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Metro location, common fullstack title, and mid-level experience increase candidate competition.
Requires C#, .NET, Angular, AI enablement and enterprise SaaS experience, limiting cross-industry transferability.
Explicit 6+ years, 2+ years AI, and mandatory C#, .NET, Angular and cloud skills make filters strict.
Lead AI solution design and implementation, providing hands-on technical guidance to engineering and business teams for AI initiatives.
Develop and maintain AI reference architectures, governance practices, and enablement materials to standardize and accelerate AI adoption.
Collaborate with cross-functional teams to integrate AI capabilities into products and workflows, measuring impact on productivity, quality, and customer experience.
6+ years of experience in software engineering, cloud architecture, or enterprise architecture.
2+ years of experience in designing, implementing, or enabling AI solutions.
Proficient in fullstack development with C#, .Net, and Angular.
Strong knowledge of Generative AI, Large Language Models (LLMs), Azure AI Services or similar AI platforms, and AI governance including security, privacy, and compliance.
Experienced in driving AI transformation and enablement across large organizations with a focus on practical adoption and operational excellence.
Strong in mentoring, stakeholder management, and facilitating cross-team collaboration to influence AI best practices without direct authority.
Comfortable working with enterprise SaaS products and cloud platforms, integrating AI into enterprise business applications and workflows.