Sr Software Engineer, GenAI Platform & Practice

You’ll engineer the workflows, judgment frameworks, and validation tools that let LLMs generate production-quality code — then make this approach accessible to engineering teams across the organization. You’ll build the automated validations that push the boundary of GenAI-first development, concentrate expert judgment, and feed what vertical teams learn back into the platform. Expert judgment is core to this role — knowing when to automate, when to include the expert in the loop, when an approach will scale to the whole org. Demonstrated ability to adopt new development paradigms and apply them to real problems with concrete examples (e.g., GenAI-driven development, infrastructure-as-code, test automation frameworks, CI/CD transformation, or comparable shifts in how a team builds software). Deep domain expertise. Clear communication across engineers, engineering leaders, and quality engineering. 8+ years of prior software engineering experience. 1 year experience having defined and evolved GenAI development automation, templates, and workflow patterns. 1 year experience having built, acquired, and spec the validation tools that expand what GenAI-first development can reliably automate. 1 year experience having designed and ran experiments that push the limits of the approach and define the metrics that prove what’s working. 1 year experience having built the compliance, security, and quality validations into the automation. Bachelor’s degree required in a related subject area, or we may consider an equivalent industry experience Fluency with GenAI-first development tools such as AI coding assistants, LLM-driven automation frameworks, or similar platforms. Experience in financial services, payments, or regulated technology domains. Automated validation, quality engineering, or test automation at scale. Establishing a new team or function: defining practices, engagement models, and priorities from scratch.