Staff AI Solution Architect

GE Vernova; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

GE Vernova in Bengaluru is seeking a Staff AI Solution Architect to lead the design, development and support of AI-powered enterprise applications enabling data analytics across global functions. You will own AI components end-to-end, leveraging Databricks, AWS and Microsoft AI Foundry to deliver measurable value.

You will collaborate with Data Architecture, Analytics and engineering teams to create scalable solutions aligned with business strategy and governance, including GDPR, SOX, and

Qualifications

• Bachelor's degree in CS/Engineering/Math or related field.
• Experience designing and deploying cloud-based AI solutions.
• Leadership in cross-functional teams and complex projects.
• GE or GE Vernova experience preferred.
• Excellent stakeholder engagement and communication skills.

Responsibilities

• Lead design, development, and support of AI-driven enterprise applications.
• Develop architecture roadmaps and align with business goals.
• Translate business needs into architectural requirements.
• Collaborate with service providers to build AI solutions.
• Ensure compliance with GDPR, SOX, and Responsible AI guidelines.
• Explore new AI technologies to enhance solution design.

Skills

Strategic collaboration

Architecture alignment

Cross-functional leadership

Business acumen

Communication

Problem solving

Education

Bachelor's degree in CS/Engineering/Math

Tools

Databricks

Microsoft AI Foundry

AWS

Job description

Job Description Summary

Verantwortlich für die abgestimmte Zusammenarbeit mit Anwendungs- oder Domänenführern, die als leitender technischer Produktmanager fungieren, um eine klare strategische Ausrichtung zu erstellen, die vom Produktentwicklungsteam festgelegt wird. Sie arbeiten mit dem Team zusammen und stellen klare und festgelegte Anforderungen, um die Bereitstellung von Produktmerkmalen und ‑funktionalität zu ermöglichen. Ihre Priorität ist die nahtlose Integration und Ausrichtung der Perspektiven eines breiten Spektrums von Stakeholdern, einschließlich, aber nicht beschränkt auf: Kunden, Prozesseigentümer, Unternehmensarchitekten, Anwendungsmanager, Entwicklungsteams und technische Architekten.

Job Description

The Staff AI Solution Architectwill 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 entailed 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, Microsoft data fabric, Microsoft AI Foundary 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.

Key Responsibilities

• 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 Microsoft.
• Performance & Security Oversight: Monitor deployed solutions to ensure optimal performance and security compliance.

Additional Responsibilities

• 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.

Desired Qualifications & Characteristics

• 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 of Microsoft primary and AWS.
• Expertise on Databricks services and 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.

Education & Experience

• 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.

Additional Information

Relocation Assistance Provided: Yes