Senior Generative AI Engineer (Engineer Machine Learning 5) - 26231

Huntington Ingalls Industries, Inc.•Annapolis Junction, MD

17d•Remote

About The Position

HII-Mission Technologies is seeking a Senior Generative AI Engineer to join the team. This will be a remote position, with occasional travel to the team’s office in Annapolis Junction, MD . This role will support the team in creating and managing end-to-end generative AI solutions. The team supports AI and digital modernization for both internal use and for external clients, with applications from intelligence analysis to manufacturing optimization.

Requirements

15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience.
Experience with all of the following:
Programming languages: Python
Containerized development and deployment: Docker, Rancher, and/or K8s.
Cloud engineering: Azure, AWS, or GCP.
Databases: SQL, NoSQL, and/or vector databases.
CI/CD pipeline management.
DevSecOps design/deployment principles.
Hands-on experience with current open-source LLMs and ecosystem tools (e.g., model serving, fine-tuning, prompt engineering, embeddings).
Experience developing generative AI products or platforms, including multimodal use cases (e.g., text, vision, audio, document understanding).
Ability to travel to customer location(s) occasionally with advance notice.
Clearance: Must have the ability to obtain and maintain a Secret clearance.

Nice To Haves

Bachelors in Data Science, Computer Science, Mathematics, or equivalent technologies/experience.
Experience with: UI/UX development: JavaScript (Angular, React).
Backend development: REST API, web apps, microservices.
Experience supporting feature development and maintenance for an enterprise-scale application.
Experience building multi-step agentic workflows and orchestrators using frameworks such as LangChain, LangGraph, LlamaIndex, PromptGraph, or custom in-house pipelines.

Responsibilities

Operational AI Implementation: Research, develop, and apply machine learning, deep learning, and large language model (LLM) techniques for deployment in operational environments.
Full Stack Design and Development: Rapidly design and create prototype applications to demonstrate AI capabilities. Transition prototypes to production by designing and implementing well-architected, scalable software stacks.
Client Engagement: Support meetings with internal clients and external customers as a subject matter expert in AI and advanced software solutions, with a focus on cloud technologies and generative AI. Manage and deliver on multiple concurrent projects across different customer environments. Collaborate across a wide array of individuals at varying levels of technical skills. Effective writing and speaking ability to communicate complex strategies and technical concepts to non-technical stakeholders and leaders.