Job Description
The AI Solutions Architect at Savannah River National Laboratory Office (SRNL) of the Chief Information Officer (OCIO) will play a critical role in designing, integrating, and optimizing artificial (AI) solutions across the laboratory’s operations and mission areas. This mid-career professional will serve as a bridge between business objectives and technical execution, ensuring that AI initiatives align with organizational goals, integrating seamlessly into existing infrastructure, and anticipate future infrastructure and scalability needs. The position requires a strong mix of technical expertise, strategic planning, and collaboration with both technical and non-technical stakeholders to ensure AI solutions are effective, secure, and sustainable.
- Align AI solutions with SRNL’s mission, business objectives, and strategic goals.
- Ensure seamless integration of AI tools and platforms into current IT and data environments.
- Work with DOE stakeholders and approval bodies to streamline adoption of AI tools.
- Anticipate and plan for future infrastructure and scalability needs to support AI growth.
- Support SRNL in building secure, compliant, and high-performing AI environment across mission areas.
- Foster cross-functional collaboration to maximize the impact of AI investments.
Responsibilities
- Architect and design AI solutions that address SRNL’s mission-critical challenges.
- Collaboration with internal teams to identify AI use cases and tool requirements.
- Work with DOE approval processes to evaluate, pilot, and adopt AI tools.
- Ensure AI solutions meet DOE cybersecurity, compliance, and governance requirements.
- Plan infrastructure upgrades, including hybrid cloud and HPC environments, to support AI adoption.
- Develop solution roadmaps, reference architectures, and technical standards for AI.
- Provide technical guidance and mentorship to SRNL project teams.
- Document solution approaches, approval pathways, and lessons learned to accelerate future adoptions.
Qualifications
Minimum Qualifications
- Bachelor’s degree in computer science, information systems, data science, engineering, or a related STEM technical field.
- 5-8 years of experience in solutions architecture, AI/ML systems, or enterprise IT integration.
- Proficiency with AI/ML concepts and common tools (e.g. Python, TensorFlow, PyTorch, scikit-learn).
- Understanding of enterprise IT concepts such as APIs, cloud services, and data integration.
- Strong understanding of cloud platforms (Azure, AWS, GCP) and hybrid environments.
- Experience navigating compliance or governance processes for IT/AI tools.
- Excellent written and verbal communication skills for technical and non-technical audiences.
- For ability to obtain and maintain a security clearance, US Citizenship is Legally Required
Preferred Qualifications
- Master’s degree in related technical field.
- Experience in a national lab, government, or regulated enterprise environment.
- Familiarity with DOE approval processes, cybersecurity standards, and governance structures.
- Experience with MLOps, AI model lifecycle management, and enterprise adoption.
- Knowledge of HPC, edge computing, and hybrid-cloud AI deployment.
- Certifications in cloud or enterprise architecture (e.g., Azure Solutions Architect).
- Demonstrated success in securing approval and deploying enterprise AI solutions in complex environment.
About Us
"We put science to work!"
Savannah River National Laboratory (SRNL) is a multi-program laboratory applying state of the art science and practical, high-value, cost-effective solutions to complex technical problems to protect the nation. Located at the U.S. Department of Energy’s (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops and deploys innovative technologies to address some of the nation’s environmental, energy, and national security challenges.
Battelle Savannah River Alliance (BSRA) is constantly assessing trends to provide the best possible benefits to our workforce. We also negotiate cost effective premiums that will meet the needs of our evolving workforce.
Some of the *Benefits offered to employees include:
- Benefits vary based upon employment status
- Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
- Short- & Long-Term Disability (company paid)
- Life Insurance Non-Contributary 1X salary (company paid)
- AD&D Non-contributary 1x salary (company paid)
- Savings & Investment plan:
- Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
- Company match 50 cents/dollar up to 8% (3 yrs. vesting in company match)
- Contributory Life Insurance up to 5x Salary with $1M Cap
- Contributory AD&D (employee, spouse and children)
- Paid Time Off
- Employee Assistance Plan
- SRNL offers a competitive relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions.
For more information about our benefits, working here, and living here, visit the
“About” tab at www.srnl.doe.gov .
BSRA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. BSRA is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. Please email us at SRNLRecruiting@srnl.doe.gov with any questions regarding the hiring process or to request an accommodation.
About The Team
Chief Information Office (CIO) team supports SRNL in achieving mission and business goals of this National Laboratory. Our team provides digital solutions along with virtual infrastructure. Dynamic team providing growth opportunity to support cutting edge research and development and solve nation state problems. Ability to work across multiple federal customers. Solutions range from commercial off the shelf and custom written including cloud based solutions.
