AI/ML Delivery Engineer

Responsibilities for this Position

Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ224095

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
NACLC (T3)

Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:
Analytics, End-to-End Testing, Solution Architecture
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
No

Job Description:

The AI/ML Delivery Engineer is a hands-on senior practitioner who designs, builds, and scales enterprise AI, ML, and data products across cloud environments. This role combines deep engineering expertise with solution architecture, delivery leadership, and executive-level communication. This role supports the NIH mission by delivering secure, scalable, and innovative AI and data solutions that accelerate biomedical research, improve operational efficiency, and enable data-driven decision-making to advance human health.

MEANINGFUL WORK AND PERSONAL IMPACT

The ideal candidate can move from strategy to production implementation across intelligent search, generative AI chat, agentic workflows, predictive ML, computer vision, and medical AI imaging. They bridge data science, software engineering, platform engineering, and security to deliver robust, governed, cost-aware, fit-for-mission AI solutions.

Solution Design and Delivery

Architect and deliver end-to-end AI/ML and generative AI solutions across the full lifecycle, including data integration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.

Design scalable, secure, and governed AI/ML architectures that support enterprise data management, cloud-native services, distributed computing, and high-performance workloads.

Develop and deploy production-ready AI solutions using modern techniques for large language models, intelligent search, workflow automation, model evaluation, monitoring, and continuous optimization.

Integrate enterprise AI and cloud services with organizational data platforms, security controls, governance frameworks, and operational processes.

Deliver AI and machine learning solutions across a variety of domains, including natural language processing, computer vision, predictive analytics, intelligent search, multimodal AI, and other mission-focused applications, using industry-standard frameworks and tools.

Design secure application programming interfaces (APIs), integration services, data pipelines, and orchestration workflows that enable AI capabilities to be reliably consumed by enterprise systems and end users.

Technical Leadership, Governance, and Delivery Excellence

Serve as the AI/ML technical authority for cross-functional data science, engineering, platform, security, infrastructure, and business teams.

Lead architecture reviews, AI readiness assessments, performance benchmarking, and infrastructure trade-off analysis for large-scale cloud, GPU, and distributed data workloads.

Establish MLOps, LLMOps, and ModelOps practices for CI/CD, experiment tracking, model registry, prompt/model versioning, automated testing, deployment promotion, rollback, drift/quality monitoring, lineage, and cost optimization.

Define responsible AI controls for privacy, IAM, key management, audit logging, PHI/PII handling, explain ability, model cards, bias/risk assessment, human oversight, and agentic guardrails.

Mentor engineers and data scientists while communicating complex AI concepts through clear solution narratives, architecture diagrams, demonstrations, and executive-ready materials.

Support solutioning activities by shaping technical approaches, estimating delivery patterns, and contributing to client responses.

WHAT YOU'LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT. The AI Engineer Sr Principal must have:

Education : Master of Science in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional experience.

Experience : 10+ years of related experience

Hands-on experience with modern enterprise data platforms and cloud-native data architectures, including distributed data processing, data governance, machine learning lifecycle management, and batch and streaming data pipelines.

Production experience developing, deploying, and supporting AI/ML and generative AI solutions, including intelligent search, large language model (LLM) applications, workflow automation, model serving, evaluation, monitoring, and continuous improvement.

Experience with modern machine learning and deep learning frameworks, libraries, and tools for developing, training, evaluating, and deploying AI/ML solutions.

Experience designing, deploying, and managing AI/ML solutions in one or more major cloud environments, including cloud-native AI services, identity and access management, networking, security, and infrastructure.

Experience working with large, complex, sensitive, or regulated datasets, including data integration, migration, quality management, analytics, visualization, and governance in government, healthcare, or other regulated environments.

Excellent written and verbal communication skills, with the ability to collaborate effectively with technical teams, business stakeholders, and executive leadership.

Security clearance level : Must be able to obtain a Tier 3 Public Trust
Must be a US Person

This position is fully remote; If selected, travel to NIH at applicant's expense will be required for onboarding.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#GDITHealth

#GDITFedHealthJobs

The likely salary range for this position is $164,382 - $207,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc .

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI285870130

The AI/ML Delivery Engineer is a hands-on senior practitioner who designs, builds, and scales enterprise AI, ML, and data products across cloud environments. This role combines deep engineering expertise with solution architecture, delivery leadership, and executive-level communication. This role supports the NIH mission by delivering secure, scalable, and innovative AI and data solutions that accelerate biomedical research, improve operational efficiency, and enable data-driven decision-making to advance human health.

MEANINGFUL WORK AND PERSONAL IMPACT


The ideal candidate can move from strategy to production implementation across intelligent search, generative AI chat, agentic workflows, predictive ML, computer vision, and medical AI imaging. They bridge data science, software engineering, platform engineering, and security to deliver robust, governed, cost-aware, fit-for-mission AI solutions.



Solution Design and Delivery


Architect and deliver end-to-end AI/ML and generative AI solutions across the full lifecycle, including data integration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.


Design scalable, secure, and governed AI/ML architectures that support enterprise data management, cloud-native services, distributed computing, and high-performance workloads.


Develop and deploy production-ready AI solutions using modern techniques for large language models, intelligent search, workflow automation, model evaluation, monitoring, and continuous optimization.


Integrate enterprise AI and cloud services with organizational data platforms, security controls, governance frameworks, and operational processes.


Deliver AI and machine learning solutions across a variety of domains, including natural language processing, computer vision, predictive analytics, intelligent search, multimodal AI, and other mission-focused applications, using industry-standard frameworks and tools.


Design secure application programming interfaces (APIs), integration services, data pipelines, and orchestration workflows that enable AI capabilities to be reliably consumed by enterprise systems and end users.



Technical Leadership, Governance, and Delivery Excellence


Serve as the AI/ML technical authority for cross-functional data science, engineering, platform, security, infrastructure, and business teams.


Lead architecture reviews, AI readiness assessments, performance benchmarking, and infrastructure trade-off analysis for large-scale cloud, GPU, and distributed data workloads.


Establish MLOps, LLMOps, and ModelOps practices for CI/CD, experiment tracking, model registry, prompt/model versioning, automated testing, deployment promotion, rollback, drift/quality monitoring, lineage, and cost optimization.


Define responsible AI controls for privacy, IAM, key management, audit logging, PHI/PII handling, explain ability, model cards, bias/risk assessment, human oversight, and agentic guardrails.


Mentor engineers and data scientists while communicating complex AI concepts through clear solution narratives, architecture diagrams, demonstrations, and executive-ready materials.


Support solutioning activities by shaping technical approaches, estimating delivery patterns, and contributing to client responses.


WHAT YOU'LL NEED TO SUCCEED


Bring your expertise and drive for innovation to GDIT. The AI Engineer Sr Principal must have:



Education : Master of Science in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional experience.



Experience : 10+ years of related experience


Hands-on experience with modern enterprise data platforms and cloud-native data architectures, including distributed data processing, data governance, machine learning lifecycle management, and batch and streaming data pipelines.


Production experience developing, deploying, and supporting AI/ML and generative AI solutions, including intelligent search, large language model (LLM) applications, workflow automation, model serving, evaluation, monitoring, and continuous improvement.


Experience with modern machine learning and deep learning frameworks, libraries, and tools for developing, training, evaluating, and deploying AI/ML solutions.


Experience designing, deploying, and managing AI/ML solutions in one or more major cloud environments, including cloud-native AI services, identity and access management, networking, security, and infrastructure.


Experience working with large, complex, sensitive, or regulated datasets, including data integration, migration, quality management, analytics, visualization, and governance in government, healthcare, or other regulated environments.


Excellent written and verbal communication skills, with the ability to collaborate effectively with technical teams, business stakeholders, and executive leadership.



Security clearance level : Must be able to obtain a Tier 3 Public Trust
Must be a US Person


This position is fully remote; If selected, travel to NIH at applicant's expense will be required for onboarding.


GDIT IS YOUR PLACE


At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace


OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.