Job Title:
.NET Solution Architect (Cloud, AI & Enterprise Applications)Overview / Summary We are seeking an experienced .NET Solution Architect to lead the architecture, design, and implementation of enterprise-scale application development projects. This role works closely with business stakeholders, development teams, infrastructure teams, and client leadership to define scalable, secure, and high-performing application architectures. The position requires expertise in the Microsoft technology stack, cloud-native architectures, AI-enabled engineering practices, integration patterns, DevOps practices, and solution governance.
Key Responsibilities - Define end-to-end solution architecture for enterprise application development initiatives.
- Lead architecture discussions with client stakeholders and business teams.
- Design scalable, secure, and high-availability applications using .NET technologies.
- Drive AI-enabled application modernization and intelligent automation initiatives.
- Architect AI-assisted developer productivity and operational solutions.
- Integrate AI/ML services into enterprise applications and business workflows.
- Provide technical leadership to development teams during implementation.
- Create architecture blueprints, solution design documents, and technical roadmaps.
- Ensure adherence to enterprise architecture standards, security guidelines, and best practices.
- Drive modernization initiatives, including monolith-to-microservices transformation.
- Design API-first and event-driven architectures.
- Collaborate with DevOps teams for CI/CD implementation and deployment automation.
- Perform architecture reviews, code reviews, and technical governance activities.
- Support estimation, technical proposal preparation, and solution planning.
- Work closely with QA, infrastructure, security, and operations teams.
- Identify technical risks and provide mitigation strategies.
- Mentor developers and technical leads.
Required Qualifications Experience - 12+ years of application development experience.
- 5+ years in a Solution Architecture role.
- Experience handling enterprise-scale application development projects.
- Strong experience in client-facing onsite coordination.
- Experience working in an Agile/Scrum delivery model.
- Experience in application modernization and cloud migration initiatives.
- Strong understanding of performance optimization and scalability.
Core Technologies - Strong experience with:
- C#
- ASP.NET Core
- .NET Framework / .NET 6/7/8
- Web API
- Entity Framework
- LINQ
Architecture & Design - Microservices Architecture
- Event-Driven Architecture
- Domain-Driven Design (DDD)
- RESTful APIs
- SOA Architecture
- Design Patterns
- Multi-tier Application Architecture
Frontend Technologies - Angular or React (preferred)
- JavaScript / TypeScript
- HTML5, CSS3
Cloud & DevOps - Azure or AWS cloud platforms
- Docker and Kubernetes
- CI/CD pipelines
- Azure DevOps, GitHub Actions, or Jenkins
- Infrastructure as Code understanding
Database Technologies - SQL Server
- PostgreSQL or MySQL
- NoSQL databases (preferred)
Integration & Messaging - Kafka, RabbitMQ, or Azure Service Bus
- API Gateway
- Third-party system integrations
Security - OAuth2
- JWT
- SSO
- Secure coding practices
AI & Modern Engineering Skills - Experience integrating AI/ML capabilities into enterprise applications.
- Knowledge of Generative AI and Large Language Model (LLM) concepts.
- Experience with:
- OpenAI APIs
- Microsoft Azure AI Services
- AI copilots and intelligent assistants
- Understanding of:
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI orchestration frameworks
- Vector databases
- AI agents and autonomous workflows
- Experience implementing AI-enabled SDLC and developer productivity accelerators.
- Exposure to AIOps and intelligent monitoring frameworks.
- Familiarity with AI-assisted code generation and modernization tools.
- Understanding of Responsible AI and AI security principles.
Preferred Skills - TOGAF or cloud certifications preferred.
- Experience with AI-assisted development tools.
- Experience with observability and monitoring tools such as:
- Knowledge of AIOps and automated operational frameworks.
- Experience in ZeroOps/self-healing platform implementations.
Education - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Nice to Have - Experience in enterprise digital transformation programs.
- Exposure to GenAI-assisted SDLC workflows.
- Experience in platform engineering and reusable accelerator frameworks.
- Knowledge of enterprise integration ecosystems.
- Experience with AI-driven monitoring, observability, and self-healing platforms.
Soft Skills - Excellent communication and stakeholder management skills.
- Strong problem-solving and analytical abilities.
- Ability to lead distributed teams.
- Strong presentation and architecture documentation skills.
- Ability to work directly with client leadership teams.
#LI-Hybrid #LI-PS4 #Hiring
