Vice President - AI Safety Platform Engineering

Goldman Sachs Group, Inc.; New York (NY); On-site; USD 130,000 - 250,000; Full time

Benefits offered by this job

On-site health centers

On-site child care

Discretionary bonus

Comprehensive benefits

Job summary

Goldman Sachs Group, Inc. seeks a Vice President to lead AI safety platform engineering in New York. You will architect and drive enterprise safety initiatives, building a unified evaluation framework, real-time guardrails, and governance integrations across the core AI platform.

As the senior technical authority, you will mentor engineering teams, partner with risk control and business units, and align safety metrics with regulatory expectations to ensure safe, verifiable deployments.

Qualifications

• Role Level: VP or equivalent senior leadership in financial services or large-scale enterprise software.
• Education: Bachelor's or Master's in Computer Science, AI, Systems Engineering, or related field.
• Leadership: 4+ years leading ML or software teams in platform infra or microservices.
• Software depth: 8+ years in building microservices, APIs, or enterprise platforms.
• AI & agentic: Fluency with LLMs, tool integration, and agentic execution paradigms.

Responsibilities

• Lead the Unified Agentic Evaluation Framework across the company to benchmark and test AI agent performance pre-production.
• Develop real-time LLM guardrail services and policy gateways to prevent leakage and policy violations.
• Collaborate with core AI Platform, risk control, and business units to enhance telemetry, execution logging, and governance controls.
• Mentor engineering teams and own the technical roadmap for safety infrastructure and governance automation.

Skills

VP-level leadership

Distributed ML teams

Software architecture

AI safety fluency

Risk awareness

Education

CS/AI/Systems Eng degree

Tools

LangChain

AutoGen

CrewAI

MCP server architectures

Job description

Vice President - AI Safety Platform Engineering

New York, NY, United States

Job Description

Role Overview

We are seeking aVice President – AI SafetyPlatformsto 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,establishingrobust safety mechanisms and standardized evaluation protocols is essential.

In this role, you will recruit and lead dedicated engineering pods focused on developinga unified company-wide agentic evaluation framework, real-time LLM guardrail services, and automated governance controls. As the senior technical authority for AI safety, you will collaborate closely with core AI platform teams, risk control functions, and business units to drive necessary enhancements to the core AI platform (such as telemetry hooks, API capabilities, execution sandboxes, and data logging infrastructure) to ensure all enterprise AI deployments operate safely, verifiably, and in compliance with institutional standards.

Key Responsibilities

1. Unified Agentic Evaluation Framework

• Company-Wide Architecture:Design, build, and deploya single, company-wide agentic evaluation frameworkthat 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:Establishstandardized test suites and synthetic evaluation benchmarks tailored to complex financial workflows, such as automated research, risk assessment, and operational task execution.

2. LLM Guardrails Infrastructure & Real-Time Controls

• 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.

3. Core AI Platform Enhancements & Governance Integration

• 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.,OpenTelemetrystandards), 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.

4. Engineering Leadership & Strategic Oversight

• 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,evaluationmetrics, and safety architecture to risk committees, model validation teams, and executive leadership.

Key Qualifications

Basic Qualifications

• Role Level:Vice President experience (or equivalent senior engineering leadership) in financial services or large-scale enterprise software environments.
• Education:Bachelor’s orMaster’s degree in Computer Science, Artificial Intelligence, Systems Engineering, or a related quantitative field.
• Engineering Leadership:4+ years leading applied ML or software engineering teams in building platform infrastructure or microservices.
• Software Engineering Depth:8+ years of hands‑on software development experience (Python, Go, Java, or C++) building microservices, high‑throughput APIs, or enterprise platform services.
• AI & Agentic Expertise:Technical fluency with Large Language Models (LLMs), RAG systems, function calling / tool integration, and agentic execution paradigms (e.g.,LangChain,AutoGen,CrewAI, MCP server architectures).

Preferred Experience & Technical Skills

• Agentic Evaluation:Direct experience building agent evaluation frameworks and metrics (e.g., LLM-as-a-Judge, G-Eval, trajectory trace evaluation, task completion scoring).
• Guardrail Frameworks:Hands‑on experience integrating low‑latency guardrail tools and runtime filters (e.g.,NeMoGuardrails, Guardrails AI, Llama Guard).
• AI Observability & Tracing:Experience with LLM and agent tracing tools (e.g.,LangSmith,OpenTelemetry, Phoenix,MLflow) and structured audit logging infrastructure.
• Platform Engineering Alignment:Proven ability to partner across teams and drive key governance capabilities into core shared platforms.

Salary Range
The expected base salary for this New York, NY, United States-based position is $130000-$250000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally availableto active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .

Job Info

• Job Identification 171223
• Job Category Vice President
• Posting Date 09/02/2026, 01:50 PM
• Apply Before 12/31/2026, 05:00 AM
• Locations New York, NY, United States

Healthcare & Medical Services

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state‑of‑the‑art on‑site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on‑site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre‑approved amount).

We offer on‑site child care centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

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