Building for the future
of global capacity.

Own AI risk frameworks, red-teaming, and compliance alignment for regulated client programs. NIST AI RMF and financial services background preferred.

Lead technical discovery and architecture design for enterprise AI programs. Breadth across LLMs, data pipelines, and cloud infrastructure essential.

Model and document enterprise data domains, build semantic layers, and deliver analytics that decision-makers actually use. dbt and SQL mastery required.

Secure AI systems against prompt injection, model exfiltration, and adversarial attacks. Red-team AI deployments and own the security design of LLM-powered workflows.

Map client postures to NIST, ISO 27001, and SOC2 continuously. Build AI-assisted threat detection and compliance reporting pipelines.

Drive cloud cost discipline for enterprise programs — tagging, allocation, rightsizing, and FinOps reporting. FinOps Foundation certification a plus.

Build automation-first QA frameworks for AI-powered financial applications. Playwright, Cypress, and AI-assisted test generation experience valued.

Evaluate LLM outputs, design bias and hallucination test suites, and own synthetic data generation for regulated AI programs.

Design and deliver our AI upskilling curriculum for enterprise cohorts. Experience in corporate L&D or technical education at financial institutions preferred.