Senior Generative AI Enterprise Architect
Senior Generative AI Enterprise Architect
Posted on :
17-04-2025
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1 Vacancy
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Job Description
Job Description Summary
The Senior Generative AI Enterprise Architect is a strategic leader responsiblefor defining and implementing enterprisewide 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 Clevel executives business leaders and
technical teams to align AI initiatives with longterm 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
businesss mission to help power the energy transition. We forge the
collaborations and help invent the technologies required to electrify and
decarbonize for a zerocarbon future.
Representing virtually every major scientific and engineering discipline our
researchers are collaborating with GE Vernovas businesses the U.S.
government and more than 420 entities at the forefront of technology to execute
on 150 energyfocused 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 reuse 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 to 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 highimpact 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 AIdriven 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 thirdparty 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 DALLE 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/TPUbased 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 cloudbased 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 domainspecific 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 crossfunctional teams including data scientists ML engineers and business stakeholders.
Position Requirements:
- Masters 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 largescale 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 Bangalore India.
Additional Information
Relocation Assistance Provided: Yes
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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