AI Solutions Engineer

About DMI

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.

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DMI, LLCis seeking an AI Solutions Engineer to join us. The ideal candidate will design, build, and deploy AI/ML solutions for Federal agencies, leveraging cloud platforms and cutting-edge data science methodologies.

Duties and Responsibilities:

• AI Solution Design & Architecture: Define and implemententerprise-grade AI solution frameworks, applying best practices for scalability, adaptability, and integration into existing business systems.
• Data Engineering & Preprocessing: Collect, clean, and preprocess structured and unstructured data from multiple sources, ensuringdata quality, consistency, and governancein line with industry standards.
• Prototyping & Model Development: Buildlightweight prototypesand full-scale models to validate feasibility and demonstrate business impact. Explore advanced AI/ML approaches, includingLLMs, generative AI, reinforcement learning, and predictive analytics.
• Model Deployment & MLOps: Deploy and manage models usingAWS Sage Maker pipelines, containerized environments (Docker, Kubernetes), andMLOps frameworks(MLflow, Airflow) for continuous delivery, monitoring, and lifecycle management.
• Integration of Advanced AI Platforms: LeverageAnthropic’s AI modelsand other cutting-edge LLMs to enable intelligent document analysis, conversational AI, and adaptive decision-support systems.
• Performance Monitoring & Optimization: Conduct experiments, evaluate performance metrics, and iterate to improve model accuracy, robustness, explainability, and efficiency.
• Collaboration & Delivery: Work closely with cross-functional teams, engage stakeholders to capture multi-dimensional requirements, and participate inAgile development processes(sprint planning, stand-ups, retrospectives).
• Documentation & Governance: Maintain reproducible workflows, ensure compliance withindustry standards and best practices (e.g., FAIR data principles, model governance, and responsible AI), and document end-to-end pipelines.

Education and Years of Experience:

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or related field
• 8+ year of overall experience3+ years of applied AI/ML engineering experience.
• Proven track record indesigning, deploying, and scaling AI/ML solutions in production AWS environments.
• Hands-on experience integratingAnthropic’s LLMs(Claude family) or comparable advanced AI platforms into enterprise workflows.

Required and Desired Skills/Certifications:

• Strong proficiency inPythonand ML frameworks (Tensor Flow, PyTorch, Scikit-learn).
• Deep expertise withAWS AI/ML ecosystem(Sage Maker, S3, Lambda, Redshift, Athena).
• Familiarity withMLOps tools(Docker, Kubernetes, MLflow, Airflow, Spark).
• Experience withdatabases(SQL, MySQL, Postgre
  
  SQL) anddata pipeline frameworks.
• Familiarity withenterprise AI standardssuch asmodel governance, explainable AI (XAI), data privacy/security regulations (HIPAA, GDPR), and responsible AI principles.
• Strong problem-solving, analytical, and communication skills with the ability totranslate AI innovations into actionable business value.

Additional Requirements:
Successful completion of a Public Trust background investigation and/or a Public Trust clearance.

Min Citizenship Status Required: GC/US Citizen

Physical Requirements: There are no physical requirements for this position.

Location:
Mclean, VA Hybrid (1-2 days in Office) Only Washington DC DMV area candidates.

DMI is a diverse, prosperous, and rewarding place to work. Our culture is shaped by five core values that guide how we work, grow, and succeed together:

• Do What’s Right– We lead with honesty and integrity.
• Own the Outcome– We take responsibility and deliver.
• Deliver…