Vice President - AI Safety Platform Engineering

Role Overview

We are seeking a
Vice President – AI Safety Platforms
to build and lead our enterprise AI safety engineering initiatives. As generative AI in financial services evolves from simple prompt-response workflows to autonomous agentic systems that execute multi-step plans, call APIs, and interact directly with internal systems, establishing robust safety mechanisms and standardized evaluation protocols is essential.

• Company-Wide Architecture:Design, build, and deploy a single, company-wide agentic evaluation framework
  that standardizes how teams across all business lines benchmark, test, and measure AI agent performance prior to production deployment.
• Trajectory & Multi-Step Reasoning Assessment:Implement evaluation methodologies that score autonomous planning quality, tool-calling precision, multi-turn state retention, trajectory efficiency, and error-recovery behaviors.
• Continuous Monitoring & Production Drift:Integrate automated evaluation pipelines into runtime environments to continuously audit agent execution traces, detecting reasoning drift, tool failure modes, and unexpected trajectory shifts in production.
• Domain-Specific Benchmarking:Establish standardized test suites and synthetic evaluation benchmarks tailored to complex financial workflows, such as automated research, risk assessment, and operational task execution.

• Low-Latency Guardrail Engine:Architect and scale enterprise guardrail microservices that inspect prompt inputs, retrieved context, and model outputs in real time to prevent data leakage, policy violations, and unvalidated execution.
• Tool-Use & Action Control:Implement runtime policy gateways that inspect and authorize tool calls before execution, ensuring agentsoperatewithin authorized data boundaries and action scopes.
• Human-in-the-Loop (HITL) Triggers:Build configurable escalation workflows and approval gates that automatically pause execution for high-risk operations (e.g., money movement, client record modifications, or external communications) until human authorization is granted.

• Drive Platform Enhancements:Partner directly with the core AI Platform team to drive the implementation of safety APIs, telemetry hooks, developer SDKs, andMLOps/LLMOpspipeline integrations.
• Auditability & Execution Telemetry:Define and enforce technical standards for immutable audit logging, execution tracing (e.g.,Open Telemetry standards), and principal identity propagation across all agentic workflows.
• Regulatory & Model Risk Alignment:Translate model risk management standards (e.g., SR 11-7 / SR 26-2 guidance, FINRA supervision requirements) into automated engineering safeguards and policy checks.

• Team Building & Mentorship:Hire, develop, and mentor high-performing engineering teams specializing in applied machine learning, AI safety, and enterprise platform engineering.
• Strategic
  
  Roadmap:
  
  Own the technical roadmap for enterprise AI safety infrastructure, setting clear milestones for evaluation framework adoption, runtime latency optimization, and governance automation.
• Stakeholder
  
  Collaboration:
  
  Articulate technical risk profiles,evaluation metrics, and safety architecture to risk committees, model validation teams, and executive leadership.

• Role Level:Vice President experience (or equivalent senior engineering leadership) in financial services or large-scale enterprise software environments.
• Education:Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Systems Engineering, or a related quantitative field.
• Enginee…