AI Engineer - Generative AI & MLOps (AWS SageMaker)

Tata Consultancy Services Limited; Malvern (Chester County); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

401K Plan

Certification & Training Reimbursement

Job summary

Tata Consultancy Services Limited in Malvern, PA, seeks an Engineer in Technology to design, develop, and deploy AI/ML and Generative AI solutions using AWS Bedrock, SageMaker, Lambda, and S3. You will build RAG pipelines, AI agents, and model inference workflows to solve business problems across scalable data pipelines and MLOps frameworks.

Collaborate with cross-functional teams to ensure secure, production-ready AI solutions with performance, governance, and cost optimization in mind.

Qualifications

• Design and build AI/ML and Generative AI solutions using AWS Bedrock, SageMaker, Lambda, and S3.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
• Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
• Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
• Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization.

Skills

Python

PySpark

SQL

Machine Learning

Deep Learning

NLP

Generative AI

LLMs

Prompt Engineering

Bedrock

SageMaker

RAG

LangChain

LangGraph

LlamaIndex

AWS S3

CI/CD

MLOps

MLflow

Docker

Kubernetes

Terraform

REST APIs

FastAPI

Model Deployment & Monitoring

Education

Bachelor of Computer Science

Tools

Docker

Kubernetes

Terraform

FastAPI

MLflow

Job description

Tata Consultancy Services Limited in Malvern, PA, seeks an Engineer in Technology to design, develop, and deploy AI/ML and Generative AI solutions using AWS Bedrock, SageMaker, Lambda, and S3. You will build RAG pipelines, AI agents, and model inference workflows to solve business problems across scalable data pipelines and MLOps frameworks.

Collaborate with cross-functional teams to ensure secure, production-ready AI solutions with performance, governance, and cost optimization in mind.