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Metro mid-level generative AI role, popular title and broad requirements increase applicant competition despite Foundry specialization.
Strong Azure Foundry, enterprise LLMOps, and regulated finance experience make cross-industry transitions limited.
Multiple mandatory techs (Microsoft Foundry, Azure OpenAI), 6+ years, and regulated finance experience enforce strict filters.
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Design, build, test, and deploy scalable, production-grade generative AI applications and agentic workflows using Microsoft Foundry and Azure AI services.
Develop retrieval augmented generation solutions and AI assistants that integrate with enterprise platforms and business processes in a secure, regulated environment.
Collaborate with cross-functional teams to ensure AI solutions remain secure, scalable, cost-effective, and aligned with enterprise and compliance standards.
6+ years of experience in software engineering, AI engineering, machine learning, data science, or related roles.
Strong hands-on Python development experience with frameworks like FastAPI or Flask.
Experience building and deploying production generative AI or large language model solutions using Microsoft Foundry, Azure AI Foundry, or Azure AI services.
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related discipline.
Proven expertise in developing enterprise-grade AI solutions involving generative AI, AI agents, multi-agent workflows, and retrieval augmented generation.
Hands-on experience with Microsoft Azure AI ecosystem including Azure AI Search, Blob Storage, Cosmos DB, Microsoft Entra ID, and cloud native technologies like Docker and AKS.
Experience working within secure, regulated environments such as financial services with ability to address security, privacy, risk, and compliance requirements.