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Metro location and established enterprise brand increase applicant density, but senior technical specialization reduces it.
Requires enterprise backend architecture and AI productization experience, limiting cross-industry transferability.
Explicit 10+ years, 3+ years management, and strong architecture requirements make filters strict.
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Lead and grow a high-performing AI Product Development dev pod including Software Engineers, UI/UX, QA, and SecOps engineers with full people management ownership.
Hold Architect-level technical authority over backend architecture, system design, database patterns, and platform scaling for 4-6 concurrent AI productization projects.
Ensure project delivery quality, reliability, scalability, and align with leadership priorities through quarterly roadmaps and governance forum representation.
10+ years software engineering experience with 3+ years managing engineering teams of 5+ direct reports.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field.
Strong backend development skills (Java, Python, or equivalent) with deep expertise in system design, distributed systems, message queues (RabbitMQ, Kafka), and database access patterns.
Hands-on experience integrating AI/LLM features into production systems, plus strong CI/CD and engineering hygiene proficiency.
Experienced in leading software engineering teams responsible for complex enterprise SaaS or platform productization projects, especially within AI productization.
Technically hands-on with backend architecture and system scalability, capable of operating at architect level alongside AI and platform architects.
Proven ability in building and scaling inclusive teams while managing performance and career growth within consulting or professional services environments.