





Senior role with niche AI-platform skills reduces pool, but metro location and generalist engineer title increase competition.
Enterprise AI-platform leadership and deep full-stack plus cloud expertise make cross-industry transfers limited.
Explicit 10+ years, required AWS, Java/Python, AI and CI/CD skills make filters strict.
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Lead multiple AI-first platform engineering initiatives to embed AI capabilities and influence scalable, enterprise-wide technical decisions.
Architect solutions and provide technical leadership across complex, matrixed enterprise environments, aligning stakeholders.
Drive automation of CI/CD pipelines and champion security, quality, and compliance from design through delivery.
10+ years of professional software engineering experience with enterprise-level application delivery.
Strong programming expertise in Java or Python, including UI, Web services, and NoSQL databases.
Hands-on experience with AWS cloud architecture and DevOps automation of CI/CD pipelines.
Proven ability to communicate and influence in a complex, globally distributed organization.
Experienced in designing and leading full-stack, AI-native applications using foundation models and AI coding agents.
Comfortable managing complex system design and process improvements beyond coding, with technical leadership responsibilities.
Familiar with implementing security and quality practices early in development with a 'shift-left' approach in enterprise SaaS/PaaS/IaaS contexts.