AI Solutions Engineer
Listed on 2025-12-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
About The Opportunity
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.
Duties And 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 Sage Maker 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.
Education and Years of Experience: Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or related field; 8+ years of overall experience with 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.
Required And Desired Skills/Certifications- Strong proficiency in Python and ML frameworks (Tensor Flow, PyTorch, Scikit-learn).
- Deep expertise with AWS AI/ML ecosystem (Sage Maker, S3, Lambda, Redshift, Athena).
- Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow, Spark).
- Experience with databases (SQL, MySQL, Postgre
SQL) 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.
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.
Working At DMIDMI 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 for Our Customers – We are relentless about delivering value.
- Think Bold, Act Smart – We innovate with purpose.
- Win Together – We collaborate and celebrate our success.
These values aren’t just ideals—they show up in how we support every part of your well-being:
- Convenience/Concierge – Virtual health visits, commuter perks, pet insurance, and entertainment discounts that make life easier.
- Development – Annual performance reviews, tuition assistance, and…
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