AI Summary
Seeking a Senior AI Solution Architect to design generative AI solutions on Microsoft Azure. This role involves shaping end-to-end architectures for GenAI use cases, from definition to production. Responsibilities include technical leadership and ensuring scalable, secure, and production-ready AI solutions.
Key Highlights
Lead the design of generative AI solutions on Microsoft Azure.
Shape end-to-end architectures for GenAI use cases and guide delivery teams.
Focus on scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.
Key Responsibilities
Designing end-to-end architectures for generative AI and AI-driven applications
Translating business requirements into Azure-based solution designs and delivery approaches
Defining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architectures
Making architectural decisions around Azure services, integration patterns, and deployment models
Providing technical leadership to AI and engineering teams during delivery
Reviewing solution designs and implementations to ensure quality, performance, and security
Technical Skills Required
Benefits & Perks
€400–€425 per day
Fully remote
Initial 9 month contract, with strong potential to extend further
Job Description
AI Solution Architect – GenAI & Azure AI (Contract, Remote)
We’re looking for a senior AI Solution Architect to lead the design of generative AI solutions built on Microsoft’s cloud and AI platforms. This role focuses on shaping end-to-end architectures for GenAI use cases and guiding delivery teams through to production.
The role:
You’ll own solution architecture across multiple generative AI initiatives, working from early use-case definition through to implementation. The focus is on designing scalable, secure, and production-ready AI solutions using Azure and Microsoft AI services.
What you’ll be doing
- Designing end-to-end architectures for generative AI and AI-driven applications
- Translating business requirements into Azure-based solution designs and delivery approaches
- Defining patterns for LLM-enabled solutions, including search-augmented and retrieval-based architectures
- Making architectural decisions around Azure services, integration patterns, and deployment models
- Providing technical leadership to AI and engineering teams during delivery
- Reviewing solution designs and implementations to ensure quality, performance, and security
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Microsoft Azure cloud services and PaaS components
- Azure AI and generative AI platforms (including LLM-based services and search-driven AI)
- Cloud-native architectures (serverless, containers, managed services)
- CI/CD pipelines and DevOps practices within Microsoft ecosystems
- Python and/or modern Microsoft application stacks
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- Initial 9 month contract, (with strong potential to extend further)
- Fully remote
- €400–€425 per day
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