Artificial Intelligence Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks a highly hands-on AI Engineer to build, deploy, and operate production-grade AI automation solutions using Amazon Bedrock and AgentCore. This coding-first role focuses on agent logic, enterprise integrations, and CI/CD pipelines for AI workloads with strong DevOps and GitOps practices.

You will spend most of your time writing code, building agent workflows, integrating AI services with enterprise systems, and shipping changes through automated

Qualifications

• Hands-on experience building production-grade AI automation.

Responsibilities

• Design and implement agent-based automation workflows using Amazon Bedrock AgentCore.
• Develop production-grade code for LLM orchestration and agent decision logic, plus tool integrations.
• Build and manage agent memory, state, and policy components.
• Create prompts, agent configurations, and routing logic with automated testing.
• Integrate AI agents with internal APIs, services, and event-driven systems.
• Build and maintain CI/CD pipelines for AI services, agents, and prompts.
• Package and deploy AI services as containerized workloads using GitOps.
• Implement environment promotion, rollback, and versioning for AI artifacts.
• Add observability (logging, metrics, tracing) and optimize performance and cost.
• Collaborate with platform and security teams for production-ready deployments.

Tools

Amazon Bedrock

AgentCore

Bitbucket

Bamboo

Artifactory

GitOps

Job description

We are seeking a highly hands‑on AI Engineer to build, deploy, and operate production‑grade AI automation solutions using Amazon Bedrock and AgentCore. This is a coding‑first role, focused on developing agent logic, enterprise integrations, and CI/CD pipelines for AI workloads using strong DevOps and GitOps practices.

You will spend most of your time writing code, building agent workflows, integrating AI services with enterprise systems, and shipping changes through automated pipelines.

Key Responsibilities

• Design and implement agent‑based automation workflows using Amazon Bedrock AgentCore.
• Develop production‑quality code for:
  • LLM orchestration and agent decision logic
  • Tool/function calling and integrations
  • Agent memory, state, and policy management
  • Build and version prompts, agent configurations, and routing logic with automated testing.
  • Integrate AI agents with internal APIs, services, and event‑driven systems.
  • Build and maintain CI/CD pipelines for AI services, agents, and prompts using Bitbucket, Bamboo, and Artifactory.
  • Package and deploy AI services as containerized workloads using GitOps workflows.
  • Implement environment promotion, rollback, and versioning strategies for AI artifacts.
  • Add observability (logging, metrics, tracing) and optimize performance, cost, and reliability.
  • Collaborate with platform and security teams to ensure compliant, production‑ready deployments.