AI Application Architect

About the Role 

We are looking for an exceptional AI Application Architect to design, build, and optimize AI-driven applications on the Azure platform. This role emphasizes strong engineering expertise, creative problem-solving, and the ability to work with cutting-edge technologies to deliver high-impact solutions. 

The ideal candidate thrives on solving complex challenges, is passionate about engineering excellence, and has a knack for integrating AI into scalable, real-world applications. A background in data science or formal engineering is a strong advantage, given the scientific nature of the work. 

Key Responsibilities 

• Architect & Build: Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage, Document Intelligence, AI Studio/Foundry, VNETs). 

• Full-Stack Development: Develop systems using C#, Python, React, and modern frameworks like Entity Framework Core, LangChain, Semantic Kernel, and FastAPI. 

• Scalable & Secure Solutions: Create applications that are resilient, secure, and optimized for high performance. 

• Collaboration: Work closely with cross-functional teams, including data scientists and engineers, to turn abstract ideas into functional solutions. 

• Cloud-Native Focus: Lead the deployment and optimization of applications in Azure environments with strong consideration for cost efficiency and maintainability. 

• Innovate & Optimize: Explore new tools, frameworks, and methodologies to stay at the forefront of AI and software engineering. 

What We’re Looking For 

Required Skills: 

• Proven expertise in software engineering with experience in C#, Python, and React (TypeScript). 

• Hands-on experience with cloud platforms, particularly Azure, including services like AKS, Networking, and AI Studio/Foundry. 

• Familiarity with AI frameworks like LangChain, Semantic Kernel, and other AI libraries or tools, as well as techniques such as RAG, Agentic patterns, and workflow orchestration. 

• Strong grasp of modern development practices, such as containerization, CI/CD, and API design. 

• Demonstrated ability to design and build secure, scalable, and maintainable systems. 

Preferred Skills: 

• Background in data science or formal training in engineering disciplines. 

• Experience with frameworks like Entity Framework Core, Material UI, and FastAPI. 

• Understanding of AI modeling workflows and integration of document intelligence or related tools. 

Core Qualities: 

• Problem-Solving Excellence: A creative and analytical approach to tackling technical challenges. 

• Ownership & Accountability: Ability to take full responsibility for the design, implementation, and success of projects. 

• Adaptability: Comfortable learning and implementing new technologies in a fast-evolving field. 

• Team Collaboration: Strong communication skills and a mindset that thrives in a team-driven environment.