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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Tata Consultancy Services
Fresher
Not Disclosed
  • Posted 19 days ago
  • Over 100 applicants have applied

Job Description

JD (AWS Bedrock) -

Location-Bangalore, Chennai

We are seeking a highly handson AI Engineer to build, deploy, and operate productiongrade AI automation solutions using Amazon Bedrock and AgentCore. This is a codingfirst 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 agentbased automation workflows using Amazon Bedrock AgentCore.

  • Develop productionquality code for:

o 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 eventdriven 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, productionready deployments.

More Info

Job Type:
Industry:
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Key Skills

AgentCore

GitOps

Amazon Bedrock

Agent memory state and policy management

Tool function calling and integrations

CI/CD pipelines

LLM orchestration

Observability (logging

Agent decision logic

tracing)

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Skills:
containerization , Data Modeling, Microservices, Api Development, Performance Tuning, Devops, FastAPI, release management, Kubernetes, Azure, Python Programming, Sql, rag solutions, ci/cd pipelines, cross-functional collaboration, Problem Solving, generative ai