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We’re looking for a Cloud Solution Architect (AI Specialist) to help customers design, build, and operationalize AI powered solutions on Azure. You’ll work directly with enterprise customers as a trusted technical advisor, guiding them from early AI experimentation through secure, scalable, production ready AI solutions. This role blends deep technical expertise, hands on architecture, and customer engagement, with a strong focus on Agentic AI / autonomous agents, and modern application architectures.
Job Responsibility:
Partner with customers to architect and deliver AI enabled solutions on Azure, from design through deployment and operational readiness
Translate business goals and technical requirements into secure, scalable AI and application architectures
Lead technical workshops, architecture reviews, and solution deep dives with customer and account teams
Help customers move from POCs and pilots into production, with a strong focus on reliability, security, cost, and responsible AI
Collaborate across engineering, security, and delivery teams to drive adoption, usage, and measurable business outcomes
Requirements:
4+ years experience in cloud, software engineering, solution architecture, or technical consulting roles
Working knowledge of Azure application, data, and AI services, and identity and security fundamentals
Experience using AI assisted developer tools such as GitHub Copilot to improve developer productivity and code quality
Experience translating customer requirements into technical designs, validating assumptions, and delivering solutions aligned to best practices
Handson experience improving delivery quality through infrastructure a scode, CI/CD optimisation, test automation, or pipeline modernisation
Experience working directly with customers or internal stakeholders in a technical advisory capacity, including architecture discussions and solution reviews
Ability to communicate clearly with engineering teams, architects, and nontechnical stakeholders, adapting depth and language to the audience
Demonstrated independence, ownership, and rapid rampup in new technical or customer environments
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Nice to have:
6+ years experience delivering complex, customer facing technical solutions
Experience delivering production grade AI or modern application workloads
Strong understanding of AI models, agents, and orchestration patterns, across Microsoft and partner ecosystems