Staff AI Solution Architect
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Job Location:
Monthly Salary:
Posted on:
13 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
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 functionsincluding 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.Job Description
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 AWS.
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 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.
Education & Experience
Bachelors 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
Required Experience:
Staff IC
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.
