AI Solutions Engineer

DMI • Tysons, VA

82d

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+ years 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.

Nice To Haves

• Successful completion of a Public Trust background investigation and/or a Public Trust clearance.
• Min Citizenship Status Required: GC/US Citizen.

Responsibilities

• Define and implement enterprise-grade AI solution frameworks, applying best practices for scalability, adaptability, and integration into existing business systems.
• Collect, clean, and preprocess structured and unstructured data from multiple sources, ensuring data quality, consistency, and governance in line with industry standards.
• 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.
• Deploy and manage models using AWS SageMaker pipelines, containerized environments (Docker, Kubernetes), and MLOps frameworks (MLflow, Airflow) for continuous delivery, monitoring, and lifecycle management.
• Leverage Anthropic’s AI models and other cutting-edge LLMs to enable intelligent document analysis, conversational AI, and adaptive decision-support systems.
• Conduct experiments, evaluate performance metrics, and iterate to improve model accuracy, robustness, explainability, and efficiency.
• Work closely with cross-functional teams, engage stakeholders to capture multi-dimensional requirements, and participate in Agile development processes (sprint planning, stand-ups, retrospectives).
• 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

• Virtual health visits, commuter perks, pet insurance, and entertainment discounts.
• Annual performance reviews, tuition assistance, and internal career growth opportunities.
• Generous 401(k) matches, life and disability insurance, and financial wellness tools.
• Annual awards, service anniversaries, referral bonuses, and peer-to-peer shoutouts.
• Healthcare coverage, wellness programs, flu shots, and biometric screenings.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree