{"id":4046545,"url":"https://alion.io/job/bcore-senior-ai-and-knowledge-systems-engineer","title":"Senior AI and Knowledge Systems Engineer","company":{"id":2681147,"name":"Bcore","domain":"bcore.com","url":"https://alion.io/company/bcore","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Confluence","optional":false},{"name":"Embeddings","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SharePoint","optional":false}],"status":"live","first_seen_at":"2026-11-11T00:13:22Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T00:13:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview\nSenior AI and Knowledge Systems Engineer\nActive TS/SCI with CI poly\nChantilly, VA\nAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.\nAre you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior AI and Knowledge Systems Engineer in Chantilly, Virginia.\nResponsibilities\nWhat You’ll Do\nEnterprise Knowledge Platform: Design and build a knowledge system that brings together staff reports, plans, and tracked items that today live in separate places across Jira, Confluence, and SharePoint.\nQuestion Answering: Build NLP and LLM-based workflows that let a user ask a plain question, such as “give me a completed trip report” or “show me the burndown from our last trip,” and get an answer written the way the staff would write it.\nStaff Validation: Put staff in the loop to review outputs against how they would have answered, and use their feedback to tune the system until they trust it.\nControlled Information Testing: Release only selected information to the model and observe what it surfaces, so we can measure accuracy, find gaps, and understand how the system behaves.\nUser Testing: Watch users do the task the way they normally would, then test the system’s output against their results and use the differences to guide the next round of work.\nPrompt Engineering and Integration: Build and refine prompts, APIs, and MCP connections that link the model to Jira, Confluence, SharePoint, and the other data sources staff already use.\nAccess Control and Need-to-Know: Make sure the system never shows a user anything they aren’t cleared or authorized to see. Answers must respect the permissions already set in Jira, Confluence, and SharePoint, along with classification markings, compartments, and need-to-know. This applies to every part of the system, including search indexes, embeddings, prompts, and model outputs. You will also build in audit logging and keep the data on the networks where it belongs.\nWorking With Real-World Systems: Work with the systems as they are, not as the documentation says they should be. Some installations are not on current versions, APIs may be limited or unreliable, and MCP connectors may not exist for what you need. You will find workable paths, such as building your own connectors, adapting to older APIs, or pulling content another way, and document what you learn.\nPath to Enterprise Capability: Grow the first working version into an enterprise knowledge store, working toward initial and then full operational capability.\nWho We’re Looking For\nA builder who enjoys turning messy, siloed information into something people actually use \nSomeone who learns new tools quickly and wants to work at the frontier of AI \nSomeone who stays productive when the tools are older, the APIs are inconsistent, or the connector they need hasn’t been built yet \nSomeone who spends time with end users and designs around how they really work \nA self-thinker who is comfortable owning ambiguous problems and moving them forward \nSomeone who treats access control and data protection as part of the design from day one, not something added at the end \nSomeone who takes a human-in-the-loop approach and understands both the strengths and the limits of AI \nSomeone who cares about accuracy and can show how they know an answer is right \nA clear communicator who can explain technical choices to engineers and to senior non-technical leaders\nA self-motivated individual who works well on their own and as part of a team \nQualifications\nRequired Qualifications:\nActive TS/SCI clearance with CI poly required to start\nExperience building NLP or LLM-based applications, including prompt engineering and working with LLM APIs \nExperience designing and building APIs and integrating multiple data sources \nExperience implementing access controls in data or search systems, such as role- or attribute-based access, permission-aware retrieval, and audit logging \nExperience organizing large collections of documents or data so they can be searched and reused \nAbility to explain technical work to non-technical users and leadership \nDesired Qualifications:\nExperience with retrieval-augmented generation (RAG) and vector or graph-based search \nExperience with one or more of Jira, Confluence, or SharePoint, including their APIs and how content is structured in them \nExperience with MCP servers or similar tool-integration approaches for LLMs \nExperience building custom MCP servers or connectors where no off-the-shelf option exists \nExperience integrating with older or on-premises software versions and working around limited, inconsistent, or poorly documented APIs \nExperience with knowledge management, knowledge graphs, or semantic data standards \nExperience designing ways to test LLM output, including accuracy checks and human review \nExperience building and deploying tools on JWICS or higher-classification networks \nFamiliarity with IC data handling, including classification markings, compartments, and need-to-know controls \nFamiliarity with how military or command staffs produce reports, plans, and operational products \nStrong Python skills and experience with modern data and AI tooling \nExperience working in Agile environments with short, iterative delivery cycles \nExperience running user research or user testing on analytic or data-driven tools \nWhat you can expect from us\nThe expected salary range within the Washington, DC metropolitan area is: $150,000 - 210,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.\nBenefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.\nBCore is proud to be an equal opportunity workplace. 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