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Mid-level GenAI role, metro location, and broad generalist requirements increase applicant competition.
AI engineering skills transfer across industries, but Azure/Power Platform and regulated insurance context increase specificity.
Mandatory Azure and Power Platform expertise, explicit years, and production GenAI experience make shortlisting strict.
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Design, develop, and operationalize generative AI solutions across GBS functions using Microsoft low code/no code and Azure tech stack.
Translate business needs into AI workflows, prompt design, and acceptance criteria; ensure solutions are production-ready, reliable, and compliant with data privacy requirements.
Maintain AI quality with metrics, govern prompt versioning, and provide stakeholder communication on AI performance and risks.
Bachelor's degree required; preferably in Computer Science, Data Science, Information Systems, or equivalent experience.
3 to 6 years experience, with at least 2 years building GenAI/LLM solutions in production and experience with Microsoft’s AI tech stack such as Copilot Studio, Power Apps, Power Automate.
Proficiency in Python, SQL, Azure AI services (Azure OpenAI, Azure AI Foundry, Azure Content Understanding), and prompt engineering for LLMs.
Work Experience Required: 3 to 6 years, including 2 years GenAI/LLM production experience.
Strong applied AI engineering skills within Microsoft Azure AI ecosystem, with experience in building and managing AI workflows, prompt design, and evaluation.
Ability to engage business stakeholders translating requirements into AI-enabled solutions with strong documentation and communication skills.
Experience in AI governance, compliance with data privacy regulations, and applying responsible AI principles in production environments.