Oak Ridge National Laboratory · 8 hours ago
Artificial Intelligence Developer (Hybrid Eligible)
Oak Ridge National Laboratory is seeking an AI Developer to design, develop, and deploy AI/ML tools and analytics that enhance business operations and scientific decision-making. The role requires collaboration with stakeholders to gather requirements, develop AI solutions, and ensure ethical use of AI in accordance with ORNL policies.
Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy
Responsibilities
Development and support of models utilizing AI/ML and Microsoft Azure related Power apps, including CoPilot Studio
Collaboration with business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements
Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and solution methods. LLM/GPT CI/CD pipelines and diagnostic monitoring for clients or set up for client self-monitoring
Ethical and responsible use of AI in line with ORNL policy and guidelines
Collaboration with other DOE labs and private sector companies to understand and mature ORNL capabilities
Become the Go-To DOE lab for AI/ML best practices across lab domains
Adherence to ORNL and ITSD software quality assurance standards and ITIL effective practices
Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL guidelines
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
Qualification
Required
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 aligned experience, with the last 2-3 three years in the AI/ML arena, 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 aligned experience with the last 2-3 three years in the AI/ML arena. PhD holders should have four (4) to six (6) years of relevant and aligned experience with the last 2-3 three years in the AI/ML arena
Prior demonstrated AI/ML development and deployment in independent cloud and on-premise environments including requirements gathering, design, and deployment of reporting solutions
The candidate must demonstrate experience creating AI solutions like Azure AI Foundry, MS Azure Open AI Studio, Azure SQL, and Open Source LLMs like Meta's LLama family
The candidate must demonstrate experience with Microsoft CoPilot, OpenAI tools and API's for GPT creation, Hugging Face, LangChain, Large Language Models, Generative AI or similar tools
The candidate must demonstrate a deeply curious approach toward novel development, planning, support, design, modification and testing of data warehouse cubes, models, dimensions, measures, views and reports
The candidate must demonstrate being a results-motivated, curious, self-starter who is comfortable working in a project-based environment
The candidate must demonstrate the attitude of an analytical doer that creatively problem solves through innovation as work demands
The candidate must demonstrate excellent relational client-facing skills, effective exploratory analytical thinking, and attention to detail
The candidate must demonstrate a strong emphasis in delighting customer and end-user needs
Preferred
Active DOE Q clearance
Understanding of multidimensional and tabular modelling, vector databases, Graph DB
Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow
Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others
Knowledge of current ORNL business processes and applications (or similar) is a bonus
Knowledge of Microsoft SharePoint technologies is a bonus
Benefits
Medical and retirement plans
Flexible work hours
On-site fitness
Banking
Cafeteria facilities
Prescription Drug Plan
Dental Plan
Vision Plan
401(k) Retirement Plan
Contributory Pension Plan
Life Insurance
Disability Benefits
Generous Vacation and Holidays
Parental Leave
Legal Insurance with Identity Theft Protection
Employee Assistance Plan
Flexible Spending Accounts
Health Savings Accounts
Wellness Programs
Educational Assistance
Relocation Assistance
Employee Discounts
Company
Oak Ridge National Laboratory
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems.
Funding
Current Stage
Late StageTotal Funding
$9.8MKey Investors
US Department of Energy
2023-09-21Grant· $4.8M
2023-07-27Grant
2022-03-14Grant· $5M
Leadership Team
Recent News
2025-12-13
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