Senior GenAI Engineer: AWS Bedrock & SageMaker

Tata Consultancy Services; San Antonio (TX); On-site; USD 110,000 - 130,000; Full time

Job summary

Tata Consultancy Services in the United States seeks a Senior AWS Bedrock & SageMaker Developer to design and implement generative AI solutions on AWS. You will build, optimize, and integrate AI applications with Bedrock, SageMaker, and related AWS services.

Responsibilities include prompt engineering, data handling in S3, model deployment, MLOps, and cross‑functional collaboration to deliver scalable AI workflows. Strong Python coding, APIs, and streaming capabilities are essential.

Qualifications

• Experience designing and deploying AI solutions on AWS Bedrock/SageMaker.
• Proficient in Python, APIs and microservices architecture.
• Hands-on experience with AWS core services (IAM, S3, Lambda, EC2).
• Ability to architect data pipelines and ML workflows.

Responsibilities

• Develop, integrate, and optimize Generative AI apps with Bedrock and agents.
• Create and optimize prompts for LLMs and RAG implementations.
• Work with Bedrock APIs for model inference and workflow orchestration.
• Develop backend services using Python or Node.js.
• Enable real-time and streaming AI responses.
• Build AI solutions using Bedrock Knowledge Bases and Feature Store.
• Integrate data sources (S3, databases, enterprise systems).
• Implement vector search and embeddings.
• Design AI agents using Bedrock Agents and multi-step workflows.
• Integrate external APIs/tools into AI workflows.
• Work with IAM, S3, Lambda, API Gateway; deploy secure AI solutions.
• Monitor costs, performance, and data privacy; enforce guardrails.

Skills

Generative AI basics

Prompt engineering

Bedrock API/SDK

RAG implementation

AI agents workflows

Python programming

AWS core services

S3 data handling

Model deployment

MLOps

Vector databases

Large data handling

Tools

Python libraries

Job description

Tata Consultancy Services in the United States seeks a Senior AWS Bedrock & SageMaker Developer to design and implement generative AI solutions on AWS. You will build, optimize, and integrate AI applications with Bedrock, SageMaker, and related AWS services.

Responsibilities include prompt engineering, data handling in S3, model deployment, MLOps, and cross‑functional collaboration to deliver scalable AI workflows. Strong Python coding, APIs, and streaming capabilities are essential.