AI Architech

Architect AI About the role

TTEC's App Delivery & Automation organization is in the midst of a meaningful transformation — moving from a traditional engineering model organized around technology stacks to an AI-first delivery engine organized around outcomes. Three distinct pillars now power this organization:
Automation (RPA, shop floor), AI & Intelligence (bots, agentic AI, GenAI), and Product Engineering (SaaS products, desktop and business applications).

The AI Architect is a new role created to give this transformation a coherent technical spine. You will own the architecture layer that sits across all three pillars — defining how AI systems are designed, how platforms are selected and integrated, how data flows between systems, and how decisions made in one pillar stay consistent with decisions made in another.

This is not a strategy role that produces documents. It is a hands‑on technical leadership role. You will design systems, review implementations, prototype new patterns, and be the person others come to when a hard architectural question needs a definitive answer. You report directly to the VP of App Delivery & Automation and carry director‑level authority to set and enforce architectural standards across the organization.

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
• Establish a tiered approach to AI system risk — distinguishing low‑risk internal productivity tools from high‑risk client‑facing agentic systems — and ensure appropriate review rigor is applied to each tier
• Lead architectural reviews for new AI initiatives, serving as the technical decision‑maker within the governance intake process

• Continuously evaluate new AI frameworks, model releases, and infrastructure patterns — translating findings into concrete, time‑bound recommendations for the team's roadmap
• Prototype architectural patterns before recommending them — you should be able to build a working proof of concept, not just describe one
• Contribute to TTEC's AI Agent Hub architecture: the centralized platform through which employees discover and launch AI agents across Microsoft, Google, and Anthropic tooling

• 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…