Top AI Ethics Jobs in Austin, TX

Lead implementation and operationalization of Responsible AI and AI governance across the AI lifecycle, embedding controls into delivery processes, assessing vendor and model risk, monitoring performance and drift, and partnering cross-functionally to translate regulations into policies, playbooks, and training that enable safe, ethical, and compliant AI adoption.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

As Director of AI Change Enablement at eBay, you will lead the AI transformation strategy, drive change management, and ensure employee adoption of AI initiatives across the enterprise, acting as a strategic partner to leadership.

As a Technical Product Intern, you'll prototype user safety features, conduct competitive analysis, and translate compliance frameworks into product logic, focused on real-time AI enforcement.

Evaluate AI outputs, perform audit-based reviews, identify failure modes and trends, apply and refine guidelines, communicate findings, participate in calibrations and stakeholder syncs, and help improve evaluation frameworks for human-in-the-loop AI.

Execute AI use-case, vendor, model, agentic AI, and generative AI risk assessments; administer Credo AI workflows; develop governance processes, risk classifications, controls, and reporting; evaluate AI contracts; monitor regulatory frameworks; and advise governance committees while partnering with Legal, Cybersecurity, Procurement, Engineering, and business stakeholders.

Lead design and implementation of AI and data governance frameworks, privacy guardrails, metadata standards, and compliance with GDPR/HIPAA/CCPA/NIST AI RMF. Monitor and audit models for bias, explainability, and transparency; partner with engineers, stewards, and leaders to embed ethical decision-making, set KPIs, run audits, and produce dashboards and reports to drive governance adoption.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous written feedback, distinguish response quality levels, help define evaluation standards, and record short video explanations. The role requires senior-level software engineering experience, familiarity with AI-assisted development tools, strong TypeScript/JavaScript or Python skills, and excellent English communication.

Leads enterprise AI, data, automation, and emerging technology strategy. Owns data architecture, master data governance, data quality, privacy controls, AI governance, self-service analytics, automation standards, tooling, budgets, vendors, and a global team. Builds a data and AI center of excellence, establishes policies and training, delivers automation use cases, and partners with security, legal, compliance, architecture, and business leaders to scale responsible technology adoption.