Sr. Artificial Intelligence Engineer TS​/SCI Belvoi Security Clearance

Position: Sr. Artificial Intelligence Engineer (5361) (TS/SCI) (Ft. Belvoi with Security Clearance
SMX is seeking a Sr. Artificial Intelligence Engineer. This is a full-time onsite position in Ft. Belvoir, VA.

Essential Duties & Responsibilities AI Model Lifecycle & MLOps
* Design, develop, and deploy machine learning models to achieve organizational mission objectives
* Implement MLOps processes and CI/CD pipelines in containerized or reproducible computing environments to support the full ML lifecycle
* Assess and address limitations of methods to deliver machine learning models in production
* Conduct AI risk assessments to ensure models and solutions are performing as designed
* Monitor, evaluate, and optimize ML model performance using appropriate metrics LLM Integration & Application Development
* Integrate AI solutions with cloud and enterprise IT infrastructure
* Design and implement AI-enabled applications leveraging Large Language Models (LLMs) and foundation models
* Automate development, testing, security, and deployment of AI/ML-enabled software
* Develop APIs and interfaces to enable secure, scalable interaction with AI models
* Implement Responsible AI best practices aligned with DoD AI Ethical Principles Technical Leadership & Collaboration
* Mentor 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 stakeholders
* Explain AI concepts and terminology clearly to cross-functional teams
* Identify low-probability, high-impact risks in ML training data and throughout the AI solution lifespan
* Research and evaluate the latest ML and AI tools, techniques, and best practices
* Write and document reproducible, secure code with proper error handling Mission Support
* Collaborate with stakeholders to address data privacy, PII, PHI, and data reusability concerns
* Ensure AI design and development activities are properly documented and updated
* Conduct hypothesis testing using statistical processes
* Use knowledge of business processes to create or recommend AI solutions Required Skills, Experience & Education Security
* Active TS security clearance and eligible for SCI and NATO read-on prior to starting work
* Meet 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 Experience
* Master'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, or
* Bachelor'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 operationalization
* Hands-on experience with MLOps processes, CI/CD for ML, and containerized deployment environments (Docker, Kubernetes)
* Knowledge of Responsible AI frameworks and bias mitigation techniques Technical Skills
* Strong proficiency in machine learning theory, model development, and deployment
* Experience integrating AI solutions with LLMs (e.g., OpenAI GPT, Azure OpenAI, AWS Bedrock, or open-source alternatives)
* Proficiency in Python scripting and ML frameworks (Tensor Flow, 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 strategies
* Familiarity with testing, evaluation, validation, and verification (T&E V&V) for AI systems Analytical & Communication Skills
* Ability to evaluate ML model effectiveness using appropriate metrics
* Skill in identifying and mitigating risks…