Senior AI Risk Technical Advisory Lead

Overview

Senior AI risk expert leading practical advisory across Bloomberg to help product, platform, and tooling teams manage AI risks. You will translate regulatory expectations into technical controls and enable safe AI deployment at scale. You will collaborate with engineering, product, legal, and risk stakeholders to shape practical AI risk standards and governance. The role offers a unique opportunity to bridge technical execution with enterprise risk oversight in a fast-paced, collaborative environment.

Responsibilities

• Provide senior-level technical advisory for AI and generative AI use cases across Bloomberg’s product, platform, internal tooling, automation, and third-party AI solutions
• Evaluate AI risks across bias, explainability, hallucination, robustness, model drift, privacy, security, IP, misuse, transparency, and human oversight
• Advise on controls, testing, monitoring, documentation, and risk mitigation strategies by use case, data sensitivity, model type, deployment context, and regulatory exposure
• Review high-risk AI use cases and present risk-based recommendations to governance forums and senior stakeholders
• Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement
• Partner to mature Bloomberg’s AI risk management framework (classification, risk tiering, assessment methodology, control expectations, monitoring)
• Translate external frameworks and regulatory expectations into internal control guidance for technical/product teams
• Develop reusable advisory materials, playbooks, review criteria, checklists, and model documentation expectations
• Support risk indicators and monitoring approaches for AI systems (performance, drift, hallucination, bias, security, user feedback, issue trends)
• Partner with Technology, Product, Data, Legal, Compliance, CISO, Privacy, Procurement, and business teams to address AI risks
• Facilitate technical risk discussions and resolve questions where product goals, engineering constraints, legal obligations, and risk appetite intersect
• Serve as escalation point for complex AI risk questions and emerging responsible AI issues
• Support AI risk governance forums, regulatory inquiries, and internal reviews
• Develop and deliver training, guidance, and awareness materials for technical/non-technical stakeholders
• Monitor AI tech/regulatory developments and translate into program enhancements

Key requirements

• 10+ years in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI
• 4+ years focused on AI/ML risk, governance, model governance, validation, or technical advisory for AI systems
• Strong technical understanding of AI/ML and generative AI (model development, evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, explainability, safety testing)
• Hands-on familiarity with generative AI platforms and tools, open-source models, vector databases, or related AI infrastructure
• Experience partnering with engineering, product, data science, legal, compliance, privacy, security, and risk stakeholders
• Strong understanding of privacy, security, data governance, and regulatory issues relevant to AI systems
• Excellent communication, able to explain technical risks to senior stakeholders and translate governance expectations to technical teams

• excellent communication
• ability to collaborate across functions
• risk-minded pragmatism
• AI/ML risk and governance
• model risk management
• regulatory alignment (EU AI Act, etc.)

…