Senior AI Architect

Job Description Senior AI Architect Role

Senior AI Architect

Experience

• Total Experience: 15+ Years
• Relevant Experience: 10+ Years

Qualification

• Bachelors Degree

Mandatory / Primary Skills Artificial Intelligence & Machine Learning

• Machine Learning (ML)
• Deep Learning (DL)
• Statistical Modeling

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform (GCP)

Containers & Orchestration

• Docker
• Kubernetes
• Helm

Machine Learning Technologies

• PyTorch
• TensorFlow
• Transformers

Vector Databases

• Pinecone
• Milvus

DevOps

• Terraform
• GitHub Actions
• GitLab CI

MLOps

• Kubeflow
• MLflow
• ZenML

Relational Databases (RDBMS)

• Microsoft SQL Server (MS SQL)
• PostgreSQL
• MySQL

Cloud Data Platforms

• Snowflake
• Microsoft Synapse Analytics
• Amazon Redshift

Generative AI Platforms

• Azure OpenAI Service
• Amazon Bedrock

Good-to-Have Skills

• Experience working with Azure, AWS, or GCP cloud platforms.

Responsibilities

• Design and architect enterprise-grade AI/ML and Generative AI solutions.
• Develop Machine Learning, Deep Learning, and Statistical Modeling solutions.
• Build scalable AI applications using PyTorch, TensorFlow, and Transformer models.
• Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone and Milvus.
• Deploy AI workloads on AWS, Azure, and GCP cloud environments.
• Containerize and orchestrate AI applications using Docker, Kubernetes, and Helm.
• Implement CI/CD pipelines using GitHub Actions or GitLab CI.
• Build and maintain MLOps pipelines using Kubeflow, MLflow, or ZenML.
• Design data architectures utilizing SQL Server, PostgreSQL, MySQL, Snowflake, Azure Synapse, and Amazon Redshift.
• Integrate Large Language Models (LLMs) using Azure OpenAI Service and Amazon Bedrock.
• Collaborate with cross-functional teams to deliver scalable, secure, and production-ready AI solutions.
• Ensure best practices for model deployment, monitoring, governance, and performance optimization.

Work Shift

• General Shift (with flexibility for US/UK collaboration)

Expected Onboarding

• Immediate