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Generalist fullstack title with popular tech but Azure/AI specialization moderates applicant density.
Heavy Microsoft Azure and enterprise AI specialization limits transferability across unrelated tech stacks.
Multiple mandatory Azure, AI, and full-stack technical requirements create strict filtering for candidates.
Lead design and delivery of AI-enabled data solutions and modern web applications across client environments.
Architect and build responsive web interfaces and scalable, secure APIs using cloud-native principles.
Guide teams in AI-assisted software development lifecycle and build frameworks for responsible AI governance.
Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI) and enterprise AI solutions on Azure.
Advanced knowledge of large language models, Azure OpenAI, Cognitive Services, and AI software development methodologies.
Proven experience managing client expectations and leading cross-functional teams in AI-enabled digital transformation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in architecting multi-model AI, analytics, and web application solutions within Microsoft Azure ecosystem.
Demonstrates strong technical leadership with ability to translate AI capabilities into measurable business impact.
Capable of managing client relationships and mentoring junior team members in AI and modern web frameworks.