What are the responsibilities and job description for the .Net Solutions Architect with AI position at Marici Solutions?
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.