Senior Artificial Intelligence Architect (Hybrid)

Requisition Id 14587 

­­Overview:  

Oak Ridge National Laboratory (ORNL) is seeking a Senior AI Architect to lead the design, development, and implementation of advanced AI/ML architectures and solutions. This position is critical to driving ORNL’s mission to harness artificial intelligence for enhancing business operations, scientific research, and decision-making capabilities. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate.

 

As part of the AI Operations Program office, you will collaborate with cross-functional teams to architect scalable, robust, and innovative AI/ML systems. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments.

 

 

Major Duties/Responsibilities: 

• Design and define the end-to-end architecture for AI/ML solutions, ensuring scalability, performance, and alignment with ORNL’s strategic goals and architectural principles and guidelines. 
• Lead the development and optimization of enterprise AI/ML solution frameworks, focusing on Microsoft Azure OpenAI, LLMs, and generative AI technologies.
• Develop comprehensive roadmaps for operational AI solution adoption and integration across business, operational, and research domains.
• Establish best practices for AI/ML lifecycle management, including model training, deployment pipelines (CI/CD), and diagnostic monitoring within Enterprise Architectural principles and guidelines.
• Collaborate with stakeholders to gather requirements, translate business and scientific needs into applied architectural solutions, and ensure seamless implementation.
• Define and implement AI/ML solutions that align with a robust master data management strategy to ensure data integrity, security, and accessibility, aligning with both Enterprise Data Governance and Enterprise Data Strategy.
• Provide thought leadership by analyzing emerging AI/ML trends and recommending technologies to the architectural community which drives innovation and efficiency.
• Foster partnerships with other DOE labs and industry leaders to mature ORNL’s AI capabilities and establish leadership in AI/ML best practices.
• Ensure compliance with ORNL’s policies and guidelines, particularly in the ethical and responsible use of AI.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of relevant and aligned experience is required for consideration. An overall combination of equivalent experience may be considered.
  • Masters and PhD degree holders in the same fields of study are also encouraged to apply:
    • Masters’ holders should have seven (7) to ten (10) years of relevant and aligned experience.
    • PhD holders should have four (4) to six (6) years of relevant and aligned experinece.
• Demonstrated expertise in designing and implementing AI/ML architectures.
• Strong knowledge of Microsoft Azure (e.g., OpenAI Studio, Azure SQL, AI/ML tools).
• Experience with generative AI, LLMs, and frameworks like Hugging Face or LangChain.
• Proficiency in Python, PyTorch, TensorFlow, and modern AI/ML