AI Solutions Engineer

DMI • McLean, VA

77d • Remote

About The Position

DMI, LLC is 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.

Requirements

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or related field
• 8+ year of overall experience
• 3+ years of applied AI/ML engineering experience.
• Proven track record in designing, deploying, and scaling AI/ML solutions in production AWS environments .
• Hands-on experience integrating Anthropic’s LLMs (Claude family) or comparable advanced AI platforms into enterprise workflows.
• Strong proficiency in Python and ML frameworks ( TensorFlow, PyTorch, Scikit-learn ).
• Deep expertise with AWS AI/ML ecosystem (SageMaker, S3, Lambda, Redshift, Athena).
• Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow, Spark).
• Experience with databases (SQL, MySQL, PostgreSQL) and data pipeline frameworks .
• Familiarity with enterprise AI standards such as model governance, explainable AI (XAI), data privacy/security regulations (HIPAA, GDPR), and responsible AI principles .
• Strong problem-solving, analytical, and communication skills with the ability to translate AI innovations into actionable business value .
• Successful completion of a Public Trust background investigation and/or a Public Trust clearance.
• Min Citizenship Status Required: GC/US Citizen

Responsibilities

• AI Solution Design & Architecture: Define and implement enterprise-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, ensuring data quality, consistency, and governance in line with industry standards.
• Prototyping & Model Development: Build lightweight prototypes and full-scale models to validate feasibility and demonstrate business impact. Explore advanced AI/ML approaches, including LLMs, generative AI, reinforcement learning, and predictive analytics .
• Model Deployment & MLOps: Deploy and manage models using AWS SageMaker pipelines , containerized environments (Docker, Kubernetes), and MLOps frameworks (MLflow, Airflow) for continuous delivery, monitoring, and lifecycle management.
• Integration of Advanced AI Platforms: Leverage Anthropic’s AI models and 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 in Agile development processes (sprint planning, stand-ups, retrospectives).
• Documentation & Governance: Maintain reproducible workflows, ensure compliance with industry standards and best practices (e.g., FAIR data principles, model governance, and responsible AI), and document end-to-end pipelines.

Benefits

• Convenience/Concierge – Virtual health visits, commuter perks, pet insurance, and entertainment discounts that make life easier.
• Development – Annual performance reviews, tuition assistance, and internal career growth opportunities to help you thrive.
• Financial – Generous 401(k) matches, life and disability insurance, and financial wellness tools to support your future.
• Recognition – Annual awards, service anniversaries, referral bonuses, and peer-to-peer shoutouts that spotlight your achievements.
• Wellness – Healthcare coverage, wellness programs, flu shots, and biometric screenings to support your health.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees