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Error Budget","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLMOps","optional":true},{"name":"LoRA","optional":true},{"name":"MLFlow","optional":true},{"name":"Multimodal AI","optional":true},{"name":"PEFT","optional":true},{"name":"QLoRA","optional":true},{"name":"Ray","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T02:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-29T02:54:11Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Lear For You\nWe work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you.\nWe are your path to a better career, a better future, and a better you.\nOur teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies.\nOur teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win.\nAre you ready for a better career? A better future?\nWe're Lear For You.\nAIP INNOVATION ENGINEER - iDEA by Lear\nSOUTHFIELD, MI WORLD HQ - (HYRBID)\nAbout Lear and IDEA by Lear\nLear is a global Tier 1 automotive supplier of Seating and E-Systems. Through IDEA by Lear (Innovation, Digital, Engineering & Automation), we’re executing a multiyear digital transformation powered by Palantir Foundry and Palantir AIP to unify data, accelerate automation, and scale AI driven decisioning across our business and plants worldwide.\nWe’re building an elite team to turn this investment into impact. As an AIP Innovation Engineer, you’ll be on the front line- accelerating our AI adoption by designing and delivering AI automation solutions that plug into our Foundry ecosystem (Foundry AIP) and deliver measurable outcomes.\nPosition Overview\nThe AIP Innovation Engineer is a hands on builder and visionary to demonstrate “what is possible” with AIP/AI/Agentic AI across existing and new Foundry solutions. You’ll design, implement, and operationalize LLM/agent workflows, integrate internal and external data sources, and partner with Ontology Leads to shape data for maximum automation. This is not a “model only” role; it’s an end to end engineering role that spans data ingestion → semantic grounding → agent design → apps/APIs → productionization -with intelligent monitoring, observability, and guardrails baked in.\nWe prefer Palantir experience (Foundry + AIP, features like AI FDE and AI Pilot), but will consider strong hands on candidates from adjacent toolchains who can quickly ramp.\nKey Responsibilities\nAgentic AI & AIP Enablement\nDesign and implement AIP agents and LLM backed workflows (prompt flows, tools, skills, policies) that are grounded in Foundry Ontology objects and feature sets.\nLeverage and stay current on Palantir’s platform innovations (e.g., AI FDE, AI Pilot), bringing forward the right capabilities at the right time.\nData & Integration Engineering\nIdentify opportunities via hands-on data work and analysis to drive necessary harmonization/transforms, and semantic grounding to support AI/ LLM-based solutions.\nIdentify internal and external integrations (partner data, supplier feeds, SaaS apps) with appropriate security, throttling, and resilience patterns to bring the right data together, securely to leverage AI.\nOntology Driven AI\nPartner with Ontology Leaders to propose and refine ontology objects, relationships, and reusable semantics that unlock automation and cross use case reuse.\nInfluence data shaping required for RAG/grounding, action execution, reasoning chains, and multi-agent handoffs.\nReliability, Data Health & Guardrails\nCollaborate with Data Quality Lead for intelligent monitoring: data quality checks, freshness, schema drift, lineage, latency SLOs, evals for LLM output quality, “red team” prompts, and safety guardrails.\nEstablish evaluation harnesses (offline/online) for agent workflows and prompts; track regression metrics and cost/performance KPIs.\nProductionization & Performance\nBuild CI/CD pipelines, IaC where applicable, and observability (logs, traces, metrics) for AIP agents to ensure AIP agents and Foundry applications operate reliably at scale and can be quickly diagnosed, tuned, and improved.\nSolution Delivery & Stakeholder Collaboration\nWork closely with product owners, plant operations, quality, supply chain, and finance to scope high value use cases; rapidly deliver MVPs and iterate to scale.\nProvide clear technical documentation, runbooks, and handoffs to operations teams.\nRequired Qualifications\n4+ years building production data/AI solutions (startup or enterprise); demonstrated hands on ownership from ingestion to deployment.\nStrong experience with LLM/agentic systems: prompt design, tool/function calling, retrieval/grounding, safety policies, and evaluation.\nProficiency with at least two of: Python, TypeScript/JavaScript, PySpark; comfort with APIs, microservices, and event driven patterns.\nExperience with Palantir Foundry and/or AIP (Ontology, pipelines, transformations, apps, agents). If not Palantir, deep experience with adjacent stacks (e.g., LangChain/LangGraph/CrewAI/AutoGen/Semantic Kernel; vector DBs; cloud AI services) and the ability to ramp to Palantir quickly.\nPractical Data Quality & Observability experience (contracts, schema checks, lineage, alerts, evals) and a bias toward operational excellence.\nComfortable working without a mature EDW-able to roll up sleeves to wrangle messy data, define interim schemas, and harden pipelines.\nPreferred Qualifications\nPrior work integrating AI into manufacturing/industrial contexts (e.g., mapping to ISA-95 hierarchies, OEE, quality/NCR, routings, genealogy).\nLLMOps/MLOps experience (MLflow, model registries, eval pipelines, CI/CD for prompts/agents).\nCloud experience (Azure/AWS) for scaling inference, storage, and data movement.\nFamiliarity with secure by design patterns: identity, access, secrets, PII handling, audit logging.\nWhat You’ll Do in Your First 90 Days\nShip 1-2 targeted AIP agent MVPs grounded on existing ontology objects and iterate using eval feedback.\nBuild or harden ingestion → delivery paths for a high value use case, including intelligent data health monitoring and simple cost/perf dashboards.\nPartner with Ontology Leads to propose reusable object patterns that enable at least two additional AI use cases.\nHow We’ll Measure Success\n Time to first value for new AI use cases (from scoped to MVP in weeks, not months).\nReuse rate of agent tools, connectors, and ontology objects across teams.\n Data health SLOs met (freshness, schema stability, error budget) and measurable improvements in LLM/agent eval metrics.\n Production reliability (MTTR, incident count) and cost/performance improvements over baselines.\nWhy This Role is Different\nIt’s not a pure research or model-only role-you’ll build end-to-end systems where models, data, and software meet.\nYou’ll help shape Lear’s enterprise ontology to amplify automation and speed across solutions.\nYou’ll be part of a high-performing team with executive sponsorship and a multi-year commitment to Foundry + AIP.\nNice to Have Experience (Translatable if not Palantir)\nBuilt agentic AI systems using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel.\nImplemented RAG with hybrid retrieval, adaptive chunking, and domain-specific guardrails.\nDesigned distributed fine-tuning (e.g., QLoRA, instruction tuning) and stood up LLMOps/MLOps pipelines (MLflow, K8s, SageMaker, Ray).\nDelivered document intelligence (multimodal parsing, extraction, validation) and operational AI (recommendation, anomaly detection, forecasting).\nLear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.\nApplicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.","description_format":"text","description_chars":7841,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-04T11:42:09Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.728,"p_room":0.55,"age_days":31,"expected_fill_days":21,"reasons":["conf:2","velocity","win:tail","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/lear-aip-innovation-engineer-idea-by-lear","json_url":"https://alion.io/job/lear-aip-innovation-engineer-idea-by-lear.json","meta":{"generated_at":"2026-10-29T10:02:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15134,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1797416},"rest":"https://alion.io/mcp/rest/get_company?id=1797416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flear-aip-innovation-engineer-idea-by-lear"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flear-aip-innovation-engineer-idea-by-lear"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flear-aip-innovation-engineer-idea-by-lear"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lear-aip-innovation-engineer-idea-by-lear\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flear-aip-innovation-engineer-idea-by-lear"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1826933}},{"tool":"search_jobs","arguments":{"company":"lear.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1826933},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}