Forward Deployed Engineer

AI Application Development and Engineering:Design, develop, test, and deploy AI-powered applications that address academic, research, and administrative needs across the university.Build full-stack software solutions using modern programming languages and frameworks, including Python, JavaScript/TypeScript, and related technologies.Develop backend services, REST APIs, user-facing applications, and integrations that incorporate large language models (LLMs), generative AI, and other emerging AI capabilities.Integrate AI models and services from providers such as OpenAI, Anthropic, Microsoft Azure, Google, and other platforms into applications and institutional workflows.Develop applications incorporating AI capabilities such as retrieval-augmented generation (RAG), agentic workflows, tool calling, and structured data processing.Design software architectures that prioritize reliability, maintainability, security, and scalability.Implement authentication, authorization, and secure data-handling practices when integrating applications with university systems and services.Develop automated tests, participate in code reviews, and apply software engineering best practices to maintain application quality.Troubleshoot application issues, investigate unexpected AI model behavior, and implement improvements to enhance functionality and reliability.Create reusable software components, development templates, and shared libraries that accelerate future AI application development.Campus AI Solutions and Technical Collaboration:Partner with faculty, staff, researchers, and academic and administrative units to identify challenges that may benefit from AI-powered solutions.Gather requirements, evaluate technical feasibility, and recommend implementation approaches that align with stakeholder needs and available resources.Translate conceptual ideas and early-stage use cases into working prototypes, proof-of-concept applications, and production-ready solutions.Collaborate with stakeholders throughout the development process to incorporate feedback and ensure applications meet functional expectations.Provide technical guidance on AI application design, model integration, and software development approaches.Support AI Studio workshops, demonstrations, and technical sessions that introduce campus communities to AI application development and emerging technologies.Work with student developers and innovators to support experimentation, prototyping, and the development of AI-enabled applications.Help lower barriers to AI adoption by building accessible tools, creating practical examples, and sharing engineering knowledge with campus partners.Coordinate with campus IT teams and other technical stakeholders when solutions require integration with existing institutional systems.AI Solution Delivery and Continuous Improvement:Manage the technical development of assigned projects from initial exploration and planning through implementation, deployment, and ongoing refinement.Break down complex technical challenges into manageable development tasks and establish practical implementation approaches.Evaluate potential technologies, frameworks, and architectures based on project requirements, technical constraints, and long-term maintainability.Assess AI application performance, model outputs, and user feedback to identify opportunities for improvement.Develop and maintain technical documentation, application architecture diagrams, implementation guides, and operational resources.Collaborate with AI Studio engineering teams to establish common development patterns and improve consistency across applications.Monitor application behavior, investigate defects, and implement enhancements that improve reliability and user experience.Explore emerging AI models, development frameworks, and engineering practices to identify opportunities for new solutions.Contribute technical findings and implementation insights that inform the continued development of AI Studio platfo ms, services, and capabilities.Perform Other Related Functions as Assigned:Contribute to cross-functional initiatives related to AI governance, responsible AI practices, application security, and institutional technology strategy.Participate in technical planning sessions, project reviews, and collaboration with Enterprise Technology teams.Support the development and maintenance of internal engineering standards, documentation, and development workflows.Stay informed about advancements in generative AI, software engineering, and emerging AI application architectures.Assist with the creation of educational materials, demonstrations, and technical resources that support AI literacy and adoption across campus