Senior Enterprise Architect - Generative AI

Job Description Summary
The Senior Generative AI Enterprise Architect is a strategic leader responsible for defining and implementing enterprise-wide strategies to harness the power of generative AI technologies. This role involves designing and overseeing the integration of AI solutions into core business processes and IT ecosystems to drive innovation and deliver transformative results.
The Senior Architect works with C-level executives, business leaders, and technical teams to align AI initiatives with long-term organizational goals. With deep expertise in enterprise architecture and generative AI, this role focuses on creating scalable, secure, and ethically sound systems that deliver measurable business value. As a thought leader, you will shape the future of AI adoption within the organization and guide teams toward realizing its full potential.

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Job Description

Roles & Responsibilities:

• Coordinate Tech Council, ensuring that our teams are driving the principles of re-use, scalability and maintainability as we design and deploy GenAI solutions.
• Act as the primary liaison with the Chief Information Security Officer (CISO) and Chief Technology Officer (CTO) teams align security and technology strategies across the organizations.
• Design and implement scalable, secure, and robust enterprise architectures for Generative AI systems that integrate with enterprise IT ecosystems.
• Work with business and IT stakeholders to define and execute a comprehensive generative AI strategy that aligns with organizational goals.
• Design and maintain an enterprise AI architecture framework to support scalable, efficient, and secure AI solutions.
• Collaborate with business leaders to identify high-impact use cases for generative AI technologies.
• Lead the integration of generative AI systems into enterprise IT infrastructure and workflows.
• Establish architectural blueprints and best practices for deploying GenAI solutions across various business domains.
• Guide teams in optimizing AI models for performance and cost, focusing on inference speed and resource efficiency.
• Oversee the delivery and monitoring of AI systems to ensure they meet operational and performance benchmarks.
• Partner with stakeholders across the enterprise to create AI-driven solutions that deliver measurable ROIs.
• Operationalize and enforce organizational AI governance frameworks to ensure ethical, secure, and compliant use of Generative AI.
• Evaluate and recommend third-party tools, platforms, and partnerships for Generative AI initiatives.
• Manage relationships with vendors, ensuring alignment with enterprise requirements and scalability.
• Advocate for innovation and foster a culture of AI adoption across the organization.
• Stay updated on emerging trends in Generative AI to guide and maintain a roadmap for generative AI projects, ensuring scalability and innovation.

Key Technical Skills:

• Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, etc.
• Advanced knowledge of generative AI platforms (e.g., GPT, DALL E, Stable Diffusion) and frameworks.
• Deep understanding of Generative AI models (e.g., Transformers, Large Language Models (LLMs) like GPT, Claude, Llama, etc.)
• Expertise in enterprise architecture methodologies (e.g., TOGAF, Zachman) and IT systems design.
• Familiarity with Natural Language Processing (NLP), Computer Vision, and Multimodal AI systems.
• Understanding of GPU/TPU-based acceleration and optimization techniques.
• Familiarity with MLOps workflows, including CI/CD pipelines for AI systems.
• Expertise in designing scalable data pipelines for training large AI models.
• Strong knowledge of vector databases and embedding search tools (e.g., PG Vector, Amazon Titan, Azure Doc intelligence etc.).
• Familiarity with cloud-based AI/ML services (e.g., AWS Sagemaker, Azure ML, Google Vertex AI) and AI orchestration tools
• Strong experience with cloud platforms, data lakes, and enterprise data management systems.
• Ability to design scalable, modular, and secure AI architectures that integrate with enterprise IT ecosystems.
• Knowledge of APIs, microservices, and middleware to enable seamless GenAI application deployment.
• Deep understanding of AI governance, security, and compliance.
• Strong understanding of domain-specific applications for generative AI (e.g., content generation, chatbots, digital twins, design automation).
• Proficiency in integrating AI models into enterprise workflows and IT ecosystems.
• Proficiency in collaborating with cross-functional teams, including data scientists, ML engineers, and business stakeholders.

Position Requirements:

• Master's degree or higher in Computer Science, Business Administration, or related fields (Ph.D. preferred).
• 12+ years of experience in enterprise architecture and AI leadership roles.
• Demonstrated success in leading AI initiatives and delivering large-scale solutions.
• Exceptional strategic thinking, analytical, and communication skills.
• Proven experience as an enterprise architect for a Global Organization
• Must be willing to work out of an office located in Niskayuna, NY.
• Legal authorization to work in the U.S. is required. We will not sponsor applicants at the Master's level, now or in the future, for this job opening.
• Must be 18 years or older.
• You must submit your application for employment at to be considered.

The salary range for this position is $161,000 - $242,000 USD, annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate's experience, their education, and the work location. This position is also eligible for a performance bonus. This position will remain posted until at least September 20th, 2025.

GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes