Principal Agentic AI Architect - Aurora CO or Meridian, CO

Principal Agentic AI Architect Location: Aurora, CO or Meridian, CO Job Id: 653 Clearance Requirement: Active TS/SCI with Polygraph (Must be current and transferable)

POSITION OVERVIEW

We are seeking a visionary Principal Agentic AI Architect to lead the design and implementation of next‑generation AI efforts for the Intelligence Community. In this role, you will define the architectural blueprint for a secure, multi‑agent ecosystem that transforms natural language intent into auditable, multi‑step operational workflows. You will not just build models; you will engineer collaborative agent teams, governance loops, and dynamic tool integration frameworks using open standards (MCP, A2A). The ideal candidate possesses deep expertise in enterprise agent frameworks, distributed systems, and Zero Trust security, with a proven track record of deploying autonomous agents in high‑stakes, classified environments.

KEY RESPONSIBILITIES

Architectural Leadership: Define the end‑to‑end architecture, leveraging enterprise agent frameworks to enable dynamic, scalable multi‑agent teams. Agentic Orchestration: Design complex reasoning loops where specialized agents collaborate, manage shared memory/context, and execute tasks autonomously while maintaining human‑in‑the‑loop control. Governance & Safety: Engineer and enforce rigorous quality assurance (groundedness, safety, compliance) prior to result delivery, including automated rework loops. Integration Strategy: Architect the Agent Gateway and Tool Registries to facilitate secure, dynamic discovery and execution of external tools via Model Context Protocol (MCP) and Agent‑to‑Agent (A2A) standards. Infrastructure Alignment: Lead integration efforts with an enterprise infrastructure platform, including secure LLM hosting environment, identity management system, and serverless compute environments. Context Management: Develop robust strategies for short‑term and long‑term memory management to prevent context overflow in complex, multi‑turn missions. Observability & Ops: Implement comprehensive tracing and metrics to provide full visibility into agent decision paths, tool usage, and lifecycle health. Mentorship: Guide a team of AI engineers and data scientists, fostering a culture of innovation, security‑first thinking, and technical excellence. Communication: Primary interface with Government customers on technology, roadmaps, and implementation details. Strong communication and briefing skills and able to communicate complex Agentic AI topics to a non‑technical customer. Agility: Flexibility and ability to adapt to evolving requirements and shifting priorities while effectively balancing multiple responsibilities.

REQUIRED SKILLSETS & QUALIFICATIONS

Education Required: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Distributed Systems, or a related technical field. Substitution: Equivalent practical experience (12+ years) in AI architecture and system design may substitute for advanced degrees. Core Technical Competencies (Must‑Have) Agentic Frameworks: Deep, hands‑on expertise with enterprise agent frameworks. Must demonstrate understanding of agent state management, handoffs, and collaborative reasoning. LLM Operations: Proven experience deploying and optimizing LLMs in production, including prompt engineering, RAG, and model switching strategies. Integration Protocols: Expert‑level knowledge of MCP and emerging A2A standards. Experience building custom connectors and gateways is essential. Distributed Systems: Strong background in microservices architecture, event‑driven design, and containerization (Kubernetes/Docker). Memory & Context: Demonstrated ability to architect vector databases, graph databases, and hybrid memory systems for maintaining long‑term agent context. Security & Compliance: Extensive experience implementing Zero Trust architectures and standards‑based authentication & access controls in high‑security environments. Experience Requirements Minimum 10+ years of total software engineering experience. Minimum 5+ years specifically focused on AI/ML system architecture. Minimum 3+ years designing and deploying autonomous or semi‑autonomous agent systems in production environments. Demonstrated experience working within the U.S. Intelligence Community (IC) or Department of Defense (DoD) on classified programs (TS/SCI). Preferred Skills (Nice‑to‑Have) Experience with enterprise infrastructure platform ecosystem tools (secure LLM hosting environments, identity management systems). Contributions to open‑source AI projects or standards bodies (e.g., contributing to MCP specs). Experience with Agents‑as‑Code (AaaC) paradigms. Proficiency in Python, Go, or Rust for high‑performance agent runtime development. Salary Range $160,000 ‑ $210,000 Employee Benefits ICR is an employee‑owned company that offers a comprehensive benefits package designed to meet the needs of our employees and their families. In addition to the industry’s most competitive salaries, we offer each employee equity in their company, a generous retirement plan, company‑paid health care benefits, and a flexible paid time off policy. ICR funds a retirement account for every employee at an additional 25% of your base salary. These funds are deposited in a tax‑deferred account, with no vesting period, that allows you to decide on the investment strategy best for you. ICR also funds an Individual Benefits Account (IBA) for every employee at an additional 25% of your base salary. These funds are available immediately and can be used to reimburse expenses such as health insurance, medical expenses, paid time off, elected training, and an array of other qualified pre‑tax expenses. Equal Opportunity Employer Statement ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor. #J-18808-Ljbffr ICR, Inc.