Poly

Parsons Corporation•Minneapolis, MN

1d•$176,900 - $332,400

About The Position

Parsons is hiring a Senior AI/ML Engineer to support the United States Cyber Command (USCC) and its AI Enterprise capability. The team provides a central platform for moving AI solutions from prototype to secure, governed, enterprise-scale services. The engineer will design and integrate models, agents, and AI workflows for that platform, supporting mission teams and USCC operations. The role includes embedded operations support, capability integration, and rapid prototyping of AI/ML-enabled tools. It also involves building and evaluating agent orchestration, model routing, RAG, tool integrations, and governance capabilities, while translating research and prototypes into production-grade solutions. The position requires an active Top Secret SCI clearance with polygraph.

Requirements

Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 15+ years of experience; additional years of experience may be considered in lieu of a degree.
Active TS/SCI clearance with polygraph.
Advanced proficiency in Python for AI/ML application development.
Demonstrated experience building or integrating LLM- or agent-based systems in production.
Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering.
Ability to manage competing priorities in fast-paced mission environments and identify or escalate operational risks early.

Nice To Haves

Master's degree and 12+ years of relevant experience.
Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments.
Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit.
Experience with model inference and serving platforms such as NVIDIA NIM, vLLM, Ollama, or LiteLLM.
Experience with MCP (Model Context Protocol) or similar tool-broker and integration standards.
Experience with AI evaluation frameworks, model benchmarking, and observability (logs, metrics, and traces) for AI workloads.
Experience supporting USCYBERCOM, NSA, or DoD AI/cyber mission environments.

Responsibilities

Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools supporting the customer.
Design and integrate LLM and agent orchestration workflows using frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
Tune model gateway routing to select, evaluate, and optimize frontier and open-weight models for cost, performance, and mission fit.
Develop and integrate RAG pipelines, vector databases, and memory services to provide agents with mission knowledge and context.
Implement MCP-based tool-broker integrations so agents can securely access enterprise tools and data.
Evaluate, benchmark, and tune models and agent behaviors; build automated evaluation pipelines to track quality, safety, and performance.
Partner with data scientists and mission analysts to turn research and prototypes into production-grade AI capabilities.
Implement AI governance guardrails, including content and safety filters, policy enforcement, and approval gates.
Document model and agent architectures and evaluation results for reuse.
Research and evaluate emerging LLM, agent, and AI tools to keep the command's AI capability current and adaptable.