Lead customer discovery and translate business, technical, and regulatory requirements into secure, end-to-end Microsoft AI solution architectures.
Build and present secure, working POCs and demos that validate architecture, guardrails, and real-world feasibility for executive and technical audiences.
Design and validate secure-by-design, responsible AI architectures with threat modeling, governance alignment, and production-ready safeguards.
Implement and configure scalable, secure full-stack AI solutions integrated with Microsoft and enterprise systems using least-privilege patterns.
Deliver documentation, training, and ongoing technical advisory support to ensure successful customer adoption and long-term value.
Architect and build secure internal AI accelerators and Agentic solutions aligned to NOVO’s framework, leveraging modern auto-coding and orchestration tools.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field.
5-8 years of professional experience in solution architecture, with recent experience in AI/ML implementation, cloud solutions, or enterprise software development.
3+ years working directly with cloud platforms (Azure strongly preferred) and AI/ML technologies in production environments.
Microsoft Certified: Azure AI Engineer Associate (AI-102) – Current certification, or ability to obtain within 90 days of employment.
Proficiency with AI-assisted development tools: GitHub Copilot, Claude Code, OpenAI Codex, or equivalent AI coding assistants with demonstrated productivity gains
Programming languages: Proficiency in Python, JavaScript, or C#; experience with AI/ML frameworks (i.e. Microsoft Agent Framework, Semantic Kernel, AutoGen, LangChain, Prompt Flow)
Tech Stack
Azure
Cloud
JavaScript
Python
Benefits
Comprehensive medical, dental, and vision insurance with employer contribution
401(k) retirement plan with company matching up to 4% contribution
Paid time off for personal, sick and company-determined holidays
Access to Microsoft learning platforms, AI/ML training resources, and internal mentorship programs