AI/ML Ops Architect

Tata Consultancy Services; Atlanta (GA); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical Coverage

Dental & Vision

Parental Leaves

401K Plan

Job summary

Tata Consultancy Services (TCS) in Atlanta, GA seeks experienced AI/ML architect to design and deploy agentic AI systems and ML pipelines. You will collaborate with IT and business teams to translate requirements into scalable AI/ML solutions and drive deployment across environments.

Responsibilities include leading ML model development, data orchestration, and integration with DevOps processes. Strong experience in Python/Java and GCP tools is preferred.

Qualifications

• Meet with IT and Business teams to understand requirements.
• Architect AI/ML systems and agent-based workflows.
• Lead design and development of ML Ops & Agentic AI solutions.
• Develop and optimize ML models, pipelines and orchestration.
• Deploy AI/ML Models and LLM-based pipelines with vector memory systems.

Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work with data scientists, ML engineers, DevOps and software engineers to ensure integration and deployment
• Drive technical strategy, tooling and infrastructure decisions
• Provide management with timely status updates and create custom solutions as needed
• Identify areas for process improvement
• Maintain communication within the team and across groups

Skills

Python

Java

Generative AI

NLP

RAG

TensorFlow

PyTorch

BigQuery

GitHub

Tools

Gemini Tools

Custom MCP tools

GitHub

Job description

• Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
• Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering.
• Version Control: Experience with GitHub for version control.
• Data Science Practices: Skills in building models, testing/validation, and deployment.
• Collaboration: Experience working in an Agile framework.
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Job Description

Must Have Technical/Functional Skills

Technical Skills -

• Programming Languages: Python, Java
• Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Tool Integration: Gemini Tools, Custom MCP tools
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
• Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering.
• Version Control: Experience with GitHub for version control.
• Data Science Practices: Skills in building models, testing/validation, and deployment.
• Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
• Collaboration: Experience working in an Agile framework.
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Functional Skills -

• Experience working with customers in Retail Domain
• Knowledge in Retail Pricing functionalities is a plus

Roles & Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-based AI workflows.
• Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy, tooling, and infrastructure decisions.
• Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
• Identifies areas for process improvement.
• Maintains appropriate communication within the team and across various teams (i.e., internal and external).

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: Aut& 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-$130,000-$150,000 a year