As a Generative AI Engineer, you will work with clients to solve complex challenges and deliver bespoke AI solutions using Azure OpenAI Service and Retrieval-Augmented Generation (RAG) patterns.
Requirements
- Azure AI & Frameworks: Solid, hands-on experience architecting and building advanced AI solutions using Azure OpenAI Service and Retrieval-Augmented Generation (RAG) patterns.
- Cloud-Native Application Development: A proven track record of deploying production-grade Python solutions on Microsoft Azure.
- Azure MLOps & Automation: Experience implementing MLOps principles using Azure Machine Learning and Azure DevOps.
- Client Communication & Stakeholder Engagement: An exceptional ability to communicate complex technical concepts—such as Tokenomics or Model Fine-tuning—clearly and effectively to everyone from engineering teams to C-suite stakeholders.
- Requirements Translation & Problem-Solving: A proven ability to dissect client business challenges and translate them into functional AI requirements.
- Technical Presentations & PoV Demos: Confident in architecting and delivering compelling Proof of Value (PoV) demos within the Azure ecosystem.
- Collaboration & Professional Credentials: A collaborative team player with a focus on shared success.
Benefits
- Paid parental leave
- Initiatives focused on your well-being
- Discounted health insurance
- Discounts on various products and services
- Recognition and reward for high performance
- Career development through Capability Fingerprint, industry and partner training programs, special interest groups, and an AI-driven learning platform