Strategic Collaboration: Engage in technical and business discussions to shape the future of AI solution architecture.
Architecture Planning: Analyze current and future states to develop implementation roadmaps for AI solutions.
Requirements Gathering: Translate business needs into architectural requirements and contribute to infrastructure governance.
Solution Development: Partner with service providers to build AI solutions aligned with project goals and enterprise standards.
Compliance & Standardization: Ensure AI solutions adhere to architectural frameworks and comply with GDPR, SOX, and Responsible AI guidelines.
Technology Adoption: Research emerging AI technologies and trends to enhance solution design, and explore new capabilities in Databricks and AWS.
Performance & Security Oversight: Monitor deployed solutions to ensure optimal performance and security compliance.
Solution Ownership: Collaborate with cross-functional teams, including Data Architecture and Analytics, to define and execute AI solution roadmaps aligned with business strategy.
Product Roadmap Input: Work with product managers and data architects to shape analytics product roadmaps.
Technical Integration: Partner with data scientists, engineers, and designers to ensure robust, scalable AI implementations.
Enterprise Coordination: Support AI initiatives across Vernova HQ to drive innovation and operational excellence.
Data-Driven Insights: Define and track KPIs to measure the success and impact of AI solutions.
Post-Launch Optimization: Gather feedback, monitor performance, and iterate on features to enhance value delivery.
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 cloud platforms such as AWS.
Working knowledge of Databricks services supporting the 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.
Bachelor’s degree in Computer Science, Engineering, Mathematics, (or a related field), or equivalent knowledge or experience.
Experience with GE or GE Vernova is highly preferred.
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.
Relocation Assistance Provided: Yes
Skills Required
- 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 cloud platforms such as AWS
- Working knowledge of Databricks services supporting the AI solution ecosystem
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
