AI/ML Delivery Engineer
$164,382–$207,000 year
RemoteUnited States
Job Summary
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. Serve as the AI/ML technical authority for cross-functional data science, engineering, platform, security, infrastructure, and business teams, leading architecture reviews and establishing MLOps, LLMOps, and ModelOps practices. Mentor engineers and data scientists while communicating complex AI concepts through clear solution narratives and executive-ready materials. This role supports the NIH mission by delivering secure, scalable, and innovative AI and data solutions that accelerate biomedical research and improve operational efficiency.
Required Qualifications
- NACLC (T3)
- 10 + years of related experience
- Master of Science in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional 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
- Must be able to obtain a Tier 3 Public Trust
- Must be a US Person
- Must Currently Possess: None Clearance Level Must Be Able to Obtain: None
- US Citizenship Required: No
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