AI Solutions Engineer
Listed on 2025-12-25
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
About DMI
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results.
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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
, containerised 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.
- Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or related field
- 8+ year 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 (
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
.
Successful completion of a Public Trust background investigation and/or a Public Trust clearance.
Min Citizenship Status RequiredGC/US Citizen
Physical RequirementsThere are no physical requirements for this position.
LocationRemote
#LI-SM3
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…
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