Generative AI Engineer: LLMs, AWS SageMaker & MLOps

Tata Consultancy Services Limited; Malvern (Chester County); On-site; USD 130,000 - 135,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

Commuter Benefits

Certification & Training Reimbursement

Vacation & Holidays

401K Plan

Performance Bonus

Job summary

Tata Consultancy Services Limited in Malvern, PA is seeking an Engineer to design, develop and deploy Generative AI and ML solutions on AWS (Bedrock, SageMaker) using Python, PySpark and cloud-native architectures.

You will build RAG pipelines, LLM-based applications, AI agents, and scalable data pipelines, collaborating with business, data engineering and cloud teams to deliver secure, production-ready AI solutions with governance and cost optimization in mind.

Qualifications

• Strong experience in designing, developing, and deploying Generative AI and ML solutions on AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture.
• Proficiency in Python, PySpark, and SQL.
• Experience with RAG, AI agents, LangChain, and LlamaIndex concepts.
• Familiarity with CI/CD pipelines and ML lifecycle management.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions on AWS (Bedrock, SageMaker, Lambda, S3).
• Build and optimize RAG pipelines, LLM-based apps, AI agents, and model inference workflows.
• Develop scalable data pipelines and MLOps frameworks for training, deployment, monitoring, and continuous improvement.
• Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions.

Skills

Generative AI

Machine Learning

NLP

Python

PySpark

SQL

LangChain

AWS Bedrock

AWS SageMaker

Education

Bachelor's degree in Computer Science

Tools

MLflow

Docker

Kubernetes

Terraform

FastAPI

REST APIs

Job description

Tata Consultancy Services Limited in Malvern, PA is seeking an Engineer to design, develop and deploy Generative AI and ML solutions on AWS (Bedrock, SageMaker) using Python, PySpark and cloud-native architectures.

You will build RAG pipelines, LLM-based applications, AI agents, and scalable data pipelines, collaborating with business, data engineering and cloud teams to deliver secure, production-ready AI solutions with governance and cost optimization in mind.