
Intelligent Enterprise Architect
2 days ago
This position involves leading the development of AI-driven systems and architectures for complex enterprise environments.
- We are seeking an expert in AI architecture to design and implement scalable, cloud-native solutions using Microsoft Azure.
- The ideal candidate will have experience with Python, .NET Core, Angular/React, and Azure native applications.
- This role requires strong coding skills, as well as the ability to architect and lead AI-powered projects.
About the Position:
This is a high-impact role that involves designing and implementing AI-driven systems and architectures across complex enterprise environments. You will combine deep coding expertise in Python, .NET Core, Angular, and Azure, with a strong architectural mindset to modernize platforms, drive efficiency, and deliver intelligent automation through AI/ML solutions.
Your Key Responsibilities:
- Design and Develop AI Systems: Design and develop GenAI models for real-world use cases (e.g., predictive analytics, document summarization, intelligent workflows).
- Build Cloud-Native Solutions: Build scalable .NET Core Web APIs, Angular/React frontends, and Azure-native applications (Functions, Logic Apps, Azure SQL).
- Develop AI Accelerators: Develop AI accelerators including agentic workflows, RAG pipelines, and LLM-integrated solutions.
- Iterate on PoCs: Create and iterate on proof-of-concepts (PoCs) aligned with business use cases.
- Evolving the Gen AI Roadmap: Define and evolve the Gen AI roadmap for SDLC integration.
- Architect Event-Driven Systems: Architect event-driven, cloud-native systems using Azure tools and messaging services like Kafka/Event Grid.
- Implement Robust Practices: Implement robust CI/CD, security, and code quality practices (e.g., SonarQube, guiderails, IaC with Bicep/ARM).
You Will Work With:
- Fellow architects to align technical strategy with enterprise goals.
- Business stakeholders to translate workflows into intelligent, automated solutions.
- Collaborative, agile environment focused on innovation and delivery.
Requirements & Qualifications:
- Languages & Frameworks: Python, .NET Core, Angular, React.
- Cloud & AI: Microsoft Azure, Cognitive Services, AI Foundry, Logic Apps.
- LLM Techniques: Prompt engineering, fine-tuning, RAG architecture.
- CI/CD & DevOps: Azure DevOps, GitHub Actions.
- Total experience in enterprise software: 13–16 years.
- Years in AI/ML architecture and cloud-native system design: 5+ years.
- Demonstrated ability to code, architect, and lead AI-powered solutions.
Career Development Opportunities:
- Opportunity to lead GenAI strategy in a tech-forward enterprise.
- Career development and learning opportunities in AI and cloud technologies.
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