Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Databricks Unified Data Analytics Platform
Valuable to have skills : AI Agents & Workflow Integration
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Role Summary / Description

AI Powered Tech Talent

As a Senior Engineer in AI Infrastructure Architecture for Databricks, you will own significant portions of the end-to-end architecture and engineering of optimized lakehouse and AI infrastructure for large-scale machine learning systems. You will design scalable compute clusters, distributed training environments, ML pipelines, model-serving foundations, automation patterns and operational controls that align with client standards, SLAs,



security, compliance and cost-efficiency expectations. You will bring industry experience across enterprise AI adoption, platform modernization, regulated data/AI workloads, FinOps and production reliability, while mentoring engineers and partnering with architects to translate business requirements into robust Databricks-based AI infrastructure solutions.

Key Responsibilities
Own end-to-end architecture and design of optimized Databricks AI/ML infrastructure, including workspace architecture, cluster/serverless compute, distributed training, ML pipelines, model registry, feature engineering and model-serving environments.
Design and tune scalable Databricks clusters, jobs, pipelines and serving endpoints using Databricks Workflows, MLflow, Model Registry, Unity Catalog, Delta Lake, Feature Engineering and cloud storage integrations, including compute selection, networking and high-throughput data

📌 AI Infrastructure Architect (Pune)
🏢 Accenture
📍 Pune