Über diese Azure AI Foundry Architect Stelle bei Bounteous
Job Title: Azure AI Foundry Architect
Location: Remote (Onshore Preferred – 5 days onsite)
Employment Type: Contract
Domain: Retail
About the Role
We are seeking an experienced Azure AI Foundry Architect to support our Retail AI team, in accelerating enterprise AI adoption through the design, governance, and deployment of secure, scalable AI platforms.
This role will be responsible for architecting and governing Azure AI Foundry environments, Azure OpenAI services, model access patterns, AI evaluation frameworks, deployment standards, and enterprise AI governance practices. The ideal candidate brings hands-on experience building production-grade Generative AI and agentic AI solutions while ensuring security, compliance, scalability, and operational excellence.
The architect will work closely with business stakeholders, AI engineers, cloud platforms, cybersecurity, enterprise architecture, and data teams to establish best practices and scalable AI deployment patterns across the organization.
Key Responsibilities
Azure AI Foundry Architecture & Strategy
- Design and implement enterprise-scale Azure AI Foundry architectures.
- Define AI platform standards, reusable architectures, and deployment frameworks.
- Establish Azure AI Foundry project structures, resource organizations, and environment strategies.
- Develop reference architectures supporting enterprise AI initiatives.
- Guide adoption of Azure-native AI services across the organization.
Azure OpenAI & Model Architecture
- Architect secure and scalable Azure OpenAI implementations.
- Define model consumption and deployment strategies.
- Design enterprise model access patterns supporting internal business applications.
- Evaluate model selection strategies for various business use cases.
- Optimize AI platform performance, reliability, scalability, and cost management.
- Support LLM deployment lifecycle management.
- AI Foundry Resource & Project Management
Required Qualifications
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
Advanced degree preferred but not required.
Experience
- 3-5 years of hands-on experience architecting Azure cloud solutions.
- Experience designing enterprise AI or Generative AI platforms.
- Proven experience deploying production AI solutions in Azure environments.
- Experience collaborating with enterprise architecture, security, and cloud engineering teams.
Preferred Qualifications
- Experience leading AI platform architecture initiatives within large enterprises.
- Experience implementing Retail AI use cases.
- Experience with Microsoft Fabric, Dataverse, and Power Platform integration.
- Exposure to MLOps and LLMOps practices.
- Knowledge of Responsible AI and regulatory compliance requirements.
- Microsoft Azure AI Engineer Associate or Azure Solutions Architect certifications preferred.
- Strong architecture and systems thinking.
- Excellent stakeholder management skills.
- Ability to translate business requirements into technology solutions.
- Strong consulting and advisory capabilities.
- Exceptional documentation and communication skills.
- Ability to influence cross-functional teams and executive stakeholders.
