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GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy.
The Role
The Sr Staff Enterprise AI Architect leads the design and standardization of scalable AI solutions, guides implementation teams, and ensures alignment with enterprise standards across business initiatives.
Summary Generated by Built In
Job Description SummaryThe Sr Staff Enterprise AI Architect will lead the design, standardization, and scaling of enterprise-grade AI solutions across strategic business initiatives. This role will define reusable AI architecture patterns, guide implementation teams on modern AI/GenAI approaches, and ensure alignment with enterprise standards for scalability, security, reliability, observability, and cost optimization.
The ideal candidate brings deep expertise in Generative AI solution architecture, Retrieval-Augmented Generation (RAG), agentic AI systems, LLM orchestration, enterprise data integration, and AI platform engineering. This individual will work closely with business, product, data, and engineering teams to accelerate the adoption of reusable AI capabilities and production-ready AI solutions across the enterprise.Job DescriptionRoles & Responsibilities
The ideal candidate brings deep expertise in Generative AI solution architecture, Retrieval-Augmented Generation (RAG), agentic AI systems, LLM orchestration, enterprise data integration, and AI platform engineering. This individual will work closely with business, product, data, and engineering teams to accelerate the adoption of reusable AI capabilities and production-ready AI solutions across the enterprise.Job DescriptionRoles & Responsibilities
- Define and drive enterprise AI architecture strategy across multiple business domains and AI initiatives.
- Architect scalable, reusable, and secure AI/GenAI solution patterns for enterprise adoption.
- Lead solution design for Generative AI/ Physical AI/ Vision AI applications including RAG pipelines, agentic workflows, AI copilots, document intelligence, and enterprise search.
- Establish enterprise standards for:
- Model selection and orchestration
- Prompt engineering and prompt management
- Chunking and embedding strategies
- Hybrid retrieval approaches
- Vector database integration
- Agentic orchestration frameworks
- AI observability, evaluation, and monitoring
- Guide teams on advanced retrieval architectures, semantic search, non-sequential document understanding, and contextual information extraction.
- Design reusable AI services and accelerators that can be leveraged across multiple use cases and business units.
- Collaborate with enterprise platform, cloud, data, and cybersecurity teams to ensure AI solutions align with enterprise architecture and governance standards.
- Standardize integration patterns with enterprise systems including data lakes, ERP systems, workflow platforms, and operational applications.
- Drive architectural decisions balancing scalability, maintainability, performance, security, and cost efficiency.
- Define enterprise AI evaluation frameworks covering accuracy, hallucination tracking, latency, reliability, and operational KPIs.
- Influence AI platform roadmap and foundational AI services by providing architectural guidance and identifying capability gaps.
- Conduct architecture reviews and provide technical leadership for critical AI programs and production deployments.
- Partner with engineering and product teams to accelerate AI solution delivery through reusable frameworks and best practices.
- Mentor and upskill engineering teams on enterprise AI architecture patterns, GenAI best practices, and emerging AI technologies.
- Stay current with evolving AI ecosystem trends, frameworks, foundation models, and enterprise AI architectural practices.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related technical discipline from an accredited institution.
- Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field is preferred.
- 12+ years of experience in enterprise software architecture, platform engineering, or digital technology leadership roles.
- 5+ years of experience in AI/ML solution architecture with strong focus on enterprise AI and Generative AI systems.
- Strong expertise in:
- Generative AI and LLM-based solution architecture
- Retrieval-Augmented Generation (RAG)
- Agentic AI frameworks and orchestration
- Prompt engineering and evaluation techniques
- Vector databases and semantic retrieval systems
- AI observability and evaluation frameworks
- Experience designing enterprise-scale AI platforms on major cloud providers such as Amazon Web Services / Microsoft Azure
- Strong understanding of enterprise data architecture, APIs, integration patterns, and distributed systems.
- Experience integrating AI solutions with enterprise platforms such as Databricks, ERP systems, document repositories, and operational systems.
- Familiarity with modern AI/ML frameworks and orchestration technologies such as LangChain, LangGraph, Semantic Kernel, or equivalent frameworks.
- Strong understanding of AI governance, security, responsible AI, and enterprise compliance considerations.
- Demonstrated ability to influence technical strategy and drive alignment across cross-functional engineering and business teams.
- Excellent communication, stakeholder management, and executive presentation skills.
- Ability to operate effectively in fast-paced, highly collaborative, and ambiguous environments.
- Strong problem-solving mindset with the ability to balance innovation with pragmatic enterprise delivery considerations.
Relocation Assistance Provided: Yes
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline
- Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
- 12+ years of experience in enterprise software architecture, platform engineering, or digital technology leadership roles
- 5+ years of experience in AI/ML solution architecture with strong focus on enterprise AI and Generative AI systems
- Strong expertise in Generative AI and LLM-based solution architecture
- Experience designing enterprise-scale AI platforms on major cloud providers
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
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The Company
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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