Top AI Ethics Jobs in Los Angeles, CA

Lead AI safety strategies for autonomous vehicles, ensuring compliance with safety standards, mentoring teams, and guiding technical projects in AI/ML development for safety-critical applications.

The AI Change Senior Manager drives enterprise AI change strategy through coherent activation plans, monitoring adoption, integrating cross-functional inputs, and enabling leadership engagement. The role focuses on preventing fragmentation and ensuring aligned initiatives to enhance organizational change in AI and data efforts.

The AI Adoption & Change Manager drives AI transformation within the IT organization, ensuring user adoption, training, communication, and integration of AI tools into workflows. They build change management plans, conduct assessments, facilitate training, and measure adoption metrics to improve AI initiatives.

The AI Quality Associate evaluates AI outputs for quality, develops benchmarks and rubrics, validates workflows, and collaborates with finance experts to ensure high-quality AI-assisted outputs.

The Senior Manager, Product & AI Policy leads policy development for AI features, collaborating with teams to ensure policies support business objectives and innovation.

The Senior Vice President of AI and Transformation will develop and deliver strategies for integrating AI, analytics, and automation into processes, ensuring they meet regulatory standards. This role involves partnership with leadership to enhance service quality and governance principles for responsible tech use.

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.

The Enterprise Architect for Data & AI will shape the architecture for the SaaS platform, ensuring efficient data practices and responsible AI governance, while collaborating with various teams to align technology with business goals.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.

The Senior Technical Director for AI UX at Rocket Software will define the AI-driven experience across products, focusing on collaborative and responsible AI integration in enterprise workflows. They will establish architectural frameworks, mentor engineers, and validate AI models with customers.