AI Engineer

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

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Parental Leaves

Insurance Options

Certification & Training Reimbursement

Vacation & Holidays

401K Plan

Performance Bonus

Job summary

Tata Consultancy Services in the United States is seeking an experienced AI/ML Engineer to design, develop, and deploy Generative AI and ML solutions on AWS Bedrock and SageMaker.

The role focuses on building scalable data pipelines, RAG workflows, AI agents, and production-ready models, collaborating with business, data engineering, and cloud teams to optimize performance, governance, and costs.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience designing Generative AI on AWS Bedrock/SageMaker.
• Strong Python, PySpark, and SQL skills.
• Hands-on ML/DL, NLP, and prompt engineering expertise.

Responsibilities

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

Skills

Python

PySpark

SQL

Machine Learning

Deep Learning

NLP

Generative AI

LLMs

Prompt Engineering

RAG

AI Agents

REST APIs

Model Deployment & Monitoring

Education

BACHELOR OF COMPUTER SCIENCE

Tools

AWS Bedrock

AWS SageMaker

S3

Lambda

IAM

RDS

CloudWatch

MLOps

MLflow

CI/CD

Docker

Kubernetes

Terraform

LangChain

LangGraph

LlamaIndex

FastAPI

Job description

• Machine Learning, Deep Learning, NLP

Job Description

Must Have Technical/Functional Skills

Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on

AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture

• Python, PySpark, SQL
• Machine Learning, Deep Learning, NLP
• Generative AI, LLMs, Prompt Engineering
• Amazon Bedrock, AWS SageMaker
• RAG (Retrieval Augmented Generation), AI Agents
• LangChain, LangGraph, LlamaIndex
• AWS Services: S3, Lambda, IAM, RDS, CloudWatch
• MLOps, MLflow, CI/CD Pipelines
• Docker, Kubernetes, Terraform
• REST APIs, FastAPI, Model Deployment & Monitoring

Roles & 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.

Generic Managerial Skills, If any

• Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
• Effective communication with business and technical stakeholders

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $120,000 - $140,000 a year

Qualifications:

BACHELOR OF COMPUTER SCIENCE