AI Solutions Engineer

DMI Mobile Enterprise SolutionsMclean, VA
80d

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 and 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.

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.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Industry

Professional, Scientific, and Technical Services

Education Level

Bachelor's degree

Number of Employees

1,001-5,000 employees

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