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AI Solutions Engineer

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: DMI
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below

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.
Qualifications

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 DMI

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 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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