Sr. Artificial Intelligence Engineer (5361) (TS/SCI) (Ft. Belvoir, VA - Nolan Bldg)

SMX is seeking a Sr. Artificial Intelligence Engineer.This is a full-time onsite position in Ft. Belvoir, VA.Essential Duties & ResponsibilitiesAI Model Lifecycle & MLOpsDesign, develop, and deploy machine learning models to achieve organizational mission objectivesImplement MLOps processes and CI/CD pipelines in containerized or reproducible computing environments to support the full ML lifecycleAssess and address limitations of methods to deliver machine learning models in productionConduct AI risk assessments to ensure models and solutions are performing as designedMonitor, evaluate, and optimize ML model performance using appropriate metricsLLM Integration & Application DevelopmentIntegrate AI solutions with cloud and enterprise IT infrastructureDesign and implement AI-enabled applications leveraging Large Language Models (LLMs) and foundation modelsAutomate development, testing, security, and deployment of AI/ML-enabled softwareDevelop APIs and interfaces to enable secure, scalable interaction with AI modelsImplement Responsible AI best practices aligned with DoD AI Ethical PrinciplesTechnical Leadership & CollaborationMentor and provide technical guidance to junior AI/ML engineers and data scientists.Serve as the technical lead for AI solution architecture, making final determinations on model selection and deployment frameworks.Analyze ML model outputs and translate results for technical and non-technical stakeholdersExplain AI concepts and terminology clearly to cross-functional teamsIdentify low-probability, high-impact risks in ML training data and throughout the AI solution lifespanResearch and evaluate the latest ML and AI tools, techniques, and best practicesWrite and document reproducible, secure code with proper error handlingMission SupportCollaborate with stakeholders to address data privacy, PII, PHI, and data reusability concernsEnsure AI design and development activities are properly documented and updatedConduct hypothesis testing using statistical processesUse knowledge of business processes to create or recommend AI solutionsRequired Skills, Experience & EducationSecurityActive TS security clearance and eligible for SCI and NATO read-on prior to starting workMeet all requirements to receive a privileged user account on a TS/SCI information system (e.g. Army Cloud Computing Service Provider) prior to starting work. The requirements are currently defined in DoDD 8140.01.Security+ or related DoDD 8140-relevant certification (or ability to obtain within 6 months of hire)Education and ExperienceMaster’s degree in Computer Science, Data Science, Software Engineering, Mathematics or Statistics, Computer Engineering, Information Technology or related field and 3+ years of experience in AI/ML engineering, with demonstrable expertise in model deployment and operationalization, orBachelor's degree in Computer Science, Data Science, Software Engineering, Mathematics or Statistics, Computer Engineering, Information Technology or related field and 5+ years of experience in AI/ML engineering, with demonstrable expertise in model deployment and operationalizationHands-on experience with MLOps processes, CI/CD for ML, and containerized deployment environments (Docker, Kubernetes)Knowledge of Responsible AI frameworks and bias mitigation techniquesTechnical SkillsStrong proficiency in machine learning theory, model development, and deploymentExperience integrating AI solutions with LLMs (e.g., OpenAI GPT, Azure OpenAI, AWS Bedrock, or open-source alternatives)Proficiency in Python scripting and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML service models (SaaS, IaaS, PaaS)Understanding of AI security risks, threats, and vulnerabilities, and mitigation strategiesFamiliarity with testing, evaluation, validation, and verification (T&E V&V) for AI systemsAnalytical & Communication SkillsAbility to evaluate ML model effectiveness using appropriate metricsSkill in identifying and mitigating risks across the AI lifecycleStrong technical writing and presentation skillsAbility to tailor technical information to diverse audiencesProfessional Attributes:Judgment – Assessing trade-offs and making informed technical decisionsProblem-solving – Framing complex challenges and developing actionable solutionsExecution orientation – Delivering results in dynamic, fast-paced environmentsInnovation & creativity – Recommending improvements and exploring emerging AI capabilitiesRisk-centered mindset – Understanding threats, vulnerabilities, and mission impactsTrustworthiness – Operating with integrity in highly sensitive environmentsDesired Skills/ExperienceExperience with DoD AI Ethical Principles (responsible, equitable, traceable, reliable, governable)Familiarity with NIST Risk Management Framework (RMF) or cybersecurity compliance standardsExperience in defense or IC AI/ML projectsRelevant certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, TensorFlow Developer)Application Deadline: August 17, 2026#CJPOST#LI-onsiteThe SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.The proposed salary for this position is:$165,000—$180,000 USDAt SMX, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.SMX is an Equal Opportunity employer including disabilities and veterans.Selected applicant may be subject to a background investigation and/or education verification.SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).