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Mid-level AI role in metro with broad Azure/generative requirements increases competition.
AI application skills transfer across industries, though enterprise Azure experience modestly biases fit.
Multiple mandatory technical requirements (Azure OpenAI, Copilot Studio, programming languages) create strict filtering.
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Design, develop, deploy, and maintain AI applications focusing on generative AI using Microsoft Azure, Azure OpenAI, and Copilot Studio.
Engineer scalable and secure architectures for AI-driven automation, conversational interfaces, and agentic AI systems.
Collaborate with cross-functional teams and stakeholders to prototype, optimize, and communicate AI capabilities and solutions.
Minimum 2 years of experience in AI application development.
Proven experience with AI app development and deployment on Microsoft Azure, including Azure OpenAI and Copilot Studio.
Strong programming skills in Python, C#, JavaScript, or similar languages; knowledge of prompt engineering and generative model fine-tuning.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
Experienced in developing enterprise AI deployments or conversational AI for customer-facing applications.
Capable of building advanced agentic AI systems involving autonomous agents and multi-step reasoning.
Familiarity with cloud security, DevOps, and data pipelines relevant to AI application development.