Agentic AI & MLOps 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

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.