Staff AI Solution Architect

Switzerland Global Enterprise

Staff AI Solution Architect leading design and support of AI-driven enterprise applications across global functions at GE Vernova. Responsible for end-to-end ownership of AI components leveraging Databricks and AWS.

Posted 5/8/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

The Staff AI Solution Architect will be responsible for leading the design, development, and support of AI-driven enterprise applications and services that enable data analytics across global functions—including Finance, Treasury, Sourcing, and Enabling Functions.
This role entails end-to-end ownership of AI components, encompassing architecture, testing, documentation, and deployment within large-scale data analytics programs.
The architect will leverage technologies such as Databricks and AWS to build scalable, standardized AI solutions that deliver measurable value through the Safety, Quality, Delivery, and Cost (SQDC) framework, with a strong emphasis on the impact of AI initiatives on business.
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 AWS.
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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

Relocation Assistance Provided

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutions designcloud-based AI solutionsAI architectureautomationDevOps practicescloud-native AI toolsDatabricksdata analyticsKPI trackingGDPR compliance

Soft Skills

collaborationcommunicationstakeholder engagementproactive problem-solvingleadershipbusiness acumenanalytical skillsdecision-makingcontinuous improvementinnovation