{"id":4289838,"url":"https://alion.io/job/trilogy-federal-aiml-engineer","title":"AI/ML Engineer","company":{"id":4376791,"name":"Trilogy Federal","domain":"trilogyfederal.com","url":"https://alion.io/company/trilogy-federal","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":100000,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Harbor","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-13T17:07:38Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T22:54:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Trilogy Federal seeks an experienced Artificial Intelligence and Machine Learning (AI/ML) Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (Summit ATLAS) program. The AI/ML Engineer will design, deploy, and support scalable AI/ML capabilities that enable VA customers to develop, operationalize, and manage advanced analytics and intelligent applications within the Summit Data Platform.\nThis position will lead the technical implementation of enterprise AI/ML tooling, reusable development frameworks, and production deployment capabilities. The AI/ML Engineer will work with VA stakeholders, data engineers, and technical teams to deliver secure, reliable, and responsible AI/ML solutions that meet Government-approved operational, security, and governance requirements.\nPlease note, this position is contingent upon award (anticipated early 2027).This role will also require 1-2 domestic business trips per year.\nPrimary Responsibilities:\nDesign, implement, and maintain enterprise AI/ML development and deployment capabilities using Azure Machine Learning, Azure Databricks, Azure AI services, and related technologies. \nDevelop and maintain reusable AI/ML solution templates, development environments, and deployment patterns that support predictive analytics, natural language processing, and generative AI applications. \nBuild and optimize machine learning pipelines for data preparation, model training, evaluation, deployment, and ongoing performance monitoring. \nImplement Machine Learning Operations (MLOps) practices, including model versioning, registry management, automated testing, deployment workflows, and reproducibility. \nSupport the integration of AI/ML models and services with Summit data assets, enterprise applications, and approved cloud infrastructure. \nImplement Government-approved responsible AI controls, including model explainability, bias assessment, privacy safeguards, human oversight, and appropriate handling of sensitive data. \nDevelop and maintain monitoring capabilities to detect model drift, performance degradation, operational failures, and other conditions requiring corrective action. \nImplement safeguards for generative AI applications, including prompt management, output validation, access restrictions, and human-in-the-loop review where required. \nCollaborate with VA stakeholders and technical teams to evaluate AI/ML use cases, assess technical feasibility, and establish production readiness criteria. \nTroubleshoot AI/ML platform and deployment issues, optimize model performance and resource utilization, and support reliable production operations. \nDevelop technical documentation, implementation guidance, and reusable reference materials to support adoption and ongoing operation of AI/ML capabilities. \nContribute technical findings, operational metrics, and recommendations to the Summit AI/ML Health Report and related Government reporting requirements. \nMinimum Requirements:\n Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical discipline, or an equivalent combination of education and relevant professional experience. \nSeven or more years of professional experience in machine learning engineering, artificial intelligence development, data science engineering, or a related technical discipline. \nDemonstrated experience deploying, scaling, and supporting AI/ML solutions in enterprise production environments. \nHands-on experience with Microsoft Azure AI/ML technologies, Azure Databricks, or comparable enterprise AI/ML platforms. \nStrong proficiency in Python and commonly used machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. \nExperience developing machine learning pipelines for model training, evaluation, deployment, and monitoring. \nExperience implementing MLOps practices, including model registries, version control, automated testing, and Continuous Integration and Continuous Delivery (CI/CD) workflows. \nKnowledge of predictive modeling, natural language processing, and generative AI technologies and their practical enterprise applications. \nExperience integrating AI/ML solutions with enterprise data platforms, application programming interfaces (APIs), and cloud-based services. \nUnderstanding of responsible AI principles, including model explainability, bias mitigation, privacy protection, and human oversight. \nStrong analytical, troubleshooting, communication, and technical collaboration skills. \nAbility to meet VA personnel vetting, background investigation, and system access requirements. \nThe ability to travel for 1-2 domestic business trips per year. \nPreferred Qualifications:\nDirect experience supporting VA or other federal agency AI/ML modernization initiatives. \nExperience implementing enterprise AI/ML capabilities in Microsoft Azure Government cloud environments. \nExperience developing and deploying large language model (LLM) applications, including retrieval-augmented generation (RAG) and prompt orchestration. \nExperience implementing AI/ML monitoring for model drift, bias, data quality, and operational performance at enterprise scale. \nExperience working with sensitive healthcare data, including Protected Health Information (PHI), and federal privacy and security requirements. \nExperience developing reusable AI/ML accelerators, reference architectures, or self-service capabilities for multiple customer teams. \nFamiliarity with federal responsible AI guidance, including the National Institute of Standards and Technology (NIST) AI Risk Management Framework. \nMicrosoft Certified: Azure AI Engineer Associate or comparable AI/ML certification. \nBenefits (including but not limited to):\nHealth, dental, and vision plans\nOptional FSA\nPaid parental leave\nSafe Harbor 401(k) with employer contributions 100% vested from day 1\nPaid time off and 11 paid holidays\nNo cost group term life/AD&D plan, and optional supplemental coverage\nPet insurance\nMonthly phone and internet stipend\nTuition and training reimbursement","description_format":"text","description_chars":6129,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[{"name":"United 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