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Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The Solutions Engineer leads technical evaluations, designs proof-of-concepts, crafts architectures for enterprise clients, and collaborates with teams to enhance customer implementation success.

As an Engagement Manager Lead, you will be responsible for overseeing customer programs from contract signature to expansion, ensuring excellent delivery and leading teams to drive AI adoption and growth opportunities. Direct customer communication, solutioning, and feedback integration are key responsibilities.

Lead strategic security initiatives reporting to the CISO: evolve vulnerability management for AI threats, support sales/client due diligence with technical collateral, and tackle ambiguous high-complexity technical problems across the organization.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.