Azure AI Solutions Architect
Azure AI Solutions Architect
Posted today
SENIORITY
Lead
About the role
- Design end-to-end solution architectures for AI and Generative AI initiatives using Microsoft Azure.
- Partner with AI enablement, Enterprise Architecture, engineering and business teams to translate use cases into scalable technical designs.
- Evaluate architecture options and recommend appropriate Azure services, patterns and integrations.
- Develop or contribute directly to proofs of concept when needed to validate new AI capabilities.
- Provide hands-on technical guidance to engineering and development teams throughout implementation.
- Support multiple AI-related workstreams and enterprise technology initiatives simultaneously.
- Review vendor-proposed architectures and provide technical direction and oversight.
- Ensure solutions align with enterprise architecture, security, scalability and integration standards.
- Communicate technical designs and recommendations clearly to both technical teams and leadership.
- Help establish reusable architecture patterns for future AI initiatives.
- Extensive experience as a Solution Architect, Cloud Architect or Enterprise Architect.
- Strong Microsoft Azure architecture experience.
- Strong understanding of AI, Generative AI and modern AI application architecture.
- Experience designing AI solutions from both an architecture and development perspective.
- Ability to work hands-on when necessary, including building or supporting technical proofs of concept.
- Strong understanding of cloud-native architecture, APIs, integrations and distributed application design.
- Ability to work directly with developers and engineering teams rather than operating solely at a conceptual architecture level.
- Experience managing multiple architecture initiatives or workstreams in a complex enterprise environment.
- Strong communication skills with the ability to interact across architecture, engineering and business teams.
- Previous experience within healthcare, health insurance or payer environments.
- Experience supporting claims, clinical or healthcare operations systems.
- Experience implementing AI solutions within highly regulated enterprise environments.
- Familiarity with Azure AI services and Microsoft’s broader AI ecosystem.
- Experience working within or alongside an Enterprise Architecture organization.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
