{"id":768425,"url":"https://alion.io/job/lockheed-martin-agentic-ontology-software-engineer-2","title":"Agentic Ontology Software Engineer","company":{"id":37086,"name":"Lockheed Martin","domain":"lockheedmartin.com","url":"https://alion.io/company/lockheedmartin","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":96,"open_postings":2242,"ghost_share":0.01,"stale_share":0,"repost_share":0.201,"time_to_fill_p50_days":34,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Denver, United States","New York, United States","Arlington, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":98100,"max":182100,"currency":"USD","period":"year","gross":null,"usd_annual":182100},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Amazon Neptune","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"Azure","optional":true},{"name":"Celery","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Django","optional":true},{"name":"Docker","optional":true},{"name":"Helm","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenShift","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Rest API","optional":true},{"name":"SQL","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-22T02:00:28Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-14T22:16:19Z","board_verified":true,"closed_at":null,"days_open":84,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":84},"description":"Standard Job Description\nJoin our team as a Senior AI Engineer focused on ontologies, knowledge graphs, and production AI systems.\nYou will turn complex enterprise data into trusted knowledge that AI applications can understand and use. You will work directly with users, domain experts, data owners, and platform teams.\nThis role uses a forward-deployed engineering model. You will identify user problems, build solutions, deploy them, and improve them through direct feedback.\nYou will own work from early discovery through production support. You must be comfortable with unclear requirements, unfamiliar data, and complex system constraints.\nResponsibilities include:\nWork with users and domain experts to define problems, outcomes, and technical requirements.\nConvert enterprise concepts and source metadata into clear ontologies and semantic models.\nDesign knowledge graphs that connect business meaning to source data.\nBuild AI agent workflows that create, evaluate, and improve ontology artifacts.\nDevelop evaluation methods for AI quality, source traceability, query accuracy, and human review.\nIntegrate relational databases, APIs, files, cloud platforms, and enterprise data systems.\nBuild production software across services, APIs, background jobs, web applications, and graph query systems.\nCreate tests and controls for AI output, ontology quality, data mappings, and production behavior.\nDeploy software through automated pipelines, containers, and cloud platforms.\nObserve production systems and resolve failures across application, AI, data, and infrastructure components.\nMake clear tradeoffs among user value, technical quality, security, schedule, and long-term support.\nPresent technical decisions to engineering teams, domain experts, and business leaders.\nReview designs and code, mentor other engineers, and improve team engineering practices.\nApply lessons from each user engagement to reusable platform capabilities.\nThis position is for a senior individual contributor. The engineer will lead technical work without requiring formal personnel authority.\nBasic Qualifications\nA bachelor’s degree in Computer Science, Engineering, Data Science, Applied Mathematics, or a related STEM field, with five years of relevant experience.\nA master’s degree with three years of relevant experience can satisfy the education and experience requirement.\nExperience developing production software in Python, including services, APIs, data pipelines, or distributed applications.\nExperience building and deploying AI, machine learning, LLM, or agent-based systems beyond an initial prototype.\nExperience designing ontologies or knowledge graphs with RDF, OWL, and SPARQL.\nExperience working directly with users or domain experts to convert unclear needs into deployed software.\nDesired Skills\nExperience with SHACL, R2RML, ontology reasoning, ontology governance, or competency-question evaluation.\nExperience with graph databases or virtual knowledge graph platforms, such as Amazon Neptune or Ontop.\nExperience with AI agent frameworks and model platforms, such as Strands Agents, AWS Bedrock, or Azure OpenAI.\nExperience evaluating LLM systems for accuracy, traceability, safety, reliability, cost, and latency.\nExperience with Django, REST APIs, asynchronous Python, Celery, PostgreSQL, or Redis.\nExperience with React, TypeScript, or full-stack application development.\nExperience connecting SQL databases, REST APIs, OpenAPI specifications, files, or Databricks.\nExperience with Docker, Kubernetes, OpenShift, Helm, and CI/CD pipelines.\nExperience with production observability, structured logs, metrics, tracing, and incident resolution.\nExperience applying security and access controls to enterprise AI or data systems.\nExperience with ontology editors, semantic modeling tools, or graph visualization tools.\nExperience mentoring engineers or leading technical work across multiple teams.\nExperience delivering software in a customer environment with changing requirements and limited information.\nPay Information\nGeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.\nFull-time salary range (GEOZONE 1): $122600.00 - $227600.00 Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.\n\nFull-time salary range (GEOZONE 2): $110300.00 - $204900.00 Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.\n\nFull-time salary range (GEOZONE 3): $98100.00 - $182100.00Includes metropolitan areas such as Dallas-Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.\n\nFull-time salary range (GEOZONE 4): $88300.00 - $163900.00Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc. \n\nAt Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally.\nThe salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.\nLockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.\nBenefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.\nAnnual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.\nFor (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.","description_format":"text","description_chars":6596,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Education assistance","Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Aerospace Manufacturing","Combat Aircraft","Missiles","Military Satellites"],"lifecycle":[{"event":"open","at":"2026-09-11T20:40:10Z"},{"event":"close","at":"2026-10-19T17:54:11Z"},{"event":"reopen","at":"2026-10-28T04:39:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":182500,"route":null,"cap_exempt":false,"checked_at":"2026-11-14T07:33:33+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":20,"band":"cold","label":"Long shot","p_open":1,"p_active":0.727,"p_room":0.28,"age_days":84,"expected_fill_days":34,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":{"stated_usd_annual":182100,"is_top_pay":true},"html_url":"https://alion.io/job/lockheed-martin-agentic-ontology-software-engineer-2","json_url":"https://alion.io/job/lockheed-martin-agentic-ontology-software-engineer-2.json","meta":{"generated_at":"2026-11-15T00:58:09Z","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":1751,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":37086},"rest":"https://alion.io/mcp/rest/get_company?id=37086"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flockheed-martin-agentic-ontology-software-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Flockheed-martin-agentic-ontology-software-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Flockheed-martin-agentic-ontology-software-engineer-2"},{"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/lockheed-martin-agentic-ontology-software-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flockheed-martin-agentic-ontology-software-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":768425}},{"tool":"search_jobs","arguments":{"company":"lockheedmartin.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":768425},"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. 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