Hiring: AI Architect Company: TTEC Location: Englewood, CO Job Posted Time: 2026-09-15 10:59:18 Employment Type: Hybrid Target Skills & Keywords : Azure, Design System, LLM, Large Language Model, SaaS, Vertex AI About the job Experience: •Applied hands-on capability in Google Agent Development Kit (ADK), LangGraph, or comparable orchestration frameworks for multi-agent systems •Operational familiarity with RPA platforms (Power Automate, UiPath) and experience defining the architectural boundary between RPA and agentic AI •Exposure to shop floor or operational technology (OT) environments — understanding the unique constraints of AI systems that interact with physical operations •Prior experience in a formal architecture governance role (enterprise architect, principal architect, or equivalent) •In the first 90 days, success looks like: a clear, documented view of TTEC's current AI architecture across all three pillars; identified gaps and inconsistencies; and a prioritized set of architectural decisions to resolve. Required Skills: •You must be located in Denver, Colorado •Define and maintain 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 •Ensure that the Automation, AI & Intelligence, and Product Engineering pillars share consistent integration patterns, data contracts, and security postures — preventing architectural drift as each pillar scales independently •Design the interfaces between deterministic automation (RPA, Power Automate) and probabilistic AI systems (agents, bots) — defining where handoffs happen, how errors propagate, and how humans stay in the loop •Maintain a living architecture reference — a practical, up-to-date view of how TTEC's AI systems connect, depend on each other, 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 used by the ARB/SRB/RAIC intake process Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!