The AI Application Senior Full-Stack Developer designs, builds, tests, and deploys user-facing applications and interfaces that bring Forge AI capabilities into production workflows. This role sits at the intersection of modern full-stack engineering and enterprise AI enablement, creating the applications, dashboards, workflow interfaces, and human-agent interaction layers that teammates actually use every day. This is a hands-on senior engineering role focused on building business applications that integrate AI services, agent outputs, workflow automation, enterprise APIs, and governed data sources. The developer is expected to work across front-end experiences, back-end services, API contracts, orchestration layers, and secure deployment pipelines while maintaining strong usability, accessibility, observability, and production quality standards. Daily work includes building React/Next.js-style front ends, API services, workflow interfaces, administrative consoles, AI-assisted user experiences, and application integrations with enterprise systems. The role supports the Forge model of startup-speed execution within enterprise controls, using approved engineering accelerators while remaining accountable for architecture, code quality, testing, security, and release readiness. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 3 Design and build user-facing business applications, workflow interfaces, dashboards, administrative tools, and AI-integrated experiences that operationalize Forge capabilities for enterprise users. 3 Develop full-stack features across front-end, back-end, and API layers, including interfaces that present AI outputs, workflow states, confidence indicators, review steps, and human-in-the-loop decisions. 3 Implement application patterns that integrate AI services, prompts, agents, workflow automation, and enterprise data securely and reliably into business applications. 3 Build and maintain reusable UI components, application modules, and service patterns that align with the Forge design system, accessibility expectations, and enterprise engineering standards. 3 Create and support back-end services, APIs, and orchestration endpoints that power application workflows, AI-enabled features, and integrations with enterprise systems or tools. 3 Use approved engineering acceleration tools to speed development, testing, refactoring, and documentation while preserving code quality, traceability, and maintainability. 3 Write and maintain automated tests across UI, API, and integration layers, ensuring application stability and reliable release quality as AI-enabled features evolve. 3 Optimize application performance, reliability, and usability across the full stack, including front-end responsiveness, API efficiency, error handling, and observability instrumentation. 3 Partner with design, product, AI engineering, security, QA, and platform teams to ensure applications are useful, secure, governed, and production-ready. 3 Participate in sprint planning, code reviews, release preparation, and production support workflows, contributing as a senior technical builder and delivery partner. 3 Document architecture, implementation decisions, integration patterns, operational runbooks, and reusable development guidance for broader Forge adoption. 3 Contribute reusable patterns and senior-level engineering judgment to improve the speed, quality, and consistency of application delivery across the Forge portfolio. Additional Needs: 3 5+ years of full-stack software engineering experience building and supporting production web applications or enterprise application platforms. 3 Strong front-end engineering skills with modern JavaScript/TypeScript and component-based UI development patterns. 3 Strong back-end engineering skills building APIs, services, and application logic in modern enterprise engineering stacks. 3 Experience integrating applications with APIs, workflow engines, enterprise systems, authentication layers, and data services. 3 Experience building applications that surface AI outputs, workflow states, or automation results in a way users can act on safely and efficiently. 3 Experience with automated testing, CI/CD, code review practices, and release-quality controls in modern engineering teams. 3 Ability to work across architecture, usability, performance, reliability, and maintainability concerns rather than only a single stack layer. 3 Strong communication skills and the ability to work effectively in cross-functional enterprise delivery teams operating at high speed within governance controls. Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 3 Bachelors degree in Computer Science, Engineering, Information Systems, or related field. 3 Minimum of 7 years of professional experience in infrastructure engineering. 3 Advanced knowledge of enterprise infrastructure technologies including cloud, network, database, storage, platform, computing, and middleware. PREFERRED QUALIFICATIONS 3 Experience building AI-enabled applications, copilots, workflow tools, or interfaces that incorporate prompts, agent outputs, or intelligent automation. 3 Experience with Microsoft, Azure, Copilot / Copilot Studio, Power Platform, or enterprise AI productivity and workflow platforms. 3 Experience with React, Next.js, Node.js, Python-based APIs, or comparable modern full-stack application development stacks. 3 Experience with design systems, accessibility implementation, and high-quality business application UI delivery. 3 Experience in financial services, cybersecurity, or other regulated enterprise environments with strong audit, control, and release expectations. 3 Experience instrumenting applications for observability, telemetry, production support, and operational insight. 3 Experience mentoring peers, reviewing design or code quality, and operating as a senior-level implementation leader within engineering delivery teams.