{"id":3570314,"url":"https://alion.io/job/saic-aiml-developer","title":"AI/ML Developer","company":{"id":58788,"name":"SAIC","domain":"saic.com","url":"https://alion.io/company/saic","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":83,"ghost_share":0,"stale_share":0.88,"repost_share":0.012,"time_to_fill_p50_days":24,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chantilly, United States","Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":253000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":398},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-28T17:56:56Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-05T16:53:50Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"SAIC is building an early-career AI/ML Developer team within our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will support the creation, prototyping, and operationalization of cutting-edge AI/ML Proof of Concepts (PoCs)-including GenAI/LLMs, NLP, and computer vision-specifically tailored to Intelligence Community (IC) mission use cases. These are dynamic, high-impact positions supporting multiple IC programs in both unclassified and classified environments. This is a hybrid role for candidates residing in the Northern Virginia corridor, with on-site work in SCIFs and customer facilities as needed.\nResponsibilities include, but are not limited to:\nRapid PoC & demo prototyping (≈50%): Assist senior developers in designing, coding, and deploying visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision) to address IC mission needs.\nEnvironment setup: Help configure and maintain development environments and local tooling for both unclassified and SCIF-based AI development.\nSecure deployment & MLOps (≈30%): Collaborate with senior engineers to containerize applications (e.g., Docker) and package models for deployment into secure environments.\nPipeline integration: Assist in integrating prototypes into CI/CD pipelines and deploying them into secure, multi-tenant cloud environments (AWS and/or Azure).\nDemos & stakeholder support (≈20%): Prepare prototype environments for customer demonstrations and ensure codebases are clean, well-structured, and well-commented.\nDocumentation: Draft clear technical documentation, API guides, and system diagrams to support the transition of prototypes into operational systems.\n Residency in the Northern Virginia corridor with the ability to support a hybrid work model (remote plus on-site SCIF/customer locations as required).\nActive Top Secret clearance with the ability to obtain SCI access.\nBachelor’s degree in Computer Science, Data Science, Engineering, or related technical discipline and 2+ years of relevant software or AI/ML experience.\nOR Master’s degree in a related technical discipline with 0+ years of relevant experience.\nFoundational proficiency in Python and core software engineering practices (e.g., Git-based version control, unit testing, clean code architectures).\nHands-on exposure to at least one major ML framework (e.g., PyTorch or TensorFlow) through coursework, personal projects, internships, or professional tasks.\nClearance Requirements:\nActive Top Secret clearance with the ability to obtain SCI access.\nTS/SCI strongly preferred and may be required for specific program tasking.\nPreferred Qualifications:\nFamiliarity with Docker and basic cloud concepts in AWS and/or Azure.\nExperience using lightweight frontend tools or frameworks (e.g., React) to build functional, interactive user interfaces for demonstrations.\nFamiliarity with Intelligence Community missions, environments, and workflows.\nPhysical Requirements:\nWorks primarily in an office, lab, or SCIF environment using computers and standard office equipment.\nAbility to sit or stand for extended periods while working at a computer workstation.\nMay require occasional lifting of laptops and related equipment (up to ~20 lbs).\nAbility to commute to Northern Virginia-area SAIC and customer facilities and to travel occasionally to other customer sites as required by the 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