DMI, LLC is seeking an AI Solutions Engineer to design, build, and deploy AI/ML solutions for Federal agencies, leveraging cloud platforms and cutting-edge data science methodologies.
Requirements
- 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.
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.
- 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.
Other
- 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).
- 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
- Location: Remote
