Staff AI Solution Architect

Overview

Lead the design, development and deployment of AI-driven enterprise applications supporting data analytics across global functions such as Finance, Treasury, Sourcing and Enabling Functions.

What you'll do

• Engage in technical and business discussions to shape the future of AI solution architecture.
• Analyze current and future states to develop implementation roadmaps for AI solutions.
• Translate business needs into architectural requirements and contribute to infrastructure governance.
• Partner with service providers to build AI solutions aligned with project goals and enterprise standards.
• Ensure AI solutions adhere to architectural frameworks and comply with GDPR, SOX and Responsible AI guidelines.
• Research emerging AI technologies and trends to enhance solution design, and explore new capabilities in Databricks and Microsoft.
• Monitor deployed solutions to ensure optimal performance and security compliance.
• Collaborate with cross-functional teams, including Data Architecture and Analytics, to define and execute AI solution roadmaps aligned with business strategy.
• Work with product managers and data architects to shape analytics product roadmaps.
• Partner with data scientists, engineers and designers to ensure robust, scalable AI implementations.
• Support AI initiatives across Vernova HQ to drive innovation and operational excellence.
• Define and track KPIs to measure the success and impact of AI solutions.
• Gather feedback, monitor performance and iterate on features to enhance value delivery.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• Demonstrated leadership in managing cross-functional teams and complex projects.
• Strong business acumen with the ability to align technical solutions with strategic goals.
• Excellent analytical, problem-solving and decision-making skills.
• Experience in building and scaling AI applications in enterprise environments.

Nice to have

• Proven experience designing and deploying cloud-based AI solutions.
• Strong understanding of aligning AI architecture with business objectives.
• Familiarity with automation, DevOps practices and cloud-native AI tools.
• Ability to adapt AI applications to Microsoft primary and AWS cloud platforms.
• Expertise on Databricks services and the Microsoft AI solution ecosystem.
• Excellent collaboration and communication skills, including stakeholder engagement at all levels.
• Proactive in identifying risks, resolving issues and driving continuous improvement.
• Open to new ideas and innovative approaches to problem-solving.
• Experience with GE or GE Vernova.

Details

• Location: Bengaluru.
• Relocation assistance provided.