Gen AI Solution Architect

• Lead end-to-end architecture and solution design for AI/ML projects in a cloud environment.
• Develop scalable data and ML pipelines using Python, PySpark, and Azure Databricks.
• Integrate, configure, and optimize Microsoft Copilot capabilities within business applications.
• Collaborate with data scientists, engineers, and product teams to build robust AI solutions.
• Drive best practices for model development, versioning, deployment, and monitoring.
• Support cloud modernization initiatives and architecture reviews.
• Clearly document architectural designs, patterns, and implementation details.

We are seeking an experienced AI/ML Solution Architect with strong expertise in Microsoft Copilot, Azure services, Python, and PySpark. The ideal candidate will play a key role in designing, architecting, and delivering AI/ML-driven solutions for enterprise environments. This role requires deep technical understanding, hands-on development skills, and the ability to collaborate with cross-functional business and engineering teams., * 8+ years of experience in software engineering / data engineering / solution architecture roles.

• Strong experience building and deploying ML solutions on Azure (Azure ML, Azure Data Factory, Storage, AKS, etc.).
• Hands-on expertise in Python and PySpark for data processing and model development.
• Experience with Copilot / AI copilots / Generative AI integration and solutioning.
• Strong understanding of cloud-based architecture, CI/CD, DevOps, data governance, and security.
• Ability to lead technical discussions, solution design sessions, and architecture reviews.
• Excellent communication and stakeholder management skills.

Good-to-Have Skills:

• Experience with LLMs, OpenAI APIs, or custom model fine-tuning.
• Knowledge of Databricks, delta lakes, and large-scale distributed systems.
• Microsoft Azure certifications (Architect, Data Engineer, AI Engineer).