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Strong employer brand and metro location but niche hyperautomation specialization limits applicant pool.
Skills are transferable across industries but regulated healthcare experience and enterprise architecture bias moderate fit sensitivity.
Explicit 8+ years plus mandatory enterprise architecture, hyperautomation, and specific platform experience increases filter strictness.
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Lead and govern enterprise architecture strategy and standards for AI-driven Hyperautomation solutions across business and IT functions.
Design scalable, secure, compliant, and reusable automation solutions using technologies such as GenAI, AI/ML, RPA, Process Mining, Workflow Automation, and Cloud platforms.
Collaborate with stakeholders to develop roadmaps, conduct architecture reviews, influence technology adoption, and mentor architects and engineers.
Bachelor's degree with 8+ years, advanced degree with 7+ years, or equivalent experience.
8+ years in Enterprise, Solution, or Technology Architecture with expertise in Hyperautomation.
Strong technical knowledge and hands-on experience with AI/ML, GenAI, RPA, Process Mining, APIs, Data Platforms, Cloud Architecture, and platforms like UiPath, Automation Anywhere, Power Automate, Databricks, Snowflake, AWS, and Azure.
Experience architecting large-scale enterprise solutions with compliance for security, privacy, regulatory, data governance, and Responsible AI standards.
Experienced senior architect proficient in driving enterprise-wide AI-driven automation transformation and governance.
Skilled in partnering across business, data, security, and platform teams to translate high-value opportunities into scalable, reusable solutions.
Background in integrating multiple complex technologies and influencing platform strategy in regulated or large-scale environments.