AI/ML Architect

Tata Consultancy Services; Chennai District, Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Tata Consultancy Services is seeking an AI/ML Lead or AI Architect to steer the design, development, and deployment of enterprise AI solutions. The role requires deep expertise in AI architectures, Generative AI, cloud platforms, MLOps, and data engineering, while providing technical leadership to delivery teams.

Responsibilities include defining strategy and roadmaps, leading end-to-end solution delivery, and ensuring governance and security across AI initiatives.

Qualifications

• 10–15 years of experience in AI/ML architecture and delivery.
• Experience leading design, development and deployment of enterprise AI/ML solutions.
• Strong expertise in AI/ML architectures, Generative AI, cloud platforms, and MLOps.
• Ability to lead delivery teams and translate business problems into technical solutions.

Responsibilities

• Define AI/ML strategy, architecture, and roadmap for enterprise solutions.
• Design and implement ML, DL, and Generative AI solutions.
• Lead end-to-end AI solution development from data ingestion to deployment.
• Architect scalable AI platforms on Azure, AWS, or GCP.
• Implement MLOps for training, deployment, monitoring, and governance.
• Collaborate with business teams to identify AI use cases and translate to tech.
• Ensure AI security, governance, and responsible AI practices.
• Mentor AI engineers and data scientists.

Skills

Python

Machine Learning

Deep Learning

Generative AI

Prompt Engineering

Retrieval-Augmented Generation

Vector Databases

LangChain

MLOps

SQL & NoSQL

Cloud Platform

Docker

Kubernetes

Data Engineering Concepts

Tools

Azure OpenAI

AWS Bedrock

Vertex AI

Databricks

PySpark

TensorFlow

PyTorch

Microsoft Fabric

Knowledge Graphs

Semantic Kernel

Job description

Role: AI/ML Lead / AI Architect
Experience: 10-15 Years
Location: PAN India

Job Summary-

We are looking for an experienced AI/ML Lead or AI Architect to lead the design, development, and deployment of enterprise AI and Machine Learning solutions. The ideal candidate should possess expertise in AI/ML architectures, Generative AI, cloud platforms, MLOps, and data engineering while providing technical leadership to delivery teams and stakeholders.

Roles & Responsibilities-

• Define AI/ML strategy, architecture, and roadmap for enterprise solutions.
• Design and implement Machine Learning, Deep Learning, and Generative AI solutions.
• Lead end-to-end AI solution development from data ingestion to production deployment.
• Architect scalable AI platforms using Azure, AWS, or GCP.
• Implement MLOps frameworks for model training, deployment, monitoring, and governance.
• Collaborate with business teams to identify AI use cases and translate them into technical solutions.
• Ensure AI security, compliance, responsible AI practices, and model governance.
• Mentor AI engineers, data scientists, and development teams.

Mandatory Skills

• Python
• Machine Learning & Deep Learning
• Generative AI & LLMs (GPT, Claude, Llama)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, FAISS, Azure AI Search)
• LangChain / LlamaIndex
• MLOps (MLflow, Kubeflow, Azure DevOps)
• SQL & NoSQL Databases
• Cloud Platform (Azure/AWS/GCP)
• Docker & Kubernetes
• Data Engineering Concepts

Preferred Skills

• Azure OpenAI / AWS Bedrock / Vertex AI
• Databricks
• PySpark
• TensorFlow / PyTorch
• Microsoft Fabric
• Agentic AI Frameworks
• Knowledge Graphs
• Semantic Kernel