Top AI Ethics Jobs in Boston, MA

The role involves implementing AI safety strategies, building evaluation frameworks, and developing safeguards against scientific risks from AI models. Candidates must possess strong technical knowledge and communicate complex concepts effectively.

The Vice President of AI will define and lead the AI strategy at Tempo, integrating AI capabilities into products, building teams, and ensuring ethical use of AI while driving business outcomes and customer value.

SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.

SoftSnow seeks an AI Auditor / Translator to audit AI systems for compliance and translate outputs into accessible language for stakeholders. Responsibilities include performing audits, preparing reports, and facilitating understanding of AI workflows for non-technical teams.

The role supports AI governance and compliance activities, coordinates risk assessments, provides compliance documentation, and ensures alignment with regulations.

The Staff AI Engineer will design AI-powered systems for People Technology at Grafana Labs, improving workflows and data insights across teams while ensuring responsible AI practices and data governance.

Design and build clinical-grade automated evaluation pipelines (LLM-as-judge + human review), define benchmarks, run rigorous experiments, partner with engineering to implement CI gates for accuracy, factuality, and safety, and publish findings to improve model robustness and reduce hallucinations.

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

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.