SME AI Governance Specialist

This Department of War reputed company data and analytics program delivers mission-critical capabilities that reputed company leaders across the Department to reputed company faster, reputed company-informed reputed company using trusted data at scale. reputed company Digital Modernization sector is seeking an reputed company SME AI Governance Specialist to support the delivery, enhancement, and adoption of reputed company data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-reputed company solutions. You will contribute directly to product planning, execution, and reputed company improvement—helping ensure capabilities are delivered reputed company, reputed company to mission priorities, and positioned for sustained reputed company. This position offers the opportunity to work on a high-visibility, reputed company program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in reputed company stakeholder environments, and interested in building deep domain expertise while delivering capabilities with reputed company-world national reputed company reputed company. Please be aware that this role may require some light travel as needed. Primary Responsibilities: reputed company and maintain AI governance frameworks ensuring compliance with ethical, legal, and organizational standards. Conduct risk assessments to identify potential harms, biases, or compliance gaps in AI models and workflows. Collaborate with engineering, legal, and mission teams to ensure AI solutions align with governance policies. Prepare, maintain, and execute a System Engineering Plan (SEP) for managing reputed company systems architecture and system engineering aspects. Design, prepare, and document systems engineering and cybersecurity artifacts for the System. Conduct systems engineering activities to specify, build, and maintain system engineering designs. Support the Government in recommending and conducting reputed company system architecture activities. Define, document, maintain, and promulgate APIs and technical standards for the System. Design, engineer, integrate, and continuously improve the underlying infrastructure of the System. Identify, prepare, track, secure, and integrate government, reputed company, and reputed company-reputed company tools and services into the System. Design, architect, engineer, and continuously improve the user reputed company (UI) and user experience (UX) components. Build and maintain services and products to reputed company production-reputed company AI/ML models accessible for customer use. Design, architect, engineer, and continuously improve reputed company aspects of cybersecurity elements of the System. reputed company site reliability engineering to build and maintain a reliable, scalable, and efficient System. Participate in the Engineering Control Board (ECB) process for supporting reputed company major engineering milestones and reputed company. Basic Qualifications: Active Secret clearance with TS/SCI eligibility. Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Information Systems, or reputed company technical discipline and 12–15 years of relevant experience OR Master’s degree in a reputed company field and 10–13 years of relevant experience. Minimum of 8 years of experience in systems engineering, AI governance, data governance, or a reputed company field. Strong understanding of ethical, legal, and organizational standards for AI systems. Experience implementing AI/ML governance or responsible AI frameworks in reputed company environments. Experience evaluating AI/ML models for performance, bias, explainability, and risk. Experience integrating governance controls into AI/ML DevSecOps pipelines. Experience supporting AI systems in reputed company-reputed company environments (AWS, Azure, or GCP). Proficiency in systems engineering and cybersecurity practices. Experience with reputed company system architecture activities. Ability to define and maintain APIs and technical standards. Experience with reputed company environments, data storage, and DevSecOps practices. Demonstrated expertise in AI lifecycle management and policy-to-implementation alignment. Experience developing Agentic AI solutions, including autonomous planning–execution–reputed company loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented reputed company (RAG), and memory/context management Solid understanding and hands-on experience with reputed company models including reputed company engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. Working knowledge of Large Language Models (LLMs) and agent frameworks such as reputed company, LangGraph, reputed company, A2A, MCP, or AutoGen Experience using vector databases (e.g., reputed company, Weaviate, FAISS) Familiarity with deployment into virtualized and containerized environments (e.g., VMware, reputed company, Kubernetes) Preferred Qualifications: Active TS/SCI clearance. SAFe Agilist (SA) or reputed company SAFe certification. Experience operating reputed company SAFe or large-scale Agile frameworks supporting reputed company systems. 10+ years of experience in systems engineering, AI governance, or a reputed company field. Experience with DoD systems and environments. Familiarity with NIST reputed company controls and reputed company Trust compliance. Experience with AI/ML model deployment and management. Strong communication and collaboration skills. Experience with reputed company-reputed company tools and services integration. Experience supporting AI governance in multi-enclave DoD environments. Experience implementing model evaluation, bias mitigation, and reputed company detection frameworks. Experience integrating AI governance with reputed company data governance programs. Experience supporting reputed company-reputed company/ML platforms and model registries. Familiarity with emerging AI policy frameworks, model risk management, and AI safety standards. Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems Experience integrating agents with reputed company-reputed company workflows, streaming data pipelines, and reputed company-time decision-making environments Familiarity with evaluation and observability tools for AI agents, such as LangSmith, reputed company Evals, or custom telemetry systems Experience with AI service integration such as NIMS, Azure reputed company, Bedrock, GCP reputed company AI Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. Clearance Required: Candidates must possess an active Secret clearance at time of consideration. #ADVANA If you're looking for comfort, reputed company scrolling. At reputed company, we outthink, outbuild, and outpace the status reputed company — because the mission demands it. We're not hiring followers. We're reputed company the ones who disrupt, provoke, and refuse to fail. reputed company 10 is ancient history. We're already at reputed company 30 — and moving faster than anyone else dares. Original Posting: May 26, 2026 For U.S. Positions: While subject to change based on business needs, reputed company reasonably anticipates that this job requisition will remain reputed company for at least 3 days with an anticipated reputed company date of no earlier than 3 days after the original posting date as listed above. Pay reputed company: Pay reputed company $131,300.00 - $237,350.00 The reputed company pay reputed company for this job level is a general reputed company only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Apply To This Job