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Senior, niche data platform and GenAI requirements reduce applicant pool but metro location increases interest.
Technical data platform and cloud skills are transferable, but regulated financial services and GenAI experience increase domain sensitivity.
Explicit 13+ years, production GenAI and enterprise platform delivery expectations make hiring filters strict.
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Lead enterprise application architecture and engineering for large-scale modernization initiatives.
Design and implement AI-driven, cloud-native solutions including Large Language Model and Agentic AI applications on AWS.
Establish architecture standards, advance DevSecOps and Infrastructure as Code practices, and mentor technical teams while collaborating with cross-functional stakeholders.
13+ years of software engineering and solution architecture experience with delivery of large-scale enterprise platforms.
Experience delivering production-grade Generative AI solutions.
Proven leadership experience managing high-performing engineering teams.
AWS Solutions Architect certification or equivalent preferred; experience in financial services or regulated industries preferred but not mandatory.
Senior technologist with extensive experience in enterprise and end-to-end solution architecture in cloud-native and distributed systems.
Strong background in AI-first approaches and modern architectures such as microservices, event-driven designs, and reusable platform development.
Experienced leader capable of translating complex technical concepts to business stakeholders and driving innovation in regulated or financial services environments.