Top AI Jobs in Boston, MA

The Analyst will implement product initiatives, conduct research, execute coding tasks, perform testing, and ensure clarity in project documentation while driving business value with an Agile mindset.

The role involves engaging in data science and machine learning initiatives, building predictive models, analyzing large datasets, and collaborating on innovative solutions for clients.

The Director of Enterprise Applications leads strategic direction and implementation of enterprise solutions, driving innovation and operational efficiency across teams.

As Counsel for Regulatory and Privacy, you will guide product and operations teams on healthcare regulations and privacy laws, ensuring compliance while enabling innovation.

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The System Support Analyst will implement product initiatives, collaborate with agile teams, drive strategic recommendations, and ensure quality in product design and performance.

The Business Development Specialist at MORSE Corp will identify and pursue new business opportunities within the DoD and Intelligence Community, collaborate with cross-functional teams, and develop proposals while ensuring effective stakeholder engagement.

The GRC Analyst will manage third-party risk assessments, support SOC2 audits, develop GRC policies, and promote security awareness.

Lead and optimize the financial systems architecture, drive automation, enhance business intelligence, and develop a high-performing team in financial technology.

As a Product Manager, you will lead generative AI initiatives, collaborate with cross-functional teams, and manage product development from ideation to launch.

The Senior Principal AI Scientist leads AI initiatives, leveraging deep machine learning expertise, collaborating with teams, and driving innovation in Experience Management at Qualtrics.

Lead and mentor Detection Engineers to enhance detection library, improve SOC capabilities, and ensure operational stability.

Design and deploy machine learning models for drug development, collaborate with cross-functional teams, and innovate AI solutions to improve clinical outcomes.

The Senior Lead AI Engineer will design, develop, and deploy AI systems, focusing on LLM customization and optimization while leading cross-functional teams.

As a Senior AI Engineer, you'll develop AI software components, optimize performance of AI systems, and contribute to foundational AI technologies at Capital One.

Lead SharkNinja's machine learning strategy and operations, manage MLOps teams, oversee ML engineering, and ensure systems align with enterprise goals while managing relationships with vendors.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

The Alliance Manager will lead AI-driven cardiometabolic drug discovery collaborations, manage partnerships, and oversee scientific aspects, focusing on innovation and strategic conversations with stakeholders.

As a Software Engineer II focused on AI Tooling, you'll develop AI systems and tools, build APIs, and integrate models. Collaborate with cross-functional teams to enhance productivity through innovative applications.

Lead the creation and scaling of an AI-first marketing function, focusing on integrating technology and growth systems to enhance marketing operations.

The AI Product Manager oversees AI initiatives, translating business goals into actionable plans, collaborating on product delivery, and ensuring data integrity and compliance.

The Product Manager will lead the strategy for Developer Experience on the Enterprise AI Platform, focusing on AI capabilities and collaborating with technical teams to deliver scalable solutions.

The Lead Payments AI Software Engineer will develop AI applications, collaborate with teams, and maintain large-scale systems using advanced AI technologies, requiring significant experience in software engineering, AI, and relevant programming languages.

As a Lead Payments AI Software Engineer, you'll design, develop, and deploy AI applications using LLMs and various technologies, collaborate with enterprise teams, troubleshoot issues, and assist in advanced software development.

Develop and deploy AI applications using LLMs and agent frameworks. Collaborate with teams to integrate AI models and troubleshoot complex issues.