Top AI Ethics Jobs in Chicago, IL

Leads enterprise AI governance, portfolio strategy, intake, prioritization, roadmaps, and lifecycle management across UL organizations. Partners with business, technology, legal, security, risk, compliance, finance, HR, vendors, and external partners to operationalize responsible AI, evaluate delivery approaches, measure value, manage adoption, and drive AI literacy. Establishes operating frameworks, governance processes, performance metrics, change programs, and sustainable AI implementation strategies.

Supports client assessments and governance for AI, GenAI, cloud, data, and cybersecurity risks. Responsibilities include evaluating model lifecycle controls, responsible AI practices, IAM, encryption, logging, monitoring, data governance, documentation, testing, lineage, and change management. The role applies software and data engineering knowledge to translate technical designs into risk and control implications, collaborates with engineering and risk teams, gathers requirements, manages assigned tasks, and prepares client-ready reports.

Lead enterprise AI adoption by assessing processes, identifying AI use cases, developing implementation playbooks, and running workshops. Partner with IT, Security, Compliance, HR, and business units to design AI-enabled workflows, ensure governance and regulatory alignment, deliver role-based AI education, and measure adoption and productivity gains while preserving human oversight and organizational knowledge.

Lead enterprise AI strategy, governance, and adoption; partner with business and technical leaders to prioritize use cases, measure value and risk, and guide secure, responsible implementation of AI solutions while managing and developing AI talent.

Lead delivery of AI governance programs for financial services clients: build policies, controls, operating models, and KPIs; perform assessments, audits, and model reviews; operationalize monitoring and incident management; support sales, offering development, thought leadership, and people management across multidisciplinary teams.

Lead the first-line-of-defence for AI by defining and operationalising AI control frameworks, overseeing model inventory and lifecycle management, ensuring audit and regulatory readiness, monitoring control metrics, partnering with Risk/Compliance/Audit, and advising AI delivery teams to embed controls across design, deployment, and monitoring of AI solutions.

Leads enterprise AI governance and Responsible AI by translating policies and risk expectations into lifecycle controls, workflows, standards, inventories, risk assessments, monitoring, and production-readiness requirements. Partners with Legal, Compliance, Privacy, Cybersecurity, Data Governance, Technology, Procurement, Audit, and business teams to govern AI use cases, models, agents, vendors, and tools. Reports control coverage, risks, issues, and decisions to AI Center of Excellence and executive leadership.

Leads enterprise AI governance and Responsible AI programs by embedding risk-based controls throughout the AI lifecycle. Establishes intake, risk classification, approvals, monitoring, inventory, documentation, production-readiness, incident response, and control-validation processes for AI models, agents, copilots, vendors, and data use. Partners with Legal, Compliance, Cybersecurity, Privacy, Risk, Data Governance, Technology, Procurement, Audit, and business teams. Reports governance status, risks, issues, and control coverage to executive leadership while translating policies into practical procedures, templates, and guidance.

Provide legal advice and governance for firm-wide AI initiatives, partnering with IT, security, procurement, and business teams. Advise on data use, privacy, IP, confidentiality, vendor contracts, and regulatory developments; develop policies, training, and standards to enable responsible AI adoption and mitigate operational, legal, and reputational risk.

Lead Box's ISO 42001 AIMS certification and build the AIMS program. Plan and execute external audits, assess AI governance and controls, remediate gaps, work cross-functionally across security and compliance frameworks, and communicate compliance posture to stakeholders.