AI Engineer

Tata Consultancy Services; Town of Florida (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Discretionary Bonus

Medical Coverage

Parental Leave

401K Plan

Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services is seeking an AI Engineer in the United States to design, build, and deploy scalable AI/ML solutions. You will develop multimodal applications, implement agentic AI frameworks, and optimize end-to-end ML pipelines for business impact.

The role requires deep hands-on experience with ML frameworks, LangChain/ LangGraph, and modern AI tooling, along with collaboration across Product, Data, and Architecture teams. Strong production experience is essential.

Qualifications

• Design, build, and optimize machine learning pipelines.
• Strong fundamentals in Python and software design patterns.
• Experience with ML tools and frameworks (PyTorch, TensorFlow) in production.
• Experience with Generative AI, LangChain/LangGraph, and AI agents.

Responsibilities

• Design, develop, and deploy scalable AI and ML solutions to solve business problems.
• Build end-to-end ML pipelines from data ingestion to deployment and monitoring.
• Develop Generative AI applications using LLMs, RAG, and AI agents.
• Implement Agentic AI frameworks with LangGraph and LangChain.
• Create multimodal AI solutions integrating text, image, audio, and video.
• Collaborate with cross-functional teams to define AI strategy and roadmaps.

Tools

Python

NumPy

Pandas

Scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

MLflow

Matplotlib

LangChain

LangGraph

LlamaIndex

FAISS

Pinecone

OpenAI API

Anthropic API

Gemini API

Job description

Job Description

Role - AI Engineer

Experience Required -8+ Years

We are seeking a highly skilled AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI frameworks to design, develop, deploy, and optimize intelligent AI solutions. The ideal candidate will have deep hands-on experience in building scalable ML pipelines, developing multimodal AI applications, and implementing advanced LLM-powered agentic systems that drive business value.

Must Have Technical/Functional Skills

• Design, build, and optimize machine learning pipelines.
• Core Python Fundamentals: OOPs concepts, Functions & Modules, Iterators / Generators, Exception handling, Decorators, Typing / Data classes,Data Structures & Algorithms,Design Patterns.
• Machine Learning: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib
• Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini APIs, LangGraph Agents
  
  

Roles & Responsibilities

Design, develop, and deploy scalable AI and Machine Learning solutions to solve complex business problems.

Build and optimize end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.

Develop advanced Generative AI applications leveraging Large Language Models (LLMs), RAG architectures, and AI agents.

Design and implement Agentic AI frameworks using LangGraph, LangChain, and related technologies.

Build and deploy multimodal AI solutions that integrate text, image, audio, and video capabilities.

Collaborate with cross-functional teams including Product Managers, Business Stakeholders, Data Engineers, and Architects to define AI strategies and roadmaps.

Evaluate emerging AI technologies and recommend innovative solutions to improve business outcomes.

Ensure AI systems meet performance, scalability, security, and governance requirements.

Provide technical leadership, mentor junior engineers, and drive AI engineering best practices across the organization.

Communicate technical concepts, project progress, and solution impact effectively to stakeholders and leadership teams

Base Salary Range : $100,000 to $130,000 Per Annum

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.