Full Stack Architect AI-Enabled Platform Engineering (Hands-on IC)

Full Stack Architect AI-Enabled Platform Engineering (Hands-on IC)

Location: New York OR New Jersey Remote (but travel when required)

Product Development, Sustenance, Modernization & Agentic AI infusion

Travel: 25% during active client engagements

Experience Level: 15+ years

About Persistent Systems

Persistent Systems is a global digital engineering and enterprise modernization partner. We combine agentic AI, proprietary accelerators, and a forward-deployed delivery model to help PE-backed software companies, regulated enterprises, and Global Capability Centers modernize legacy systems and embed AI at the core of how they build and operate software.

About the Role

As a Full Stack Architect, you will be the senior-most hands-on full stack engineer embedded within a modern AI-enabled platform team, responsible for architecting and delivering a unified application that consolidates fragmented workflows into a centralized, scalable system.

In this role, you will lead the design and development of both frontend and backend layers building the application shell, user interface, and supporting services that power complex workflows, collaboration experiences, and structured evaluation processes. You will also drive integration with enterprise systems, data pipelines, and analytics platforms, enabling seamless interaction across structured and unstructured data sources.

You will leverage Claude AI extensively as an engineering productivity accelerator driving faster delivery, improving development efficiency, and enabling high-quality code, system design, and documentation. Claude will be a core part of your daily engineering workflow (coding, debugging, UI development, backend services, integrations, and documentation acceleration), but not a runtime dependency of the application architecture.

This is a pure individual contributor architect role with ownership across the full technology stack from user experience to backend services and integrations. Approximately 70 75% of your time will be hands-on coding, system design, and full stack engineering, with the remainder focused on collaboration with product and stakeholder teams to ensure successful delivery of a high-quality, enterprise-grade platform.

Key Responsibilities

• Architect and build the end-to-end full stack platform that unifies fragmented workflows into a centralized, scalable, and AI-enabled application experience.
• Design and implement frontend and backend components, including application shell, UI layers, APIs, and supporting services, ensuring performance, scalability, and production readiness.
• Develop and integrate workflow-driven modules such as collaboration interfaces, structured evaluation forms, and exportable artifacts for downstream usage and reuse.
• Build and manage integrations with enterprise systems, data pipelines, analytics platforms, and external data artifacts, enabling seamless interaction across structured and unstructured data sources.
• Design and implement systems that support AI-assisted workflows, enabling enriched user interactions, intelligent recommendations, and data-driven decision-making capabilities.
• Leverage Claude AI extensively as an engineering productivity accelerator driving faster GTM through rapid prototyping, full stack development, debugging, and system design acceleration.
• Establish and scale Claude-driven development practices to enhance developer productivity, reduce delivery cycles, and improve code quality across the engineering lifecycle.
• Own full stack technical design and architecture, translating product and workflow requirements into robust, scalable, and maintainable implementations.
• Operate as a highly hands-on individual contributor, actively participating in coding, design reviews, and day-to-day engineering execution within an embedded team model.
• Ensure high engineering standards across the stack, including code quality, modular architecture, testing rigor, usability, and long-term maintainability.
• Drive execution discipline and delivery outcomes, ensuring the platform is production-grade, scalable, and aligned with rapid iteration needs enabled by AI-assisted development.

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, Java, or .NET (C#) 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 prototyping
• Debugging and optimization
• System design exploration
• Documentation and knowledge capture
• Demonstrated 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 maintainability
• Excellent problem-solving and system design skills, with the ability to operate independently in high-ownership IC roles
• Strong 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 / Google Cloud Platform 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 platforms, or financial services.
• Exposure to AI-enabled application platforms and workflow-driven systems, including intelligent user interactions, recommendations, or data-assisted decision-making features.
• Experience with modern frontend and backend ecosystems (React/Angular with Python/Java/.NET services) and operating in high-velocity, embedded delivery environments collaborating closely with product teams.