Technical Architect .NET & AI

Job Title: Technical Architect .NET & AI

Job Summary

Technical Architect with a strong .NET background and hands-on experience in AI implementations

Key Responsibilities

Architecture & Design

• Define

  end-to-end solution architecture

  using the Microsoft .NET ecosystem with AI-enabled components.
• Design

  scalable, secure, and high-availability systems

  aligned with business objectives.
• Create architecture artifacts including

  HLD, LLD, sequence diagrams, and deployment diagrams

  .
• Evaluate and recommend

  technology stacks, AI platforms, and frameworks

  .

Technical Leadership

• Provide

  hands-on architectural guidance

  to development teams.
• Review code and AI integrations to ensure

  best practices, performance, and security

  .
• Mentor senior developers and technical leads.
• Act as the

  technical escalation point

  for complex engineering and AI-related challenges.

Application Development & Integration

• Strong expertise in

  C#, ASP.NET Core, Web API, MVC, and .NET 6+

  .
• Architect and implement

  microservices and event-driven architectures

  .
• Design and integrate

  RESTful APIs, gRPC, and messaging systems

  (RabbitMQ, Azure Service Bus, Kafka).
• Integrate AI services into applications using APIs and SDKs.

AI & Intelligent Systems

• Lead and support

  AI/ML solution design and implementation

  within enterprise applications.
• Experience integrating

  AI services

  such as:
• Azure OpenAI / OpenAI APIs
• Azure Cognitive Services (Vision, Speech, Language)
• ML models via REST APIs or MLOps pipelines
• Apply AI use cases such as

  chatbots, document processing, recommendation systems, automation, and analytics

  .
• Ensure

  ethical AI, data privacy, and compliance

  considerations are followed.

Cloud & DevOps

• Architect and deploy solutions on

  Azure / AWS

  (Azure preferred).
• Hands-on with

  Azure App Services, Functions, AKS, SQL, Storage, Key Vault

  .
• Support

  CI/CD pipelines

  using Azure DevOps, GitHub Actions, or similar tools.
• Enable monitoring, logging, and observability for both application and AI workloads.

Data & Performance

• Design and optimize data models using

  SQL Server, NoSQL databases

  .
• Ensure

  performance, scalability, reliability, and cost optimization

  .
• Work with data pipelines and feature stores where required for AI solutions.

Governance & Collaboration

• Collaborate with

  business stakeholders, product owners, and data teams

  .
• Participate in

  architecture review boards

  and technology decision-making.
• Define and enforce

  architecture, security, and AI governance standards

  .

Required Skills & Qualifications

• Bachelor’s or Master’s degree in

  Computer Science, Engineering, or related field

  .
• 10+ years of experience in

  .NET application development

  , with 3–5 years in an Architect role.
• Strong expertise in

  C#, ASP.NET Core, Microservices, and Cloud-native design

  .
• Proven experience in

  AI/ML integrations and implementations

  in production environments.
• Solid understanding of

  design patterns, SOLID principles, and clean architecture

  .
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with

  MLOps

  , model lifecycle management, and monitoring.
• Exposure to

  Python-based ML frameworks

  (TensorFlow, PyTorch, scikit-learn).
• Knowledge of

  security standards

  (OAuth2, OpenID Connect, JWT).
• Familiarity with

  frontend frameworks

  (Angular, React) for solution alignment.
• Experience in

  enterprise-scale or high-availability systems

  .

What We Offer

• Opportunity to architect

  AI-enabled enterprise solutions

  .
• High-ownership leadership role with strategic impact.
• Competitive compensation and benefits.
• Continuous learning in

  cloud and AI technologies

  .