Location: ALBANY, NY Category: System Administration Job Type: Full-time Posted On: Thu Nov 5 2026 Job Description:
Job Title: AI Solutions Architect
Office/Location: Office of Research, Innovation and Economic Development/System Administration
This position will by Hybrid based out of the SUNY System Administration Building in Albany, NY
Job Summary:
The Office of Research is modernizing its technical infrastructure through the launch of NYS-funded research infrastructure including the SUNY AI Platform, SUNY Research Connect, and a Research Data Repository. Each of these research infrastructure elements are direct recommendations from the SUNY STRIVE Task Forces. Specifically, the SUNY AI Platform is designed to advance research, discovery, and innovation through the building of a safe, secure, SUNY-managed technology stack. The SUNY AI Platform expands beyond HPC access to include managed services and tools that democratize access to AI fulfilling SUNY's mission to advance AI for the public good.
SUNY RF is seeking a candidate to drive the scalability, continuous improvement, and strategic application of research infrastructure. This role is split evenly between managing our technical platform architecture and building advanced, AI-driven applications to support research intelligence. The ideal candidate will be a technical leader capable of designing agentic workflows, leveraging data APIs, and providing technical direction for campus researchers, internal teams, and external vendors.
This position will complement our team of a Director, Associate Director, and Senior Data Strategist and will play a key role in supporting and building upon this transformative foundation. The AI Solutions Architect provides the technical expertise necessary to develop and maintain software applications, data systems, and automated reporting frameworks that support the SUNY AI Platform. The AI Solutions Architect may also collaborate with a Senior Strategic Research Project Manager.
Job Duties:
- Inform Build of Platform Architecture: Inform the technical evolution of the three-tier stack SUNY AI Platform to ensure scaling with SUNY System and campus needs.
- Technical lead: Provide technical expertise in the possibilities of AI application to inform vendor project management, scope, and prioritize or develop new use cases.
- Compute Resource Deployment: Support the management and deployment of available compute resources (e.g., Google Cloud Platform). Assist with Continuous Use Discounts or other resource distribution and build shareable service menus for research services offered through SUNY's cloud infrastructure.
- Enhancing GrantAI: Drive the technical roadmap for GrantAI, integrating generative AI with SUNY Research Connect and ORIED data to provide more precise grant-matching, project teaming, and proposal drafting
- Advanced Data Modeling: Construct and maintain logical data models, including comprehensive flowcharts and block diagrams mapping complex data pipelines.
- Research Intelligence Tools: Co-design and implement technical tools that leverage research administration data and apply AI/ML techniques to support horizon scanning and research intelligence for the SUNY System.
- Agentic Workflow Development: Develop and deploy AI agents to automate complex research administration tasks, improve search functionality, update the SUNY AI Platform support agent, provide expertise to SUNY researchers utilizing the platform.
- Work in a high-paced team environment with the ability to multitask when required based on project plan and business priorities
Job Requirements:
Required Education/Qualifications:
- Bachelor's degree in a relevant field (mathematics, computer science, information studies, information science, business, statistics, or related field)
- 1-2 years of professional programming or data analysis experience
- An equivalent combination of education and experience may be accepted
- Strong technical skills with proficiency in data management, computer programming, or database administration
- Knowledge of programming in Java, Python, JavaScript, CSS, HTML, SQL, Flask, MongoDB, NodeJS, Express, React, PyTorch, or TensorFlow
- Experience with JSON and XML for advanced data loading, structured reporting, and cross-platform information exchange
- Strong analytical, critical thinking, and problem-solving skills, with the ability to interpret complex data
- Experience working with complex data sets of various types and from disparate sources
- Professional experience managing GitHub repositories, including the use of branching strategies, pull requests, and code review workflows
- Experience with cloud service providers and tools within Google (Google Cloud Platform, Model Garden, Compute Engine) or Microsoft Environments (Power Query, Azure SQL Server, Data Factory, Microsoft Fabric, or cloud database) or AWS
Preferred Education/Qualifications:
- Master's degree in a relevant field (mathematics, computer science, information studies, information science, business, statistics, or related field) with coursework in Artificial Intelligence and Machine Learning
- 2-3 years of professional programming or data analysis experience
- Knowledge of data visualization techniques and methodologies
- Understanding of and experience with basic artificial intelligence, machine learning, or predictive analytic techniques and tools.
- Understanding and experience creating knowledge graphs, MCP servers, agents, and AI models
- Experience with APIs
Compensation- $65,000 to $75,000
Additional Information:
As an Equal Opportunity / Affirmative Action Employer, The Research Foundation for SUNY will not discriminate in its employment practices due to an applicant's race, color, creed, religion, sex, pregnancy-related conditions, reproductive health decisions, childbirth or related medical conditions, sexual orientation, gender identity or expression, transgender status, age, national origin or ancestry, marital status, familial status, citizenship, physical and mental disability, prior arrest or conviction record, genetic characteristics/genetic information, predisposition or carrier status, domestic violence victim status, military status or service, veteran status, or any other characteristics protected under federal, state or local law.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Review of applications will begin immediately and continue until the position is filled.
The Research Foundation for the State University of New York is not an agency or instrumentality of the State of New York. Employees of the Research Foundation for the State University of New York are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. The Research Foundation for the State University of New York operates under a contract with The State University of New York and receives no directly appropriated state funding.
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