DMI
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. Learn more at www.dminc.com
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 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.
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+ year of overall experience3+ 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 ( 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 .
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 internal career growth opportunities to help you thrive.
Financial
– Generous 401(k) matches, life and disability insurance, and financial wellness tools to support your future.
Recognition
– Annual awards, service anniversaries, referral bonuses, and peer-to-peer shoutouts that spotlight your achievements.
Wellness
– Healthcare coverage, wellness programs, flu shots, and biometric screenings to support your health.
DMI values employees for their talents and contributions, and we take pride in helping our customers achieve their goals. Because when we live our values, we all win together.
***************** No Agencies Please *****************
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.
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 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.
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+ year of overall experience3+ 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 ( 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 .
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 internal career growth opportunities to help you thrive.
Financial
– Generous 401(k) matches, life and disability insurance, and financial wellness tools to support your future.
Recognition
– Annual awards, service anniversaries, referral bonuses, and peer-to-peer shoutouts that spotlight your achievements.
Wellness
– Healthcare coverage, wellness programs, flu shots, and biometric screenings to support your health.
DMI values employees for their talents and contributions, and we take pride in helping our customers achieve their goals. Because when we live our values, we all win together.
***************** No Agencies Please *****************
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.