Solution Architect – AI & Enterprise Platforms (.NET Core / Azure / PostgreSQL)

Role Overview

We are seeking an experienced and hands-on Solution Architect to lead the design and delivery of scalable, secure, AI-led enterprise applications built on the Microsoft technology stack. The ideal candidate should possess deep expertise in architecting distributed systems using Microsoft .NET Core, PostgreSQL, and Azure cloud services, with strong exposure to high-volume transactional systems, data migration programs, and enterprise integration patterns.

The role demands strong architectural governance capabilities across performance, scalability, security, deployment automation, and coding standards, while collaborating with business stakeholders, engineering teams, DevOps, and product leadership.

Experience working on Dealership Management Systems (DMS) or automotive retail enterprise platforms will be considered an added advantage.

Key Responsibilities

• Architect enterprise-grade AI-enabled applications and digital platforms using Microsoft technologies and Azure cloud ecosystem.
• Define scalable microservices and API-first architectures using .NET Core and Azure-native services.
• Design secure and resilient cloud-native solutions utilizing:
• Azure API Management
• Azure Key Vault
• Azure Service Bus
• Azure Functions
• Azure App Services
• Azure Storage Services
• Azure Monitor / Application Insights
• Azure Active Directory
• Azure Kubernetes Service (preferred)
• Lead architecture decisions for high-volume transactional systems and large-scale data processing platforms.
• Design and govern enterprise data migration strategies involving large datasets, legacy system modernization, synchronization, archival, and transactional integrity.
• Establish architecture standards, coding standards, security frameworks, deployment procedures, and engineering governance models.
• Integrate AI-led capabilities such as:
• Intelligent workflows
• Document intelligence
• Agentic AI workflows
• Drive non-functional architecture requirements including:
• Scalability
• High availability
• Disaster recovery
• Performance optimization
• Observability
• Security hardening
• Cost optimization
• Conduct architecture reviews, code reviews, design validations, and technical risk assessments.
• Guide engineering teams on best practices around CI/CD, DevSecOps, infrastructure automation, and release management.
• Work closely with stakeholders to translate business requirements into scalable technical architectures.
• Prepare architecture artifacts including:
• Solution architecture documents
• Sequence diagrams
• Integration diagrams
• Deployment architectures
• Technical decision records
• Security and compliance documentation

Required Skills & Experience

Technical Expertise

Backend & Application Architecture

• Strong expertise in:
• C#
• ASP.NET Core / .NET Core
• RESTful API architecture
• Microservices architecture
• Event-driven systems
• Distributed systems design
• Strong understanding of enterprise integration patterns.

Database & Data Engineering

• Deep experience with PostgreSQL.
• Expertise in:
• Query optimization
• Data partitioning
• Transaction management
• Performance tuning
• Replication strategies
• High-volume data handling
• Experience handling large-scale data migration and ETL/integration programs.

Azure Cloud

Hands-on architecture experience with:

• Azure API Management
• Azure Key Vault
• Azure Service Bus
• Azure Functions
• Azure App Services
• Azure Storage Accounts
• Azure DevOps
• Azure Monitor / Application Insights
• Azure Identity & Access Management
• Containerization and orchestration services preferred.

AI-led Enterprise Solutions

• Experience integrating AI capabilities into enterprise applications.
• Understanding of:
• LLM integrations
• AI orchestration patterns
• Retrieval-based architectures
• AI governance and security
• Agentic workflows
• Exposure to Azure AI ecosystem is preferred.

Security & Governance

• Strong understanding of:
• OAuth2 / OpenID Connect
• JWT authentication
• API security
• Encryption and secrets management
• Secure coding standards
• OWASP practices
• Enterprise compliance and audit readiness

DevOps & Deployment

• Experience with:
• CI/CD pipelines
• Infrastructure-as-Code concepts
• Automated deployment strategies
• Blue-green / rolling deployments
• Release governance
• Production support frameworks

Preferred Qualifications

• Experience with Dealership Management Solutions (DMS), automotive retail platforms, or enterprise ERP ecosystems.
• Exposure to multi-tenant SaaS architecture.
• Experience with event streaming and messaging architectures.
• Azure certifications preferred.
• TOGAF or enterprise architecture certifications are advantageous.

Soft Skills

• Strong stakeholder communication and presentation skills.
• Ability to lead cross-functional engineering discussions.
• Strong analytical and problem-solving mindset.
• Ability to mentor engineering teams and enforce engineering excellence.
• Experience working in agile enterprise delivery environments.

Educational Qualification

• Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Good to Have

• Experience with Microsoft SQL Server (MSSQL) including:
• Stored Procedures (SPs)
• User Defined Functions (UDFs)
• Query optimization
• SQL performance tuning
• Database design and indexing strategies
• Experience with AI-assisted development workflows.
• Exposure to observability and SRE practices.
• Knowledge of automotive dealership operations and workflows.
• Experience in enterprise modernization and legacy transformation programs.