AI Solutions Engineer

Job Title: Senior AI Solutions Engineer 

Position Summary:

The Michael J. Fox Foundation for Parkinson’s Research (“the Foundation”) is seeking top talent for its Senior AI Solutions Engineer position. This position at The Michael J. Fox Foundation for Parkinson’s Research (“the Foundation”) designs, builds, and supports AI-enabled applications, integrations, and workflows across the organization. The role applies generative AI, programming, systems integration, workflow automation, and low-code development to practical business needs.  

This is a hands-on, technical role that works with business and technical teams to identify use cases, develop secure and maintainable solutions, and move successful prototypes into supported production use. The position collaborates with senior technical staff on higher-risk or more complex designs.

Key Responsibilities: 

• Work with partners to identify and assess organizational needs that could benefit from AI. 

• Translate business needs into functional requirements and practical solution designs partnering with senior technical staff on higher-risk or more complex designs as needed 

• Design, build, test, deploy, document, and maintain AI-enabled applications, integrations, and workflows. 

• Apply AI capabilities such as classification, extraction, summarization, content generation, knowledge retrieval, question answering, and task completion. 

• Connect AI models with organizational systems and data using code, APIs, scripts, connectors, and low-code platforms. 

• Develop and test prototypes, then advance successful concepts into secure, supported production solutions, incorporating peer and senior technical review as appropriate. 

• Partner with departmental stakeholders to evaluate outputs for accuracy, relevance, consistency, cost, and suitability. 

• Improve reliability and safety through grounding, business rules, validation, exception handling, human review, and appropriate access controls. 

• Monitor and refine deployed solutions as needs, data, models, and supporting technologies change. 

• Explain AI capabilities, limitations, costs, and risks clearly, including when a non-AI approach would be more appropriate. 

• Code reusable components and established practices that support efficient, responsible AI delivery. 

Qualifications and Skills: 

• Relevant experience developing applications, integrations, automated workflows, or other technical solutions using generative AI tools, APIs, frameworks, or platforms