**About the Role** TTEC is scaling its Automation & AI portfolio to move beyond manual, ticket-by-ticket process work toward an agentic framework that can right-source work across business units. This role is central to that shift - building the multi-agent systems, integrations, and evaluation rigor needed to deploy AI agents safely and at scale across TTEC's technology and business operations. **What You'll Do** + Design and implement multi-agent workflows using **Google Agent Development Kit (ADK)** , including agent orchestration, tool routing, and memory/context management + Build integrations using **Model Context Protocol (MCP)** to expose internal systems (Jira, SharePoint, ServiceNow, internal APIs, etc.) as discoverable tools that agents can call at runtime + Develop and maintain **evaluation frameworks** to measure agent accuracy, task completion rate, and safety - both pre- and post-deployment + Design, build, and optimize conversational and task-based agents in **Microsoft Copilot Studio** , integrating with Power Platform (Power Automate, Dataverse) and enterprise data sources + Apply solid **prompt engineering** practices - structured prompting, few-shot design, guardrails, and iterative evaluation - to improve agent reliability and reduce hallucination/drift + Architect and deploy agentic solutions on **Google Cloud Platform (GCP)** (Vertex AI, Cloud Functions, Cloud Run, IAM) with attention to scalability, cost, and security + Partner with business unit stakeholders to identify manual,



repeatable processes suitable for agent-based automation, translating business requirements into technical agent designs + Collaborate with the Automation & AI team on reusable patterns, shared tooling, and governance standards (security review readiness, access control, data handling) + Contribute to internal enablement - documentation, training, and knowledge transfer so the broader team can build and extend agentic solutions + Monitor deployed agents in production, iterating based on performance data, user feedback, and evaluation results **What You'll Bring** **Required:** + Hands-on experience building with **Google Agent Development Kit (ADK)** or comparable agent orchestration frameworks (LangGraph, AutoGen, CrewAI) + Practical experience with **Model Context Protocol (MCP)** - building or consuming MCP servers/tools + Strong **prompt engineering** skills, including evaluation-driven prompt iteration + Experience with **Microsoft Copilot Studio** for building and deploying enterprise agents/bots + Working knowledge of **GCP** services relevant to AI workloads (Vertex AI, Cloud Functions/Run, IAM, logging/monitoring) + Solid software engineering fundamentals - Python (preferred), API design, version control + Understanding of LLM evaluation methodology: accuracy, task completion, safety/guardrail testing **Title:** _Principal Automation Developer_ **Location:** _India-Telangana-Hyderabad_ **Requisition ID:** _04EUN_

📌 Principal Automation Developer (Hyderabad)
🏢 TTEC
📍 Hyderabad