Skip to main content
Posted 07 June, 2026

AWS Cloud Engineer (Gen AI Tools)

Tata Consultancy Services
Bengaluru, KA, IN Full Time
Reference: 552a83d0b4ae4778

Job Description

TCS Hiring for AWS Cloud Engineer (Gen AI Tools)\n\nExperience Range: - 06 To 10 Years (Mandatory)\n(Note: Candidates below 6 years of IT experience shall not be considered)\nJOB LOCATION: Bengaluru, Chennai, Hyderabad, Pune, Delhi\n\nJOB DESCRIPTION\n\nAbout the Role:\n\nThe purpose of this role is to manage and support the day-to-day operations of the cloud engineering team that is focussed on incorporating/transitioning IT technology into cloud-based products and systems. Taking an active role in translating concepts and methods into a coherent architectural design or practice plan such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), the role holder will be engaged in developing complete E2E detailed models suitable for cloud realisation.\nWe are seeking a highly skilled and experienced Cloud Engineer to work on GenAI projects. This role will be instrumental in designing, building, and maintaining scalable, secure, and cost-effective infrastructure and application components that power Generative AI workloads on AWS.

You will work closely with data scientists and MLOps engineers to operationalise GenAI solutions using modern DevOps practices and Infrastructure-as-Code principles.\n\nRoles and Responsibilities:\n\nArchitect, implement, and maintain AWS infrastructure to support scalable, production-grade GenAI workloads using services including Lambda, API Gateway, DynamoDB, Bedrock, S3, SageMaker, and IAM.\nDevelop and maintain Python-based reusable GenAI components, ensuring seamless integration with AWS services, efficient model invocation, logging, monitoring, and automated unit testing.\nDesign and manage Terraform codebases to provision and orchestrate cloud infrastructure for GenAI systems, emphasizing scalability, security, and cost optimization.\nBuild and maintain CI/CD pipelines using GitHub Actions to automate code validation, testing, deployment, and post-deployment checks for GenAI services.\nImplement robust IAM policies and access control for secure execution of GenAI workloads, ensuring compliance with best practices and enterprise standards.\nCollaborate with cross-functional teams, including data scientists, backend engineers, and DevOps teams, to deliver well-integrated, high-performing GenAI services.\nMonitor, troubleshoot, and optimize GenAI workloads for performance, reliability, and cost, leveraging AWS CloudWatch, X-Ray, and custom logging.\nContribute to internal knowledge sharing, best practices documentation, and reusable architecture patterns for GenAI use cases.\n\nMinimum Qualification:\n15 years of Full Time Education\n\nInterested candidates kindly share your updated resume to immediately with the details below (Mandatory)\n\nName:\nContact No.\nEmail id:\nSkillset:\nTotal exp:\nRelevant Exp:\nFulltime highest qualification (Year of completion with percentage scored):\nCurrent organization details (Payroll company):\nCurrent CTC:\nExpected CTC:\nNotice period:\nCurrent location:\nPreferred Location:\nAny gaps between your education or career (If yes pls specify the duration):\nWill you be able to join within 30/45 days? (Yes/NO)

Sign up for Job Alerts