AI Platform Architect – Enterprise, Multi‑Platform

TTEC; Englewood (CO); Hybrid; USD 150,000 - 180,000; Full time

Job summary

TTEC is seeking an AI Architect in the Denver metro area to lead the design of multi-model AI platforms spanning Automation, AI & Intelligence, and Product Engineering. This hands-on role sets architectural standards, reviews implementations, prototypes patterns, and ensures consistency across pillars.

You will work directly with senior leaders, define governance for AI, risk, data handling, and observability, and drive architectural decisions in a fast-paced, enterprise environment.

Qualifications

• 12+ years of software and systems architecture experience, with at least 4 years focused on AI/ML systems, LLM application architecture, or intelligent automation at enterprise scale.
• Deep, hands‑on experience with large language model APIs and agent frameworks — you have built production agentic systems, not just evaluated them.
• Demonstrated ability to architect across multiple AI platforms simultaneously (e.g., Anthropic + Google + Microsoft) and make principled decisions about where each platform fits.
• 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 designing AI governance frameworks: risk tiering, review processes, responsible AI standards, and human‑in‑the‑loop patterns for enterprise deployments.
• Ability to operate at multiple levels of abstraction — from whiteboard architecture to working prototype — without losing sight of either.
• Strong communication skills with both technical and non‑technical audiences; comfortable presenting architectural recommendations to senior leadership.

Responsibilities

• Define and own TTEC's multi-model AI platform architecture across Anthropic Claude, Google Gemini / Vertex AI, and Microsoft Copilot Studio — including model selection criteria, API integration patterns, and platform governance boundaries
• Establish standards for how agents are built and composed across Google ADK and MCP — including tool design, memory and context management, orchestration patterns, and agent‑to‑agent communication
• Own the architectural decisions that govern how AI outputs are evaluated, monitored, and improved in production — including eval frameworks, observability instrumentation, and drift detection
• Cross‑pillar technical coherence — ensure consistent integration patterns, data contracts, and security postures across pillars
• Design interfaces between deterministic automation and probabilistic AI systems — defining handoffs, error propagation, and human-in-the-loop
• Maintain a living architecture reference for how AI systems connect and evolve over time
• Define and own TTEC's technical AI governance standards: prompt architecture guidelines, responsible AI design patterns, data handling requirements, and review criteria
• Establish a tiered AI system risk approach and lead architectural reviews for new AI initiatives
• Lead architectural reviews and serve as the technical decision‑maker within governance intake processes
• Prototype architectural patterns with working PoCs and translate findings into roadmaps
• Contribute to TTEC's AI Agent Hub architecture for cross‑platform agent discovery and deployment
• Provide guidance in RAIC/ARB intake processes and ensure architecture perspectives are represented
• Work with VP and pillar leads in a hybrid Denver setting; model daily use of Claude and other AI tools

Skills

AI/ML systems

LLM APIs

Agent frameworks

Multi-model AI platforms

Architectural leadership

Cross-pillar integration

Strong communication skills

Tools

Google ADK

LangGraph

MCP (Model Context Protocol)

Job description

TTEC is seeking an AI Architect in the Denver metro area to lead the design of multi-model AI platforms spanning Automation, AI & Intelligence, and Product Engineering. This hands-on role sets architectural standards, reviews implementations, prototypes patterns, and ensures consistency across pillars.

You will work directly with senior leaders, define governance for AI, risk, data handling, and observability, and drive architectural decisions in a fast-paced, enterprise environment.