Top AI Ethics Jobs in Austin, TX

Lead content and strategy for a 12+ event annual portfolio: design agendas, curate speakers and attendees, own pre-event framing and speaker engagement, produce written outputs, steward post-event continuity and community building, manage stakeholder relationships across AI safety, and collaborate with internal teams to translate event visions into participant-facing programs and systems.

Lead design and delivery of enterprise analytics and AI governance frameworks, operating models, CoEs, and maturity assessments. Advise on Responsible AI, generative AI governance, adoption strategies, change management, and stakeholder alignment. Create reusable methodologies, run workshops, assess maturity, and mentor consultants to scale trusted analytics, automation, and AI across large organizations.

Provide first-line technology risk oversight for customized data platforms and AI/ML enablement. Identify, assess, document, and help mitigate technology, data, security, stability, third-party, and AI-related risks. Support RCSA, control reviews, issue management, AI use-case triage, stakeholder reporting, and remediation coordination across hybrid-cloud and on-prem environments.

Lead enterprise AI and innovation strategy for OrthoVirginia, defining governance, roadmaps, and responsible-AI standards. Identify, evaluate, pilot, and scale AI use cases across Epic, Workday, and Microsoft ecosystems; manage vendor relationships; oversee pilots, change management, team building, compliance (HIPAA), and executive reporting to deliver measurable business impact.

The Director of Artificial Intelligence will define, lead, and implement AI strategies, managing R&D, building teams, and ensuring ethical AI use to drive business outcomes.

Lead internal AI product strategy and operating model: set priorities for knowledge/context layers, reusable skills/agents, governance and trust, adoption and L&D strategy, partner with engineering, security, legal, and stakeholders to scale safe, company-wide AI practices and measure impact.

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.

Design HCI standards for Agentic AI products: create transparency and human-in-the-loop workflows, dynamic/generative and multi-modal interfaces, trust/error UX for hallucinations, prototype autonomous sequences with tools like Figma/Protopie, and organize dense information for auditability and oversight.

Own decision quality by evaluating AI-generated decisions, identifying reasoning failures, designing feedback and training loops, defining decision-quality metrics, and collaborating with Product, R&D, and Engineering to improve robustness, explainability, and drift detection.

Lead client-facing organizational change for AI and Workspace transformations: design change strategies, engage executives, build training and champion networks, run Gemini pilots, measure adoption, and sustain new behaviors across enterprises.