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Strong brand, metro location and broad AI skills present, but senior specialization reduces applicant density.
Medium — AI and automation skills transfer across industries but enterprise-scale automation experience adds specificity.
High — explicit 10+ years, 7+ years GenAI, and many mandatory technical and leadership requirements.
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Lead design, development, and deployment of AI-enabled automation solutions transforming business processes across GSC.
Architect enterprise-grade automation and AI solutions using Azure AI Services, Power Platform, Python, and Generative AI technologies including multi-agent systems and autonomous workflows.
Provide technical leadership and mentorship for complex AI initiatives, establishing standards, reusable frameworks, and promoting AI adoption enterprise-wide.
Bachelor's or Master's degree in Computer Science, Engineering, IT, Data Science, AI or related fields.
10+ years of experience in Automation, Software Engineering, AI Engineering, or Digital Transformation.
7+ years of delivering AI, ML, Generative AI, or intelligent automation solutions at enterprise scale.
Experience working with global stakeholders and cross-functional teams on business transformation programs.
Deep expertise in AI solution architecture including Generative AI, Agentic AI, and integration with enterprise systems.
Proven track record leading complex, enterprise-scale AI and automation initiatives with measurable business impact.
Experienced in mentoring technical teams and driving AI innovation and standardization in large organizations.