AI Architect

Tata Consultancy Services; Plano (TX); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support: Maternal & Parental Le

Insurance Options: Auto & Home

Convenience & Professional Growth: Com

Time Off

Legal & Financial Assistance

401K Plan

Performance Bonus

College Fund

Student Loan Refinancing

Job summary

Tata Consultancy Services in Plano, TX seeks an experienced AI Architect to lead Agentic AI initiatives and multi-agent workflows across software development, testing, and operations.

You will design intelligent agents, governance frameworks, and GenAI solutions using leading enterprise platforms. Strong emphasis on cost, latency, security, and scalable deployments is required.

Qualifications

• Proficiency in Python and software development.
• Experience with REST APIs and enterprise integration.
• Expertise in Agentic AI, AI agents, tool calling, and workflow orchestration.
• Strong skills in prompt and context engineering.
• Experience with RAG, embeddings, and vector search.
• Cloud experience with AWS.
• CI/CD pipelines and automation.

Responsibilities

• Architect and implement Agentic AI and multi-agent solutions for software development, testing, test automation, defect analysis, and operational workflows.
• Design intelligent agents capable of reasoning, planning, using enterprise tools/APIs, and supporting human-in-the-loop decision-making.
• Define an enterprise-ready framework for Agentic AI, GenAI, development, and testing.
• Design and build GenAI solutions using enterprise LLM platforms with focus on cost, latency, security, and scalability.
• Implement RAG-based solutions using requirements, user stories, APIs, configurations, and test repositories; leverage embeddings and vector search where applicable.
• Architect and govern API automation using RestAssured, Postman/Newman, and SoapUI.
• Enable CI/CD integration, cloud-based deployments on AWS, and monitoring of AI applications, agents, and workflows.
• Ensure adherence to enterprise AI governance, data privacy, security, responsible AI, and human approval requirements.

Skills

Python

REST APIs

Agentic AI

Prompt engineering

RAG

Embeddings

AWS Cloud

CI/CD

Education

Bachelor of Computer Science

Tools

RestAssured

Postman

Newman

SoapUI

Job description

• Agentic AI, AI agents, tool calling, and workflow orchestration
• RAG, embeddings, vector search
• AWS Cloud
• CI/CD and auto

Job Description

Must Have Technical/Functional Skills

• Python
• REST APIs and enterprise integration
• Agentic AI, AI agents, tool calling, and workflow orchestration
• Prompt/context engineering
• RAG, embeddings, vector search
• AWS Cloud
• CI/CD and auto

Desired Profile

• Strong architectural and hands-on experience in Agentic AI, Enterprise AI, and GenAI

Roles & Responsibilities

• Architect and implement Agentic AI and multi-agent solutions for software development, testing, test automation, defect analysis, and operational workflows.
• Design intelligent agents capable of reasoning, planning, using enterprise tools/APIs, and supporting human-in-the-loop decision-making.
• Define an enterprise-ready framework for Agentic AI, GenAI, development, and testing.
• Design and build GenAI solutions using enterprise LLM platforms such as GPT and Claude, with focus on cost, latency, security, and scalability.
• Implement RAG-based solutions using requirements, user stories, APIs, configurations, Guidewire artifacts, and test repositories; leverage embeddings and vector search where applicable.
• Architect and govern API automation using RestAssured, Postman/Newman, and SoapUI.
• Enable CI/CD integration, cloud-based deployments on AWS, and monitoring of AI applications, agents, and workflows.
• Ensure adherence to enterprise AI governance, data privacy, security, responsible AI, and human approval requirements.

Generic Managerial Skills, If any

LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent agent frameworks

• Amazon Bedrock, Azure OpenAI, or other enterprise AI platforms
• Vector databases such as OpenSearch, Pinecone, Weaviate, or pgvector
• Data Structures & Algorithms

OOP and modular design

Domain Experience

• P&C Insurance (mandatory / strong preference)
• Guidewire: PolicyCenter, ClaimCenter

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $100,000 - $160,000 a year

Qualifications:

BACHELOR OF COMPUTER SCIENCE