Principal Automation Developer

TTEC; Hyderabad; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

TTEC in India is scaling its Automation & AI portfolio, building multi-agent systems and integrating internal tools on GCP to deploy AI agents safely and at scale across the business.

You will design agent workflows, engineer prompts, evaluate performance, and collaborate with the Automation & AI team to deliver reusable, secure patterns across units.

Qualifications

• Hands-on experience building with Google Agent Development Kit (ADK) or comparable agent orchestration frameworks
• 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

Responsibilities

• Design and implement multi-agent workflows using Google ADK, including agent orchestration, tool routing, and memory/context management
• Build integrations using MCP to expose internal systems 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 and enterprise data sources
• Apply strong 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) with attention to scalability, cost, and security
• Partner with business unit stakeholders to identify manual processes suitable for agent-based automation
• Collaborate with the Automation & AI team on reusable patterns, shared tooling, and governance standards
• 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

Skills

Agent orchestration

MCP (Model Context Protocol)

Prompt engineering

Copilot Studio

GCP for AI workloads

Python

LLM evaluation methods

Tools

Jira

SharePoint

ServiceNow

Internal APIs

Job description

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.

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 strong 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

• 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

Primary Location

India-Telangana-Hyderabad