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60 Smx Data Software Engineer Jobs Hiring Near You

SMX

Senior Database Developer (5480)

Washington, DC · On-site

$95K - $160K/yr

You will not simply be executing routine O&M; you will actively lead data architecture ... If you are looking to engineer and maintain an enterprise data platform for executive federal ...

SMX

Systems Engineer

Mossville, IL · On-site

The role involves working with hardware and software in HIL (Hardware-in-the-Loop) and SIL ... Data collection and analysis * Root cause analysis and troubleshooting * System design and ...

SMX

Senior Database Developer (5480)

Washington, DC · On-site

$95K - $160K/yr

You will not simply be executing routine O&M; you will actively lead data architecture ... If you are looking to engineer and maintain an enterprise data platform for executive federal ...

SMX

System Security Engineer (5168)

Lexington Park, MD · On-site

$64.50 - $79.25/hr

... authorization(s) and/or certifications. * Lead product specific System Security Engineering ... Review POA&M: ensure awareness of all open findings and identify areas of concern that need to be ...

SMX

System Security Engineer (5168)

Patuxent River, MD · On-site

$64.50 - $79.25/hr

... authorization(s) and/or certifications. * Lead product specific System Security Engineering ... Review POA&M: ensure awareness of all open findings and identify areas of concern that need to be ...

SMX

Cyber Security Engineer (5462)

Hollywood, MD · On-site +1

S. citizenship with the ability to obtain and maintain a Secret or higher security clearance. • ... cloud-security data into GRC (Paramify) and POA&M workflows. • Familiarity with DevSecOps ...

SMX

Senior Database Developer (5480)

Washington, DC · On-site

$120K - $163K/yr

You will not simply be executing routine O&M; you will actively lead data architecture ... If you are looking to engineer and maintain an enterprise data platform for executive federal ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site

$41 - $56/hr

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... data validation * Understanding of Agile/Scrum methodologies and software development lifecycle ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site

$40.75 - $55.50/hr

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... and data validation • Understanding of Agile/Scrum methodologies and software development ...

SMX

Senior Oracle OCI Cloud Engineer

Chesterfield, MO · On-site

Senior Oracle OCI Cloud Engineer Job Location: Richmond, VA (Hybrid) Duration: 11 Months Must-Have ... Oracle REST Data Services (ORDS) 22.x or later * Oracle WebLogic Server 14c (Fusion Middleware ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site +1

$86K - $123K/yr

SMX is seeking a QA Tester/Engineer to ensure the quality, reliability, and performance of ... data validation * Understanding of Agile/Scrum methodologies and software development lifecycle ...

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Infographic showing various Data Software Engineer job openings at Smx in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 78% Physical, 11% Hybrid, and 11% Remote job distribution.

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

SMX

Fort Belvoir, VA • On-site

$118K - $162K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

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 (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 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 across the AI lifecycle
  • Strong technical writing and presentation skills
  • Ability to tailor technical information to diverse audiences

Professional Attributes:
  • Judgment - Assessing trade-offs and making informed technical decisions
  • Problem-solving - Framing complex challenges and developing actionable solutions
  • Execution orientation - Delivering results in dynamic, fast-paced environments
  • Innovation & creativity - Recommending improvements and exploring emerging AI capabilities
  • Risk-centered mindset - Understanding threats, vulnerabilities, and mission impacts
  • Trustworthiness - Operating with integrity in highly sensitive environments

Desired Skills/Experience
  • Experience with DoD AI Ethical Principles (responsible, equitable, traceable, reliable, governable)
  • Familiarity with NIST Risk Management Framework (RMF) or cybersecurity compliance standards
  • Experience in defense or IC AI/ML projects
  • Relevant certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, TensorFlow Developer)

Application Deadline: August 17, 2026
#CJPOST
#LI-onsite
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 & 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 USD
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.
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).

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