Senior AI/ML Architect

Job Description Summary

The Senior AI/ML Architect is a visionary leader responsible for defining and delivering scalable, innovative AI solutions for Gas Power Controls. This role entails architecting systems that leverage advanced AI to solve complex business problems and enable transformative applications. You will lead development of products supporting power producing customers and support enterprise-scale AI initiatives leveraging Bedrock foundational models, Azure OpenAI, Google Gemini, and Open Weight models. The core platform is based on AWS, with additional integrations into Azure for specific AI use cases.

The Senior AI/ML Architect works closely with product owners, data scientists, and software development teams to design frameworks, deploy applications, and ensure seamless integration with enterprise systems. As a technical authority, this role emphasizes system scalability, high performance, security, and ethical considerations. You will guide teams in adopting generative AI technologies, mentor engineering teams, and drive innovation to deliver a competitive edge.

GE Vernova Gas Power Controls is driving strategy and leading product 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.

Responsibilities

Job Description

• Architect and oversee the development of robust, scalable systems using generative AI models.
  
  
• Collaborate with stakeholders to define business requirements and technical specifications for generative AI applications.
  
  
• Guide the selection, customization, and optimization of state-of-the-art generative AI models.
  
  
• Design a system to maintain deployed solutions at customer sites.
  
  
• Develop end-to-end pipelines for inference and monitoring in production environments.
  
  
• Ensure systems meet high standards for performance, scalability, and security while adhering to data privacy regulations.
  
  
• Lead the implementation of APIs, microservices, and frameworks to integrate AI models into enterprise solutions.
  
  
• Design scalable and efficient architectures for generative AI models, applications, and workflows.
  
  
• Ensure seamless integration of Generative AI capabilities into existing systems.
  
  
• Provide mentorship to engineering teams, fostering expertise in AI and software architecture.
  
  
• Design and maintain platforms to handle large-scale solution applications in collaboration with legal/compliance teams
  
  
• Define architectural best practices to mitigate risks associated with Generative AI (e.g., model hallucinations)
  
  
• Align AI architecture with organizational goals and contribute to strategic technology roadmaps.
  
  
• Document architectural designs, workflows, and decisions for transparency and scalability.
  
  

Required

• Bachelor’s degree or higher in a relevant discipline.
  
  
• 8 years of experience within software engineering or a related field.
  
  
• Authorized to work in the United States; sponsorship is not supported for this role.
  
  

Desired

• Deep understanding of LLM integration patterns (RAG, Agents, Tool-use) and Prompt Engineering strategies.
  
  
• Expertise in designing scalable, distributed architectures for AI systems.
  
  
• Strong experience with cloud computing platforms (AWS, Azure, GCP) and containerization (Kubernetes, Docker).
  
  
• Knowledge of on-prem/disconnected deployments, containerization on bare metal, and hardware constraints.
  
  
• Familiarity with large-scale distributed systems and database technologies.
  
  
• Experience in creating technical design documents and implementation playbooks for target-state AI solutions within cloud environments based on
  
  
• Experience translating business requirements into technical solution designs
  
  
• Thorough understanding of integration platforms and protocols (e.g., REST, SOAP, HTTP, UDP, ETC.)
  
  
• Proficiency in designing RESTful APIs and GraphQL endpoints for AI services.
  
  
• Knowledge of API development, microservices architecture, and DevOps practices.
  
  
• Proficiency in MLOps/LLMOps and model lifecycle management, including CI/CD pipelines for training, testing, and deploying AI models at scale.
  
  
• Performance optimization for AI/ML workloads, including GPU/TPU acceleration, model quantization, pruning, and distillation.
  
  
• Observability & Monitoring of AI pipelines, encompassing logging, tracing, and metrics to detect drift, anomalies, or performance bottlenecks.
  
  
• Security, Privacy, and Compliance knowledge, with an understanding of data governance (GDPR, HIPAA, SOC 2) and secure model serving.
  
  
• Proven track record of designing scalable Generative AI use case solutions.
  
  
• Exceptional leadership, strategic thinking, and problem-solving abilities.
  
  
• Excellent communication skills for engaging with stakeholders across technical and business domains.
  
  
• Strong oral and written communication skills.
  
  
• Strong interpersonal and leadership skills.
  
  
• Demonstrated ability to analyze and resolve problems.
  
  
• Demonstrated ability to lead programs / projects.
  
  
• Ability to document, plan, market, and execute programs.
  
  

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

For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on May 08, 2026.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.