{"id":3709248,"url":"https://alion.io/job/vantor-ai-software-engineer-tssci","title":"AI Software Engineer (TS/SCI)","company":{"id":15008,"name":"Vantor","domain":"vantor.com","url":"https://alion.io/company/vantor","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":11,"ghost_share":0,"stale_share":0.636,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herndon, United States","Westminster, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"JavaScript","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"ElasticSearch","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-11-03T22:11:19Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T19:27:29Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.\nTo be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.\n\nExport Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).\nPlease review the job details below.\nThis position requires an active U.S. Government Security Clearance at the TS/SCI level.\nWe are seeking a Senior AI/ML Software Engineer to integrate secure chatbot and AI assistant capabilities into existing geospatial intelligence, analytics, visualization, and mission-support tools. You will help analysts discover data, navigate applications, and complete approved workflows using natural language. The role requires strong software engineering skills, practical LLM experience, and an understanding of secure, usable AI in mission environments.\nResponsibilities:\nIntegrate AI chatbots and assistants into existing geospatial, analytics, visualization, and mission applications. \nBuild natural-language workflows for data discovery, application navigation, visualization generation, and approved actions. \nImplement LLM patterns such as prompt orchestration, retrieval-augmented generation, tool calling, and conversation context. \nConnect AI services to REST APIs, data catalogs, search platforms, knowledge graphs, geospatial services, notebooks, and dashboards. \nDevelop reusable backend services and frontend components that make AI assistance simple for analysts to use. \nEnforce identity, entitlements, and data-access policies; provide citations, provenance, audit records, and clear system limitations. \nTest and evaluate AI quality, safety, latency, and usability, including protections against prompt injection, data leakage, and unauthorized actions. \nDeploy and operate AI services in Kubernetes and Red Hat OpenShift, including restricted or disconnected environments, and collaborate with technical and customer teams. \nMinimum Qualifications:\nMust be a U.S. Citizen with an active TS/SCI clearance (with willingness to obtain a CI poly)\nBachelor's degree in computer science, software engineering, data science, artificial intelligence, or a related field with 8+ years of professional software engineering experience delivering production applications or services. \nHands-on experience integrating generative AI or LLMs into production software applications using patterns such as RAG, embeddings, vector search, function calling, or agent workflows. \nStrong Python skills and experience with JavaScript, TypeScript, Java, Go, C++, or another modern language. \nExperience building REST APIs or microservices and using Git, automated testing, CI/CD, and Agile development practices. \nExperience integrating enterprise data sources and applying secure identity, authorization, and data-protection controls. \nPreferred Qualifications:\nExperience building chatbot interfaces with React, TypeScript, or comparable web frameworks and applying usability practices. \nExperience with AI orchestration frameworks, model gateways, MCP-compatible services, or agent-to-tool integration. \nExperience deploying commercial, open-source, or locally hosted LLMs in cloud, on-premises, classified, air-gapped, or disconnected environments. \nExperience with vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, or other mission-critical systems. \nExperience with AI safety controls, human-in-the-loop approvals, model monitoring, evaluation, GPU workloads, or model serving. \nExperience with containers and Kubernetes; Red Hat OpenShift experience is preferred. \nPay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.\nThe base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:\n$140,000.00 - $200,000.00Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers\nThe application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.\nThe date of posting can be found on Vantor's Career page at the top of each job posting.\nTo apply, submit your application via Vantor's Career page.\nEEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. 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