AI Data Architect

Job Title: AI Data Architect

Location: Pan India

Experience: 8–15 Years

Employment Type: Full-Time

Job Summary

We are seeking an experienced AI Data Architect to lead the design, development, and implementation of enterprise-scale AI and Data platforms. The ideal candidate will have strong expertise in Data Architecture, Cloud Technologies, Machine Learning, Generative AI, Data Engineering, and MLOps. This role requires collaboration with business stakeholders, data scientists, engineers, and technology leaders to build scalable AI-driven solutions that drive business transformation.

Key Responsibilities

• Design and implement enterprise AI and Data Architecture strategies aligned with business objectives.
• Define scalable data models, data governance frameworks, metadata management, and data quality standards.
• Architect and oversee modern data platforms using cloud technologies (AWS, Azure, or GCP).
• Lead the development of AI/ML and Generative AI solutions for business use cases.
• Design and implement data lakes, lakehouses, data warehouses, and real-time data pipelines.
• Establish MLOps and LLMOps frameworks for deployment, monitoring, and governance of AI models.
• Define architecture for RAG (Retrieval-Augmented Generation), Vector Databases, AI Agents, and LLM-powered applications.
• Collaborate with Data Scientists and Engineering teams to operationalize AI solutions.
• Drive data security, compliance, privacy, and governance initiatives.
• Evaluate emerging AI technologies, tools, and frameworks and recommend best-fit solutions.
• Provide technical leadership, architecture reviews, and mentorship to development teams.
• Engage with stakeholders to translate business requirements into scalable AI and data solutions.

Required Skills

Data Architecture

• Enterprise Data Architecture
• Data Modeling (Conceptual, Logical, Physical)
• Data Warehousing
• Data Lakes / Lakehouse Architecture
• Master Data Management (MDM)
• Data Governance & Data Quality

AI & Machine Learning

• Machine Learning Lifecycle
• Deep Learning Concepts
• NLP (Natural Language Processing)
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• RAG Architecture
• AI Agents & Agentic AI

Data Engineering

• ETL/ELT Frameworks
• Apache Spark
• Databricks
• Kafka
• Real-Time Data Processing
• Python
• SQL

Cloud Platforms

• AWS / Azure / GCP
• Cloud-Native Data Services
• Serverless Architecture

MLOps & DevOps

• MLOps
• LLMOps
• CI/CD Pipelines
• Docker
• Kubernetes
• Model Monitoring & Governance

Databases

• SQL Databases
• NoSQL Databases
• Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, etc.)

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field.
• Certifications in Cloud Platforms (AWS/Azure/GCP) are preferred.
• Experience with Databricks, Snowflake, Fabric, or similar modern data platforms.
• Hands-on experience with OpenAI, Anthropic, Llama, Gemini, or other LLM ecosystems.
• Experience in architecting enterprise AI transformation initiatives.

Desired Experience

• 8–15 years of overall IT experience.
• Minimum 3+ years of experience in AI/ML or Generative AI architecture.
• Strong experience in enterprise-scale data platform modernization.
• Proven experience leading architecture discussions and stakeholder engagements.

What We Are Looking For

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Ability to define enterprise architecture roadmaps.
• Leadership experience in guiding cross-functional AI and Data teams.
• Passion for innovation and emerging AI technologies.

Keywords for Sourcing

AI Architect, Data Architect, GenAI Architect, AI Solution Architect, Enterprise Data Architect, Machine Learning Architect, LLM Architect, GenAI Solution Architect, Data Platform Architect, Cloud Data Architect, AI Transformation Architect, MLOps Architect, RAG Architect, AI Engineering Architect.

Location: Pan India

Experience: 8–15 Years

Notice Period: Immediate to 30 Days Preferred (Optional)

Interested candidates can apply with their updated resume and project details on AI/Data Architecture and Generative AI implementations.