Senior UI Full Stack Architect with Python and AI Experience(Remote)Remote (but travel when required) New York OR New Jersey

Position – Senior UI Full Stack Architect with Python and AI Experience(Remote) Experience: 14+ years of software engineering experience, including 2+ years at Architect / Principal IC level # of positions: 2 Location: New York OR New Jersey – Remote (but travel when required) UI Full Stack Architect – AI-Enabled Platform Engineering (Hands-on IC) Product Development, Sustenance, Modernization & Agentic AI infusion Travel: 25% during active client engagements Experience Level: 14+ years Required Qualifications 15+ years of software engineering experience, including 5+ years at Principal Architect / Senior IC level building large-scale full stack platforms in enterprise environments.Proven experience designing and delivering end-to-end full stack systems that combine rich user interfaces, scalable backend services, and data-driven workflows.Demonstrated ownership of architecture and delivery for multiple large-scale platform programs with measurable impact on scalability, performance, usability, and time-to-market.Active hands-on engineer, currently building production-grade applications across frontend and backend, reviewing PRs, and driving engineering standards.Strong experience working in embedded/forward-deployed engineering models, collaborating directly with product and stakeholders to translate evolving requirements into scalable systems.Extensive usage of Claude AI or equivalent AI coding assistants as a core development accelerator—demonstrated impact on engineering velocity, code quality, and GTM timelines. Full Stack Engineering (Required — Primary Focus Area) Strong expertise in frontend development using modern frameworks (React, Angular, or equivalent) for building scalable, responsive, and intuitive user interfaces.Deep expertise in backend development using Python and FastApi for building high-performance, enterprise-grade systems.Hands-on experience building API-driven and service-oriented architectures (REST, GraphQL, event-driven patterns) across the stack.Proven ability to design and build scalable backend services and microservices architectures with strong modular and domain-driven design principles.Strong knowledge of data modeling, persistence layers, and database design (SQL/NoSQL) for high-volume, high-performance systems.Experience implementing event-driven and asynchronous systems using messaging, queues, and distributed processing patterns.Strong understanding of performance optimization, caching, scalability, and resiliency patterns across frontend and backend layers.Experience building secure applications with authentication, authorization, and governance controls for enterprise environments.Proven ability to design and deliver end-to-end application workflows spanning UI, APIs, business logic, and data layers. Cloud & Platform Engineering (Required — Primary Focus Area) Hands-on experience with cloud-native application development, including frontend hosting, backend services, and API management.Experience integrating with enterprise systems, data pipelines, and analytics platforms.Familiarity with designing systems that support AI-assisted workflows and intelligent application experiences.Strong understanding of CI/CD pipelines, observability, deployment models, and performance monitoring in distributed systems. Claude AI–Driven Engineering (Required — Differentiator) Extensive hands-on usage of Claude AI for software development, including:Code generation and rapid prototypingDebugging and optimizationSystem design explorationDocumentation and knowledge captureDemonstrated ability to accelerate GTM timelines using Claude AI, reducing development cycle times while maintaining high quality.Experience establishing Claude-driven development workflows and best practices within engineering teams.Ability to balance AI-assisted development with strong engineering judgment, ensuring maintainable, production-grade code. Engineering Excellence & Delivery (Required) Strong grounding in engineering best practices: code quality, modular architecture, testing discipline, and maintainabilityExcellent problem-solving and system design skills, with the ability to operate independently in high-ownership IC rolesStrong communication skills, including working with product managers and stakeholders to shape technical solutions Preferred Qualifications • Certifications relevant to full stack and cloud engineering such as Azure Solutions Architect Expert, Azure Developer Associate, AWS / GCP equivalents, along with strong proficiency in Python, Java, or .NET (C#) ecosystems. • Demonstrated use of Claude AI (or equivalent AI coding assistants) to accelerate full stack development, driving measurable improvements in engineering productivity and development cycle times. • Experience building enterprise-grade full stack platforms with complex workflows, integrations, and distributed system architectures, ideally in domains such as enterprise SaaS, digital pl