ai solution architect

Job Description This is a remote position. ​ Position Summary NOVO is seeking an AI Solution Architect to serve as a dual-purpose technical leader—driving customer success through both pre-sales and post-sales engagements while driving internal innovations. This role sits at the intersection of customer engagement, technical architecture, and hands-on solution development, with Microsoft AI technologies as the primary platform. A core expectation of this role is to design and deliver secure AI solutions, delivering measurable ROI while meeting enterprise security, privacy, and compliance requirements. You'll design enterprise-grade AI solutions, lead proof-of-concept initiatives, and build custom applications leveraging Microsoft Copilot, Azure AI Foundry, and Azure OpenAI Service. As an individual contributor at the senior level, you'll translate complex business requirements into scalable technical architectures that are secure-by-design, including threat modeling, least-privilege access, secure data handling, model/agent guardrails, and production monitoring. You'll accelerate delivery using cutting-edge auto-coding tools like GitHub Copilot, Claude Code, or equivalent while maintaining strong engineering hygiene including reviews, testing, and secure coding practices. This position offers the rare opportunity to balance customer-facing technical leadership with internal “customer zero” innovation work, contributing directly to NOVO's competitive advantage in the rapidly evolving AI solutions market. Pre-Sales Technical Architecture Solution Design & Customer Discovery: Lead customer discovery and translate business, technical, and regulatory requirements into secure, end-to-end Microsoft AI solution architectures. Proof-of-Concept Development & Demonstrations: Build and present secure, working POCs and demos that validate architecture, guardrails, and real-world feasibility for executive and technical audiences. Technical Proposal Support: Partner with sales to produce technical proposals, architectures, roadmaps, and compliant RFP/RFI responses emphasizing secure and responsible AI. Secure AI & Governance: Design and validate secure-by-design, responsible AI architectures with threat modeling, governance alignment, and production-ready safeguards. Post-Sales Implementation & Technical Leadership Solution Implementation & Configuration: Implement and configure scalable, secure full-stack AI solutions integrated with Microsoft and enterprise systems using least-privilege patterns. Technical Leadership: Lead implementation work-streams, conduct architecture and security reviews, mitigate risk, and support monitored, optimized production deployments. Knowledge Transfer & Customer Enablement: Deliver documentation, training, and ongoing technical advisory support to ensure successful customer adoption and long-term value. Internal NOVO AI Innovation Framework Execution Internal AI Solution Development: Architect and build secure internal AI accelerators and Agentic solutions aligned to NOVO’s framework, leveraging modern auto-coding and orchestration tools. Innovation & Continuous Improvement: Continuously evaluate emerging Microsoft AI capabilities and industry best practices to evolve NOVO’s AI offerings and innovation framework. Requirements Citizenship & Location Candidates must be US Natural-born citizens currently residing within the US. NOVO will perform a detailed background check (including FBI) prior to employment. DO NOT APPLY FOR THIS POSITION IF YOU DO NOT MEET THIS REQUIREMENT. Education & Professional Experience • 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. Required Certifications • Microsoft Certified: Azure AI Engineer Associate (AI-102) – Current certification, or ability to obtain within 90 days of employment. • Ability to pursue additional Microsoft certifications as technologies evolve. Core Technical Skills Microsoft AI Platform Expertise • Azure AI Foundry: Hands-on experience with model catalog, prompt flow and agent orchestration, evaluation tools, and managed deployment. • Microsoft Copilot Studio: Experience building custom copilot agents, configuring knowledge sources (SharePoint, OneDrive, websites), integrating Power Automate flows, and deploying across multiple channels • Azure AI Services: Working knowledge of Azure AI Search (vector search, semantic ranking, RAG/GraphRAG patterns), Computer Vision, Speech Services, Document Intelligence, and Content Safety Development & Auto-Coding Proficiency • Proficiency with AI-assisted development tools: GitHub Copilot, Claude Code, OpenAI Codex, or equivalent AI coding assistants with d