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

smxtech
Fort Belvoir3d ago
Seniority
Senior

About the role

<p>SMX is seeking a <strong>Sr. Artificial Intelligence Engineer.</strong></p> <p><strong>This is a full-time onsite position in Ft. Belvoir, VA.</strong></p> <p><strong>Essential Duties &amp; Responsibilities</strong></p> <h2><span style="font-size: 12pt;">AI Model Lifecycle &amp; MLOps</span></h2> <ul> <li>Design, develop, and deploy machine learning models to achieve organizational mission objectives</li> <li>Implement MLOps processes and CI/CD pipelines in containerized or reproducible computing environments to support the full ML lifecycle</li> <li>Assess and address limitations of methods to deliver machine learning models in production</li> <li>Conduct AI risk assessments to ensure models and solutions are performing as designed</li> <li>Monitor, evaluate, and optimize ML model performance using appropriate metrics</li> </ul> <h2><span style="font-size: 12pt;">LLM Integration &amp; Application Development</span></h2> <ul> <li>Integrate AI solutions with cloud and enterprise IT infrastructure</li> <li>Design and implement AI-enabled applications leveraging Large Language Models (LLMs) and foundation models</li> <li>Automate development, testing, security, and deployment of AI/ML-enabled software</li> <li>Develop APIs and interfaces to enable secure, scalable interaction with AI models</li> <li>Implement Responsible AI best practices aligned with DoD AI Ethical Principles</li> </ul> <h2><span style="font-size: 12pt;">Technical Leadership &amp; Collaboration</span></h2> <ul> <li>Mentor and provide technical guidance to junior AI/ML engineers and data scientists.</li> <li>Serve as the technical lead for AI solution architecture, making final determinations on model selection and deployment frameworks.</li> <li>Analyze ML model outputs and translate results for technical and non-technical stakeholders</li> <li>Explain AI concepts and terminology clearly to cross-functional teams</li> <li>Identify low-probability, high-impact risks in ML training data and throughout the AI solution lifespan</li> <li>Research and evaluate the latest ML and AI tools, techniques, and best practices</li> <li>Write and document reproducible, secure code with proper error handling</li> </ul> <h2><span style="font-size: 12pt;">Mission Support</span></h2> <ul> <li>Collaborate with stakeholders to address data privacy, PII, PHI, and data reusability concerns</li> <li>Ensure AI design and development activities are properly documented and updated</li> <li>Conduct hypothesis testing using statistical processes</li> <li>Use knowledge of business processes to create or recommend AI solutions</li> </ul> <p><strong>Required Skills, Experience &amp; Education</strong></p> <p>Security</p> <ul> <li>Active TS security clearance and eligible for SCI and NATO read-on prior to starting work</li> <li>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.</li> <li>Security+ or related DoDD 8140-relevant certification (or ability to obtain within 6 months of hire)</li> </ul> <p>Education and Experience</p> <ul> <li>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</li> <li>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</li> <li>Hands-on experience with MLOps processes, CI/CD for ML, and containerized deployment environments (Docker, Kubernetes)</li> <li>Knowledge of Responsible AI frameworks and bias mitigation techniques</li> </ul> <p>Technical Skills</p> <ul> <li>Strong proficiency in machine learning theory, model development, and deployment</li> <li>Experience integrating AI solutions with LLMs (e.g., OpenAI GPT, Azure OpenAI, AWS Bedrock, or open-source alternatives)</li> <li>Proficiency in Python scripting and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)</li> <li>Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML service models (SaaS, IaaS, PaaS)</li> <li>Understanding of AI security risks, threats, and vulnerabilities, and mitigation strategies</li> <li>Familiarity with testing, evaluation, validation, and verification (T&amp;E V&amp;V) for AI systems</li> </ul> <p>Analytical &amp; Communication Skills</p> <ul> <li>Ability to evaluate ML model effectiveness using appropriate metrics</li> <li>Skill in identifying and mitigating risks across the AI lifecycle</li> <li>Strong technical writing and presentation skills</li> <li>Ability to tailor technical information to diverse audiences</li> </ul> <p>Professional Attributes:</p> <ul> <li>Judgment – Assessing trade-offs and making informed technical decisions</li> <li>Problem-solving – Framing complex challenges and developing actionable solutions</li> <li>Execution orientation – Delivering results in dynamic, fast-paced environments</li> <li>Innovation &amp; creativity – Recommending improvements and exploring emerging AI capabilities</li> <li>Risk-centered mindset – Understanding threats, vulnerabilities, and mission impacts</li> <li>Trustworthiness – Operating with integrity in highly sensitive environments</li> </ul> <p><strong>Desired Skills/Experience</strong></p> <ul> <li>Experience with DoD AI Ethical Principles (responsible, equitable, traceable, reliable, governable)</li> <li>Familiarity with NIST Risk Management Framework (RMF) or cybersecurity compliance standards</li> <li>Experience in defense or IC AI/ML projects</li> <li>Relevant certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, TensorFlow Developer)</li> </ul> <p>&nbsp;</p> <p>Application Deadline: August 17, 2026</p> <p>#CJPOST</p> <p>#LI-onsite</p> <p>&nbsp;</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <hr> <p><span style="font-size: 16px;">The 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 &amp; development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.</span></p></div><div class="title">The proposed salary for this position is:</div><div class="pay-range"><span>$165,000</span><span class="divider">&mdash;</span><span>$180,000 USD</span></div></div></div><div class="content-conclusion"><p>&nbsp;</p> <p>At 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.</p> <p>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.</p> <p>SMX is an Equal Opportunity employer including disabilities and veterans.</p> <p><span data-teams="true"><span id="message-body-1758638857922" class="fui-ChatMyMessage__body rcngbzt ___eyw0iv0 f10pi13n ftqa4ok f2hkw1w f8hki3x f1d2448m f1bjia2o ffh67wi f1j6vpng f1pniga2 f987i1v f1ffjurs f15bsgw9 f14e48fq f18yb2kv fd6o370 ffwy5si f3znvyf f57olzd f4stah7 f480a47 fs1por5 fk6fouc figsok6 fkhj508 f19n0e5 f9ijwd5 fzqqayd f10ostut f1o0qvyv f9ggezi f1xp5gbu f150uoa4 ffyari3 fo7qwa0 f16xkysk fxowb0n f11ghf3q f13aoclr flypziy f10kwr27 fquw1qa fftr39l f13lathq f15hsm81 f2ss68y ffb60jq f8nuap2 f13nk4fk f7jacry fq08z5q fd9af6s fr74w9q fcl9uv6 f13sm7pj f1u6qqly f16wpxbl faim3u9 f6cs3qo fa2w2z3 fd39nx6 f10gn8j9 frcqmxy f1w9ws4k f1ddxkqj fd10euv fvuz61 f1nbc6gw"><span id="content-1758638857922" class="fui-Primitive ___16zla5h f1oy3dpc fqtknz5 fyvcxda"></span></span></span></p> <div id="x_Signature"></div> <p>Selected applicant may be subject to a background investigation and/or education verification.</p> <p>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).</p></div>

Perks & benefits

  • Medical Insurance
  • Paid Time Off

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