AI Architect with AWS - S

Tata Consultancy Services; Kolkata District, Chennai District; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

Tata Consultancy Services is seeking a senior AI/ML Architect to design and lead enterprise-scale AI/ML and Generative AI initiatives on AWS. You will architect cloud-native solutions, guide model training and deployment, and drive MLOps and governance practices across teams.

You will mentor engineers, collaborate with stakeholders to identify AI use cases, and ensure scalable, secure, cost-efficient implementations leveraging LLMs, RAG, and predictive analytics.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
• 8+ years of experience in software engineering, cloud architecture, or data engineering.
• 3+ years architecting AI/ML solutions on AWS.
• Strong understanding of AI, Machine Learning, Deep Learning, and Generative AI concepts.
• Hands-on experience with AWS services: Bedrock, SageMaker, Lambda, S3, EC2, ECS/EKS, API Gateway, Redshift, Aurora, DynamoDB, Glue, Kinesis, IAM, CloudWatch.
• Experience designing and deploying LLM-based solutions.
• Strong knowledge of NLP, Recommendation Systems, Predictive Analytics, and Computer Vision.
• Experience with Python and AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, LangChain, Hugging Face.
• Experience with MLOps and model lifecycle management.
• Knowledge of containerization: Docker, Kubernetes.
• Experience with Infrastructure as Code: Terraform, AWS CloudFormation.
• Strong understanding of REST APIs and microservices architecture.
• Experience with CI/CD implementation for AI workloads.

Responsibilities

• Design and architect enterprise-scale AI/ML and Generative AI solutions on AWS.
• Develop cloud-native AI architectures that are scalable, secure, resilient, and cost-efficient.
• Lead end-to-end AI solution implementation including data ingestion, model training, deployment, monitoring, and optimization.
• Design and implement MLOps frameworks and AI deployment pipelines.
• Collaborate with business stakeholders to identify AI use cases and translate business requirements into technical solutions.
• Architect solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), chatbots, recommendation engines, and predictive analytics.
• Define cloud security, governance, compliance, and responsible AI best practices.
• Provide technical leadership and mentoring to development, data science, and engineering teams.
• Integrate AI services with enterprise applications, APIs, and third-party platforms.
• Conduct architectural reviews and establish technical standards and best practices.
• Optimize AI workloads for performance, scalability, reliability, and cost management.
• Stay updated with emerging AI/ML technologies, AWS innovations, and industry trends.

Skills

AI/ML concepts

NLP

Recommendation systems

Predictive analytics

Computer vision

Education

Bachelor's or Master's degree in Computer Science/AI/Data Science/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

Hugging Face

Docker

Kubernetes

Terraform

AWS CloudFormation

Job description

Key Responsibilities

• Design and architect enterprise-scale AI/ML and Generative AI solutions on AWS.
• Develop cloud-native AI architectures that are scalable, secure, resilient, and cost-efficient.
• Lead end-to-end AI solution implementation including data ingestion, model training, deployment, monitoring, and optimization.
• Design and implement MLOps frameworks and AI deployment pipelines.
• Collaborate with business stakeholders to identify AI use cases and translate business requirements into technical solutions.
• Architect solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), chatbots, recommendation engines, and predictive analytics.
• Define cloud security, governance, compliance, and responsible AI best practices.
• Provide technical leadership and mentoring to development, data science, and engineering teams.
• Integrate AI services with enterprise applications, APIs, and third-party platforms.
• Conduct architectural reviews and establish technical standards and best practices.
• Optimize AI workloads for performance, scalability, reliability, and cost management.
• Stay updated with emerging AI/ML technologies, AWS innovations, and industry trends.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 8+ years of experience in software engineering, cloud architecture, or data engineering.
• 3+ years of experience architecting AI/ML solutions on AWS.
• Strong understanding of AI, Machine Learning, Deep Learning, and Generative AI concepts.
• Hands-on experience with AWS services such as:
• Amazon Bedrock
• Amazon SageMaker
• AWS Lambda
• Amazon S3
• Amazon EC2
• Amazon ECS/EKS
• API Gateway
• Amazon Redshift
• Amazon Aurora
• Amazon DynamoDB
• AWS Glue
• Amazon Kinesis
• AWS IAM
• Amazon CloudWatch
• Experience designing and deploying LLM-based solutions.
• Strong knowledge of NLP, Recommendation Systems, Predictive Analytics, and Computer Vision.
• Experience with Python and AI/ML frameworks:
• TensorFlow
• PyTorch
• Scikit-learn
• LangChain
• Hugging Face
• Experience with MLOps and model lifecycle management.
• Knowledge of containerization technologies:
• Docker
• Kubernetes
• Experience with Infrastructure as Code:
• Terraform
• AWS CloudFormation
• Strong understanding of REST APIs and microservices architecture.
• Experience with CI/CD implementation for AI workloads.