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Common mid-level full-stack title but niche Azure AI and LLM requirements lower applicant density.
Medium — requires Microsoft Azure and enterprise AI expertise, somewhat transferable across industries but domain-specific.
High — multiple mandatory Azure, LLM, full-stack technical requirements plus leadership and client-facing expectations.
Lead design and delivery of AI-enabled data solutions and modern web applications on Microsoft Azure stack.
Architect and develop scalable APIs, microservices, and responsive web interfaces integrating enterprise data and AI features including LLMs and Cognitive Services.
Provide technical leadership, manage project work streams, mentor junior staff, and cultivate client relationships to drive AI digital transformation initiatives.
Deep expertise in Microsoft data technologies including Azure Data Factory, Synapse, and Power BI.
Proven experience implementing enterprise AI solutions on Azure with advanced knowledge of large language models and AI-enhanced development.
Demonstrated ability in AI model evaluation, validation, and responsible deployment using Azure OpenAI and Cognitive Services.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading AI-driven digital transformation projects within enterprise environments using Microsoft Azure and modern web frameworks.
Strong technical acumen in multi-modal architectures combining analytics, AI, and web technologies to create measurable business impact.
Skilled in client-facing roles managing expectations, proposing strategic AI adoption, and mentoring cross-functional teams.