AI Architect

This role is responsible for setting how AI systems are designed, built, governed and scaled - ensuring solutions are secure, reliable, cost-efficient and deeply embedded into business workflows. What we’re looking for: * Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, AI/ML or a related field * Azure certifications (Solutions Architect, Azure AI Engineer) preferred * 7-12+ years of experience in AI/ML engineering, cloud architecture or enterprise software engineering * Proven experience architecting and delivering production AI or ML solutions on Azure * Experience with REST APIs, serverless functions, microservices and event-driven architectures * Backend development in Python with working knowledge of C# or Node.js. What you’ll be doing: * AI Strategy & Enterprise Architecture * Evaluate and recommend AI models, APIs and platforms (e.g., Anthropic, OpenAI, Microsoft, Google) based on security, reliability, cost and enterprise fit * Define the enterprise AI architecture across Azure OpenAI, Azure AI Search, Microsoft Fabric, Azure ML, APIs, event-driven systems and operator-facing tools * Establish standards for building LLM applications, retrieval-augmented generation (RAG) systems, intelligent agents and ML models at scale * Create reference architectures for AI-powered solutions including real-time workflows, automation, copilots and knowledge assistants * Application Architecture & Integration * Design how AI services integrate with core applications, including broker tools, APIs, workflows and backend services * Establish patterns for serverless functions, microservices, REST APIs, event-driven pipelines and end-to-end orchestration * Partner with application development teams to embed AI into product features with the right performance, security, authentication and data flow patterns * Ensure AI solutions meet enterprise CI/CD, observability, reliability and SLA standards * Solution Design & Technical Leadership * Lead solution designs for AI platforms including vector databases, embedding pipelines, inference services, feature stores and model registries * Translate complex operator workflows into scalable, AI-enabled architectures that improve decision-making and productivity * Conduct architecture, design reviews and mentor AI Engineers, Software Engineers, Data Engineers and Data Scientists

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