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Agentic Jobs in Colorado (NOW HIRING)

EchoStar

Senior Agentic AI Engineer

Englewood, CO

$116K - $158K/yr

The Sr. Agentic AI Engineer role exists to lead technical onboarding of users, teams, and data domains onto EchoStar's enterprise Databricks platform on AWS. This role solves problems in external ...

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Agentic information

What is the difference between Agentic vs Customer Service Representative?

AspectAgenticCustomer Service Representative
Required CredentialsTypically no formal credentials required, but strong communication skills preferredHigh school diploma or equivalent; sometimes additional training or certifications
Work EnvironmentCall centers, online platforms, or in-person settingsCall centers, retail stores, or corporate offices
Industry UsageCustomer support, sales, technical assistanceCustomer support, sales, client relations
Common Search/ComparisonAgentic vs Customer Service Representative

Agentic roles focus on proactive customer engagement and problem-solving, often requiring strong communication skills. Customer Service Representatives handle customer inquiries and support, usually with similar communication requirements but may involve more routine tasks. Both roles are vital in customer-facing industries, but Agentic positions often emphasize initiative and problem resolution.

What are popular job titles related to Agentic jobs in Colorado?

For Agentic jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Agentic jobs in Colorado look for?

The top searched job categories for Agentic jobs in Colorado are:

What cities in Colorado are hiring for Agentic jobs?

Cities in Colorado with the most Agentic job openings:

Agentic jobs near you
Infographic showing various Agentic job openings in Colorado as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Principal Agentic AI Architect - Aurora CO or Meridian, CO

ICR, Inc.

Aurora, CO

$160K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Job description

Principal Agentic AI Architect
Aurora, CO or Meridian, CO
Applications will be accepted on an ongoing basis.
Clearance Requirement: Active TS/SCI with Polygraph (Must be current and transferable)
  • Requires US Citizenship
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 the 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 amp; 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 infrastructure, including secure LLM hosting environment (LLM hosting), identity management system (Identity), 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 amp; 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 communications 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 amp; 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 (Retrieval-Augmented Generation), 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 amp; Context: Demonstrated ability to architect vector databases, graph databases, and hybrid memory systems for maintaining long-term agent context.
  • Security amp; Compliance: Extensive experience implementing Zero Trust architectures and standards-based authentication amp; 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
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, a flexible paid time off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work/military experience, education, training, certifications and work location.
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.

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