AI & Data Architect

Hiring | AI & Data Architect

Location: Bangalore

Experience: 12+ Years

Key Skills: AI Architecture, Generative AI, Agentic AI, Machine Learning, Azure, Azure OpenAI, Databricks, PySpark, RAG, LLMs, Data Architecture, MLflow, MLOps

We are looking for an experienced AI & Data Architect to join our IT Services team and work on a high-impact AI project for a global manufacturing client.

This is a senior architecture role for a professional who can bridge AI strategy, data architecture, cloud platforms, and business requirements to design and deliver scalable, secure, production-ready AI solutions.

Key Responsibilities

AI Architecture & Strategy

• Partner with the AI Lead and business stakeholders to translate strategic ideas into AI architectures, technical roadmaps, and execution plans
• Evaluate incoming AI use cases and assess technical feasibility, business value, ROI, risks, and scalability
• Design end-to-end architectures for Generative AI, Agentic AI, Machine Learning, and traditional AI solutions
• Define solution architecture from PoC through production deployment
• Design enterprise solutions leveraging LLMs, RAG, Fine-Tuning, and Agentic AI frameworks
• Establish Responsible AI, security, governance, cost management, and monitoring

Data Architecture

• Design scalable data architectures supporting AI and ML workloads
• Work with Databricks, PySpark, Delta Lake, MLflow, and Unity Catalog
• Define data pipelines, integration patterns, data quality, governance, and security
• Collaborate with Data Engineering and Data Science teams to make enterprise data AI-ready

Azure & Cloud Architecture

• Design and implement AI solutions across Microsoft Azure and Databricks
• Hands-on experience with Azure OpenAI, Azure ML, Azure Functions, Azure Cosmos DB / Vector Stores
• Define cloud architecture, integration patterns, security controls, and deployment strategies
• Work with DevOps/MLOps teams on CI/CD, Docker, Kubernetes, and AI/ML monitoring

Stakeholder Management

• Act as a trusted technical advisor to business and technology stakeholders
• Communicate complex AI and data architecture concepts clearly to senior leadership
• Drive alignment across IT, Data Engineering, Security, and Business Operations

Required Skills

AI / GenAI

• Generative AI & LLMs
• RAG & Fine-Tuning
• Agentic AI
• Machine Learning & Deep Learning
• LangChain / AutoGen / CrewAI / Semantic Kernel

Azure

• Azure OpenAI Service
• Azure ML
• Azure Functions
• Azure Cosmos DB / Vector Stores

Data & Databricks

• Databricks
• PySpark
• Delta Lake
• MLflow
• Unity Catalog
• Data Architecture & Data Engineering

DevOps / MLOps

• CI/CD
• Docker
• Kubernetes
• AI/ML monitoring and deployment

Experience & Qualifications

12+ years of experience across AI, Data, Data Science, Machine Learning, Data Engineering, or Solution Architecture

Strong experience in AI & Data Architecture and enterprise solution design

3+ years of hands-on experience designing and deploying GenAI / Agentic AI solutions

Strong hands-on experience with Microsoft Azure and Databricks

Proven experience taking AI solutions from concept / PoC to production

Excellent communication, consulting, analytical, and stakeholder-management skills

Nice to Have

• Manufacturing domain experience
• Knowledge of supply chain, predictive maintenance, quality control, or plant operations
• Multi-cloud exposure
• Experience with enterprise AI governance and Responsible AI

Interested candidates can share their CV or DM me for more details.

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