AI Architect

TechYard; Denver (CO); Remote; USD 150,000 - 230,000; Full time

Job summary

TechYard is seeking an AI Architect to design and optimize AI-driven applications on Azure. You will lead full-stack development, leveraging Python, React, EF Core, LangChain, and FastAPI to deliver scalable, secure solutions.

The ideal candidate combines strong engineering excellence with a data science mindset, thrives on complex challenges, and embraces cutting-edge AI to drive real-world impact in a fully remote US role.

Qualifications

• Strong software engineering practices and proven C#, Python, and React (TypeScript) experience.
• Hands-on Azure cloud experience with AKS, Networking, and AI Studio/Foundry.
• Experience with LangChain, Semantic Kernel, RAG, and workflow orchestration.
• Solid knowledge of containerization, CI/CD, and API design.
• Ability to design secure, scalable, and maintainable systems.

Responsibilities

• Architect and build AI applications leveraging Azure services.
• Develop full-stack systems using Python, React, EF Core, LangChain, and FastAPI.
• Ensure scalable, secure, and high-performance solutions.
• Collaborate with data scientists and engineers to turn ideas into production.
• Lead cloud-native deployment in Azure with cost awareness.
• Stay at the forefront of AI techniques and software engineering.

Skills

Software engineering

C#

Python

React (TypeScript)

CI/CD

API design

Tools

Azure

AKS

LangChain

Semantic Kernel

Entity Framework Core

Material UI

FastAPI

Job description

This role is fully remote in the USA so all locations are considered.

About the Role

We are looking for an exceptional AI 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 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.