.Net Solutions Architect with AI

Role: .Net Solutions Architect (.NET, React/Next.js, Azure & AI) Location: Hybrid
Employment Type: Contract Location: Campbell, CA

Position Overview
We are seeking a highly skilled and hands-on Solutions Architect to design, build, and operate secure, scalable, and AI-enabled products and integrations across Vialto's global technology platform. This role requires a strong engineering leader who can deliver end-to-end solutions across modern web applications, cloud-native services, and AI-powered workflows while contributing to architectural strategy and technical excellence.
The ideal candidate will possess deep expertise in React/Next.js, C#/.NET, Microsoft Azure, distributed systems, security, and modern software architecture principles. This individual will leverage agentic development practices, including AI-assisted development tools such as Claude Code, Codex, and similar coding agents, to accelerate delivery while maintaining enterprise-grade quality, security, and compliance standards.
Key Responsibilities Application Development

• Design, develop, and maintain modern web applications using Next.js, React, TypeScript, HTML, and CSS.
• Build scalable backend services and APIs using C#, Core, Web API, and .NET technologies.
• Deliver secure and performant enterprise applications supporting payroll, tax, immigration, and other business-critical workflows.
• Design and implement reusable UI components, shared libraries, and design systems.

Cloud & Platform Engineering

• Build and operate cloud-native solutions utilizing Microsoft Azure PaaS services.
• Implement secure deployment architectures, networking, identity management, and operational tooling.
• Develop and maintain highly available, fault-tolerant, and scalable cloud services.
• Establish observability using:
• Azure Application Insights
• OpenTelemetry
• Distributed tracing
• Structured logging
• Monitoring and alerting frameworks

Architecture & Integration

• Contribute to enterprise architecture decisions and technical roadmaps.
• Design REST-based and event-driven integration architectures.
• Build scalable microservices and micro-frontend architectures.
• Architect and implement:
• Next.js App Router
• Next.js Zones
• Webpack Module Federation
• Nx/Turborepo Monorepo environments
• Define integration patterns supporting enterprise-scale workloads and cross-platform interoperability.

AI & Agentic Development

• Design and build AI-native applications and workflows.
• Implement AI-powered capabilities including:
• Prompt Engineering
• LLM API Integration
• Retrieval-Augmented Generation (RAG)
• AI-assisted business workflows
• Leverage AI coding agents such as:
• Claude Code
• Codex
• GitHub Copilot
• Similar AI development tools
• Utilize spec-driven development methodologies to guide both human and AI-assisted implementation.
• Evaluate and operationalize AI models, APIs, orchestration frameworks, and toolchains.

Security & Compliance

• Implement secure software development practices suitable for regulated environments.
• Design solutions incorporating:
• OAuth 2.0
• RBAC (Role-Based Access Control)
• Data Encryption at Rest and In Transit
• Privacy Controls
• Auditability Requirements
• Ensure compliance with enterprise security and governance standards.

Leadership & Collaboration

• Mentor engineering teams through code reviews, pair programming, and technical coaching.
• Collaborate closely with Product, Business, Implementation, and Client-facing teams.
• Drive engineering best practices across development, testing, deployment, and operations.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related discipline.
• 5+ years of professional software engineering experience building enterprise-grade applications.
• Strong hands-on expertise in:
• React.js
• Next.js
• TypeScript
• JavaScript
• Strong backend development experience with:
• C#
• Core
• .NET
• Web API
• MVC Frameworks
• Extensive experience designing and implementing Microsoft Azure cloud solutions.
• Proven expertise with:
• System Design
• Design Patterns
• Security Architecture
• Scalable Distributed Systems
• Performance Optimization
• Experience working in highly regulated and compliance-driven environments.
• Strong understanding of secure SDLC practices and software architecture principles.
• Experience using AI-assisted development methodologies and agentic development workflows.
• Demonstrated experience integrating AI capabilities into production applications.