About the role / About the job
Join a team dedicated to pushing the boundaries of open finance. The internal AI platform at the company seeks to expand and enhance its capabilities to meet the growing demands of the organization. As part of the Enterprise Transformation team, you will design and build critical components of the AI platform, ensuring it is not only functional but also secure and adaptable for safe organizational use.
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The opportunity
- Design and build the technical layer of the AI platform, from integration surface to production runbook. Identify and close capability gaps by evaluating vendors or developing solutions in-house.
- Own the governed integration gateway as an engineering surface, handling connector onboarding, authentication flows (OAuth and federated identity), reliability, and vendor escalation when issues arise.
- Develop internal tooling that extends the platform, including agent scaffolding, reusable skills and prompt assets, evaluation harnesses for model changes, provisioning automation, and AI tooling integrations with systems of record.
- Configure and operate tiered spend controls across the AI estate. Set role-based caps, develop alerting rules, manage exception queues, conduct monthly reconciliations against vendor commitments, and mitigate single author risk in cap automation.
- Implement technical controls covering data handling, retention, and model eligibility. This will involve identity integration, SSO, SCIM, role-based entitlement, and configuring workspaces according to various retention terms.
- Work directly with teams to remove obstacles. Collaborate to understand workflows and build or configure tools that amplify their efficiency.
- Conduct technical enablement sessions, including in-depth tool rollouts, office hours for model releases, and maintaining authority over engineering details in knowledge base materials.
- Administer the enterprise AI estate end-to-end, including model deployments, feature enablement, provisioning queues, vendor configurations, and managing seat true-ups.
What you bring
- Experience with enterprise SaaS administration for 1,000+ seats, preferably including AI or LLM platforms.
- Proven track record of building and shipping operational software, with proficiency in Python or comparable languages. Familiarity with version control, CI, containers, and secrets management.
- Background in integrating LLM and SaaS APIs, along with an understanding of agent and tool usage patterns, including MCP or similar architectures.
- Working knowledge of identity and access principles. Experience with platforms like Okta, OAuth, SCIM, SSO, and federated machine identity.
- Operational discipline with familiarity in intake queues, SLAs, runbooks, and documenting fixes promptly.
- Effective teaching skills, able to explain technical capabilities to varied audiences including compliance, traders, and backend engineers.
- Strong written communication for technical documentation, runbooks, and policy pages.
- Ability to exercise judgment on development needs, distinguishing between essential organizational capabilities and less viable demo features.
Nice to haves
- Experience establishing internal developer or AI platforms, including self-service and guardrail frameworks.
- Knowledge of FinOps or software asset management practices.
- Experience with low-code or workflow automation platforms.
- Deep knowledge of Atlassian tools such as Jira, Confluence, or JSM.
- Familiarity with compliance and regulatory audit processes in the financial services sector.
Additional information
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Applicants are encouraged to redact personal information pertaining to age, date of birth, or educational timelines on their resumes.
Qualified applicants with criminal histories will be considered for employment, following the guidelines of the San Francisco Fair Chance Ordinance.
As an equal opportunity employer, we celebrate diversity and do not tolerate discrimination or harassment based on any protected characteristic.
