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Associate Ai Agent Developer Jobs in Colorado (NOW HIRING)

... Agent Hub: the centralized employee platform for discovering and launching AI agents across Microsoft, Google, and Anthropic tooling What You Bring to the Role: • 10+ years of software engineering ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

Lead Integration Engineer

Littleton, CO · On-site

$110K - $157K/yr

Our business spans satellite television service, streaming and on-demand programming, smart home ... Launch a pilot implementation of an MCP-compliant interface that allows a store AI agent to ...

We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted ... A track record of providing solutions and engaging with technical (e.g developer and architect ...

We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted ... A track record of providing solutions and engaging with technical (e.g developer and architect ...

We are the first to bridge traditional API Management with the new frontier of AI Agent Security ... Developer Experience : You obsess over the DX, treating API contracts and error messages as part of ...

Proficiency in AI Literacy, specifically regarding the integration of AI agent frameworks and large ... DevOps, or Cloud Operations * Required Technical Skills: * Databricks administration and operation ...

Proficiency in AI Literacy, specifically regarding the integration of AI agent frameworks and large ... DevOps, or Cloud Operations * Required Technical Skills: * Databricks administration and operation ...

AI Platform Engineer II

Englewood, CO · On-site

$100K - $136K/yr

Proficiency in AI Literacy, specifically regarding the integration of AI agent frameworks and large ... DevOps, or Cloud Operations * Required Technical Skills: * Databricks administration and operation ...

Senior AI/ML Engineer

Denver, CO · Remote

$90 - $100/hr

The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent ... AWS certification required such as Solutions Architect Associate, Developer Associate, Machine ...

Senior AI/ML Engineer

Almont, CO · Remote

$90 - $100/hr

The role includes LLM orchestration, RAG pipelines, vector database integration, and multi-agent ... AWS certification required such as Solutions Architect Associate, Developer Associate, Machine ...

We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted ... A track record of providing solutions and engaging with technical (e.g developer and architect ...

In this position, you will coordinate cross-functional teams including data scientists, engineers ... AI agent development, ERP advisory) within active engagements * Identify and qualify expansion ...

Own the technical delivery of high-code agent use cases in our AI operating model - from requirements through deployment, monitoring, and iteration. * Collaborate with the AI Automation Engineer ...

Senior Software Engineer

Denver, CO · Remote

$130K - $152K/yr

What You'll Own Claude AI & Agent Leadership (Primary Focus) • Design, build, and maintain Claude-powered skills and agents that automate engineering workflows - not for writing code, but for ...

... Engineering, Finance, People Tech, and Operations to bridge business needs with AI driven solutions ... Hands-on knowledge of AI agent frameworks (for example LangChain, CrewAI, Semantic Kernel, MCP) and ...

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Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Colorado? The most popular types of Ai Agent Developer jobs in Colorado are:
What are popular job titles related to Associate Ai Agent Developer jobs in Colorado? For Associate Ai Agent Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Associate Ai Agent Developer jobs in Colorado look for? The top searched job categories for Associate Ai Agent Developer jobs in Colorado are:
What cities in Colorado are hiring for Associate Ai Agent Developer jobs? Cities in Colorado with the most Associate Ai Agent Developer job openings:
Director, Agentic AI

Director, Agentic AI

TTEC

Englewood, CO • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago


TTEC rating

5.7

Company rating: 5.7 out of 10

Based on 193 frontline employees who took The Breakroom Quiz

352nd of 428 rated business services


Job description

Your potential has a place here with TTEC's award-winning employment experience. As a Director of Agentic AI working Hybrid in Denver, CO, you'll be a part of bringing humanity to business. #experienceTTEC
Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in the United States says it all!
What You'll be Doing:
TTEC's AI & Intelligence pillar is the fastest-moving part of the App Delivery & Automation organization. It spans conversational AI bots deployed across Microsoft Teams, multi-step agentic applications built on Google ADK and the Anthropic Claude API, and the GenAI prototypes that define what the organization builds next. This pillar needs a leader who can do two things simultaneously: ship production AI systems reliably, and think architecturally about how those systems should be designed.
The Director of Agentic AI is that leader. This role carries full delivery ownership for the AI & Intelligence pillar - responsible for the engineers, the roadmap, the quality of what ships, and the relationships with internal stakeholders across TTEC's operations and BPO environment. At the same time, this role carries meaningful architectural authority: setting the design standards for how agentic systems are built, how platforms are integrated, and how AI governance is applied to this pillar's work.
This is not a choose-one role. The best candidate for this position leads a team and architects systems - and understands that in a fast-moving AI organization, those two responsibilities are inseparable. You report directly to the VP of App Delivery & Automation and work in close partnership with the AI Architect and the Director of Automation.
During a Typical Day You'll:
Pillar delivery & team leadership
Own the end-to-end delivery of the AI & Intelligence pillar - including Conversational AI (Copilot Studio bots, Teams integrations), Agentic AI (Google ADK applications), and GenAI Innovation (rapid prototyping, emerging capability evaluation)
Lead, mentor, and grow a team of AI Engineers across the three sub-teams - setting engineering standards, running delivery ceremonies, and building a culture of rigorous, AI-first development
Own the pillar roadmap: translating organizational priorities and internal stakeholder needs into a sequenced, resourced delivery plan with clear outcomes and milestones
Drive adoption and quality of AI systems across TTEC operations - ensuring that what ships is reliable, governable, and genuinely useful to the people and processes it serves
Agentic AI architecture & design
Define and enforce the architectural patterns used to build agentic AI applications across the pillar - including agent orchestration with Google ADK, tool and MCP server design, memory and context management, and multi-agent coordination
Set standards for how the pillar integrates with TTEC's multi-model AI ecosystem - Anthropic Claude, Google Gemini/Vertex AI, and Microsoft Copilot Studio - making principled decisions about platform selection and integration boundaries
Design the interfaces between the AI & Intelligence pillar and the Automation pillar - defining where deterministic RPA/Power Automate workflows hand off to probabilistic AI agents, and ensuring those boundaries are well-governed
Own the pillar's approach to AI evaluation: designing eval frameworks, establishing quality gates, and ensuring that production monitoring is in place before systems go live
AI governance & responsible deployment
Serve as the pillar's voice in TTEC's AI governance process (ARB/SRB/RAIC intake) - ensuring all agentic and conversational AI systems are reviewed at the appropriate risk tier before deployment
Establish and maintain responsible AI design standards for the pillar: hallucination mitigation strategies, output filtering, human-in-the-loop patterns, and escalation design for contact center and BPO environments
Partner with the AI Architect to ensure the pillar's architectural decisions stay consistent with the broader organizational AI architecture - contributing to, and drawing from, shared standards
Innovation & emerging technology
Lead the GenAI Innovation sub-team - maintaining a dedicated prototyping capacity that evaluates new models, frameworks, and patterns before they are needed in production
Continuously evaluate the evolving agentic AI landscape (Google ADK updates, new MCP capabilities, model releases from Anthropic and Google) and translate findings into roadmap decisions
Contribute to TTEC's AI Agent Hub: the centralized employee platform for discovering and launching AI agents across Microsoft, Google, and Anthropic tooling
What You Bring to the Role:
10+ years of software engineering and technical leadership experience, with at least 4 years leading teams that build AI/ML systems, LLM applications, or intelligent automation in production
Deep, hands-on technical expertise in agentic AI - you have personally designed and built multi-step agentic workflows, not just managed teams that did
Demonstrated experience with large language model APIs (Anthropic Claude, Google Gemini, OpenAI, or equivalent) including prompt architecture, function calling, tool use, and production evaluation
Strong working knowledge of Model Context Protocol (MCP) - including designing MCP servers, exposing enterprise systems as tools, and integrating MCP into agent orchestration layers
Experience making architectural decisions across multiple AI platforms simultaneously - understanding the tradeoffs between platforms and applying them to real delivery constraints
Proven ability to lead and develop engineering teams: setting direction, growing individual contributors, and maintaining delivery momentum without sacrificing quality
Strong communication skills with senior leadership and non-technical stakeholders - able to translate complex AI system design into business terms and organizational decisions
Preferred experience
Hands-on experience with Google Agent Development Kit (ADK), LangGraph, CrewAI, or comparable multi-agent orchestration frameworks
Experience building bots or virtual agents in Microsoft Copilot Studio deployed in enterprise Microsoft Teams environments
Familiarity with AI governance frameworks: risk tiering, responsible AI design patterns, human-in-the-loop architecture, and enterprise review processes
Experience in BPO, contact center, or enterprise SaaS environments - understanding the operational and compliance constraints of high-volume AI deployments
Exposure to RPA platforms (Power Automate, UiPath) and experience defining the architectural handoff between deterministic automation and agentic AI
Experience with Azure AI services and Google Vertex AI, including the integration patterns that connect these platforms to enterprise identity and data systems
Prior experience as a technical architect, principal engineer, or in a role that combined delivery leadership with architectural authority
What You Can Expect:
• An annual incentive program
• Medical, dental, and vision
• Tax-advantaged health care accounts
• Financial and income protection benefits
• Paid time off (PTO) and wellness time off
• Tuition reimbursement and access to thousands of free online courses
Visit TTEC Benefits for U.S. Employees | TTEC for more information.
The anticipated range is $170,000-180,000 USD. Actual compensation offers to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
About TTEC
Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you.
TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way.

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