Senior Ai/ml Engineer

Tata Consultancy Services; Atlanta (GA); On-site; USD 95,000 - 145,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Leave

Job summary

Tata Consultancy Services Limited seeks an AI Application Engineer to design and build enterprise-grade AI agents and tools. You will work with LLMs, multi-agent architectures, and cloud-native tech, delivering secure, observable, scalable solutions in Python and AWS.

You will collaborate across teams to craft integration patterns, implement A2A communication, and ensure robust workflows with Bedrock and Azure OpenAI. Strong problem-solving and collaboration are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven experience developing AI applications and integrating LLMs with enterprise systems.
• Strong Python, asynchronous programming, API development, and OO design.

Responsibilities

• Collaborate with cross-functional teams to define AI agent requirements and plans.
• Design and develop orchestration and domain-specific agents using Python 3.12 and relevant frameworks.
• Integrate LLMs and foundation models for reasoning, tool calling, and workflow automation.
• Deploy and operate AI agents using Bedrock AgentCore Runtime and Azure OpenAI.
• Implement agent-to-agent communication and secure agent-to-tool integrations.
• Use PostgreSQL for task persistence, workflow status, and state management.
• Store artifacts using Amazon S3 and manage credentials with AWS Secrets Manager.
• Implement logging, metrics, and tracing with OpenTelemetry and CloudWatch.
• Develop tests (unit/integration/A2A) with pytest and troubleshoot issues.
• Document agent frameworks and operational best practices.

Skills

Python

Asynchronous programming

API development

Object-oriented design

LangChain

LangGraph

Strands

AWS

PostgreSQL

REST APIs

Cloud-native

Debugging

Education

Bachelor's or Master's degree in Computer Science/Engineering

Tools

LangChain

LangGraph

Strands

AWS

PostgreSQL

OpenTelemetry

CloudWatch

Job description

Role Overview

We are seeking a highly skilled AI Application Engineer to design, develop, and integrate enterprise-grade agentic AI applications. The ideal candidate will have hands‑on experience working with large language models (LLMs), multi‑agent architectures, and cloud-native technologies. This role requires strong Python and AWS engineering expertise to build scalable, secure, observable, and reliable AI agents and enterprise tool integrations.

Key Responsibilities

• Collaborate with cross‑functional teams to define AI agent requirements, integration patterns, and implementation plans.
• Design and develop orchestration agents and domain‑specific agents using Python 3.12, LangChain, LangGraph, or Strands.
• Integrate LLMs and foundation models for reasoning, structured responses, tool calling, and workflow automation.
• Deploy and operate AI agents using Amazon Bedrock AgentCore Runtime and Azure OpenAI.
• Implement agent‑to‑agent communication using A2A 1.0 and the official Python a2a‑sdk.
• Build secure agent‑to‑tool integrations using the Model Context Protocol (MCP) and Amazon Bedrock AgentCore Gateway.
• Use PostgreSQL for task persistence, workflow status, agent state, and idempotency management.
• Store and manage generated documents and artifacts using Amazon S3 and secure credentials with AWS Secrets Manager.
• Implement logging, metrics, and distributed tracing using AgentCore Observability, OpenTelemetry, and Amazon CloudWatch.
• Develop unit, integration, and A2A contract tests using pytest, and troubleshoot complex AI application issues.
• Document agent frameworks, integration patterns, development standards, and operational best practices.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience developing AI applications and integrating LLMs or foundation models with enterprise systems.
• Strong proficiency in Python, asynchronous programming, API development, and object‑oriented design.
• Hands‑on experience with LangChain, LangGraph, or similar agentic AI frameworks.
• Strong understanding of prompt engineering, tool calling, structured outputs, context management, and LLM response validation.
• Experience with AWS services, relational databases, REST APIs, and cloud‑native application development.
• Familiarity with multi‑agent orchestration, distributed systems, task persistence, and asynchronous workflows.
• Strong problem‑solving, debugging, communication, and collaboration skills.

Preferred Skills

• Experience with Amazon Bedrock AgentCore Runtime, Gateway, and Observability.
• Knowledge of A2A protocols, MCP clients and servers, and enterprise tool integration.
• Experience with PostgreSQL, Amazon S3, AWS Secrets Manager, OpenTelemetry, CloudWatch, Hashicorp, and pytest.
• Experience deploying secure, scalable, and highly available AI applications in production environments.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, retrieval‑augmented generation, LLM evaluation, and AI guardrails.

Salary Range

Salary Range: $95,000-$145,000 a year

Benefits

• 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.

Location

Atlanta, GA

Salary Information

Salary Range $95,000 - $145,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE