AI/ML Delivery Engineer
Company: General Dynamics Information Technology
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-07-16
About this role
**Job Description:
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
Skills:
Job Qualifications:
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...