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Cloud Solution Architect - AI Apps

United States, Multiple Locations, Multiple Locations💼 Full-time🗓 2026-07-09 → 2026-07-31

Core

Design and deliver scalable AI application and Agent-based solutions, translating business requirements into production-grade architectures that create tangible business value.

Role type

Cloud Solution Architect (AI & Agentic Systems)

Builds

Production-grade AI solutions, agentic applications, and solution accelerators

Domain

Cloud infrastructure, AI/ML, Agentic systems, Enterprise software

Deliverable

production ML models | product features

Required skills

Cloud architecture, AI solution design, Agentic system orchestration, Technical programme leadership, Customer-facing consulting, Solution acceleration, Enterprise deployment, Platform roadmap influence, Technical thought leadership

Preferred skills

Factory-based delivery approaches, Reusable IP creation, Modern design pattern adoption

Technologies

Azure, AKS/Kubernetes, Azure Functions, API Management, Event-driven architectures

Responsibilities

Design end-to-end AI solutions from ideation to production deployment, Architect agentic applications with roles, tools, memory, and guardrails, Drive scalable delivery through structured technical programme leadership, Champion customer needs by influencing engineering roadmap and feature prioritization, Act as a technical thought leader in AI applications and Agentic systems, Scale impact by sharing expertise and contributing to reusable IP

Seniority

Senior, hands-on IC with strategic influence

Rewrite
## About the role * Develop a deep understanding of customers' business priorities, application landscape, and AI readiness, linking technology decisions to measurable outcomes. * Design and deliver AI application and Agent-based solutions that create tangible business value. * Drive scalable delivery through structured technical programme leadership, leveraging a factory-based approach to create visibility, demand, and execution consistency across regions. * Ensure solution excellence by delivering production-grade solution accelerators that meet requirements for performance, security, scalability, reliability, and reusability. * Architect end-to-end AI solutions, translating business requirements into scalable architectures, guiding customers from ideation (POC/MVP) through to enterprise-grade production deployments. * Design agentic applications with clear roles, tools, memory, orchestration, guardrails, human-in-the-loop checkpoints, and failure handling. * Champion customer needs by providing structured feedback to Engineering, influencing platform capabilities, roadmap direction, and feature prioritisation—particularly across AI apps, agents, and model lifecycle. * Act as a technical thought leader in AI applications and Agentic systems, staying ahead of industry trends and advancing adoption of modern design patterns. * Scale impact across the field by sharing expertise, contributing to reusable IP, and driving consistency in AI application and agent delivery approaches. ## Requirements * Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. * Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 5+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. * Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 3+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting. * Equivalent experience. * 2+ years experience working in a customer-facing role (e.g., internal and/or external). * 2+ years experience working on technical projects. * Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications). * Experience integrating AI solutions with broader Azure services (e.g., Azure Functions, AKS/Kubernetes, API Management, event-driven architectures). ## Nice to have * (None specified in the original text) ## What we offer * (None specified in the original text) ## About us * (None specified in the original text)
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