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AI Engineer with TSSCI Clearance & Full Scope Polygraph Hybrid role in Annapolis Junction
Job Location:
Job Location:
Howard County, MD - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (Yesterday)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
An active Top Secret/SCI Clearance with a Full Scope Polygraph is required.
This is a hybrid schedule with up to 3 days/week remote and 2 days/week onsite in Annapolis Junction MD.
We have an immediate need for an Artificial Intelligence (AI) Engineer to support the development and sustainment of mission-focused AI capabilities. The AI Engineer will work closely with system and software engineers to design prototype and integrate AI-enabled capabilities into existing software architectures. This role centers on applying existing large language models (LLMs) to real mission workflows rather than training new models. The AI Engineer will build agentic solutions systems of coordinated AI agents and prompts that automate tasks currently performed manually streamline authoring and reporting workflows and enhance the overall effectiveness of intelligence operations.
Responsibilities
Agentic Solution Design & Development:Lead the design and development of AI-driven solutions from conception to deployment building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping writing production-quality code and maintaining deployed AI capabilities.
LLM Integration:Integrate existing foundation models into existing software architectures via APIs and orchestration frameworks selecting the right model and approach for each task rather than building models from scratch.
Prompt Engineering & Workflow Automation:Design test and refine prompts and agent instructions to reliably automate manual tasks and decompose complex mission workflows into discrete steps an agent pipeline can execute.
Evaluation & Reliability:Develop robust testing evaluation and validation strategies for AI-generated outputs ensuring accuracy consistency and appropriate handling of edge cases before outputs reach analysts and reports.
Collaboration & Communication:Serve as a key technical liaison collaborating with cross-functional teams including system engineers software developers and domain experts. Effectively present and articulate recommended AI approaches discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
Continuous Improvement:Stay current with the rapidly evolving LLM and agentic AI landscape (new models orchestration frameworks and tooling) continuously identifying practical opportunities to apply emerging capabilities to the system.
Required Technical Skills
Strong Python development skills with experience writing production-quality maintainable code
Hands-on experience building applications on top of existing LLMs (e.g. via APIs for commercial or self-hosted models)
Experience designing multi-agent or multi-step AI workflows including prompt chaining tool use and agent orchestration (e.g. LangChain LlamaIndex or custom frameworks)
Strong prompt engineering skills and experience evaluating/validating LLM outputs
Experience integrating AI capabilities into existing software architectures (RESTful APIs microservices)
Experience with the Amazon Web Services (AWS) cloud computing platform
Desired Technical Skills
Experience with retrieval-augmented generation (RAG) pipelines and vector databases
Familiarity with LLM observability and evaluation tooling
Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows
Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale
Familiarity with domain knowledge surrounding government agency reporting and dissemination policies
This is a hybrid schedule with up to 3 days/week remote and 2 days/week onsite in Annapolis Junction MD.
We have an immediate need for an Artificial Intelligence (AI) Engineer to support the development and sustainment of mission-focused AI capabilities. The AI Engineer will work closely with system and software engineers to design prototype and integrate AI-enabled capabilities into existing software architectures. This role centers on applying existing large language models (LLMs) to real mission workflows rather than training new models. The AI Engineer will build agentic solutions systems of coordinated AI agents and prompts that automate tasks currently performed manually streamline authoring and reporting workflows and enhance the overall effectiveness of intelligence operations.
Responsibilities
Agentic Solution Design & Development:Lead the design and development of AI-driven solutions from conception to deployment building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping writing production-quality code and maintaining deployed AI capabilities.
LLM Integration:Integrate existing foundation models into existing software architectures via APIs and orchestration frameworks selecting the right model and approach for each task rather than building models from scratch.
Prompt Engineering & Workflow Automation:Design test and refine prompts and agent instructions to reliably automate manual tasks and decompose complex mission workflows into discrete steps an agent pipeline can execute.
Evaluation & Reliability:Develop robust testing evaluation and validation strategies for AI-generated outputs ensuring accuracy consistency and appropriate handling of edge cases before outputs reach analysts and reports.
Collaboration & Communication:Serve as a key technical liaison collaborating with cross-functional teams including system engineers software developers and domain experts. Effectively present and articulate recommended AI approaches discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
Continuous Improvement:Stay current with the rapidly evolving LLM and agentic AI landscape (new models orchestration frameworks and tooling) continuously identifying practical opportunities to apply emerging capabilities to the system.
Required Technical Skills
Strong Python development skills with experience writing production-quality maintainable code
Hands-on experience building applications on top of existing LLMs (e.g. via APIs for commercial or self-hosted models)
Experience designing multi-agent or multi-step AI workflows including prompt chaining tool use and agent orchestration (e.g. LangChain LlamaIndex or custom frameworks)
Strong prompt engineering skills and experience evaluating/validating LLM outputs
Experience integrating AI capabilities into existing software architectures (RESTful APIs microservices)
Experience with the Amazon Web Services (AWS) cloud computing platform
Desired Technical Skills
Experience with retrieval-augmented generation (RAG) pipelines and vector databases
Familiarity with LLM observability and evaluation tooling
Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows
Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale
Familiarity with domain knowledge surrounding government agency reporting and dissemination policies
Required Experience:
Senior IC
About Company
Big Data, Cloud Computing, remote work solutions, analytics, and more! We are a team of expert engineers designing custom solutions for your business needs.
