Top AI Jobs in Boston, MA

The Clinical Product Specialist at InterSystems influences product direction and design, collaborates with teams, engages customers, and ensures EHR solutions meet healthcare needs.

Drive complex cross-team initiatives in Claims Technology, manage project risks, improve SDLC practices, and enhance stakeholder communication.

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.

As an ISSE, you'll ensure compliance in cybersecurity, support RMF documentation, manage configuration changes, and apply security controls for classified programs.

The role involves sourcing, structuring, and negotiating business deals in the life sciences industry to fuel company growth.

The role involves managing product management for AI/ML capabilities, focusing on customer experience, innovation, and leading cross-functional teams.

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

The Senior Counsel will support the Consumer Acquisition & Engagement team, providing legal guidance on privacy, AI, and compliance with global privacy laws. Responsibilities include advising on product features, drafting agreements, and educating stakeholders on legal developments.

The Principal Product Manager will own the product lifecycle, engaging customers and teams to deliver an AI-powered security operations platform, focusing on features that enhance SOC efficiency.

The VP of Product (AI) will lead the AI product strategy, transforming health engagement through innovative AI solutions while managing cross-functional teams to deliver measurable outcomes.

As a Senior Software Engineer at WHOOP, you will develop backend features, collaborate with teams, mentor junior engineers, and enhance member-facing AI-driven tools.

The Vice President of AI will lead AI strategy and collaboration tools, drive business value through AI integration, and optimize technology investments while ensuring data governance and ethical practices.

The role involves overseeing AI product development, leading a team, making architecture decisions, and driving technical innovation in AI solutions.

As a Senior Lead AI Engineer, you'll develop scalable AI solutions, collaborate with cross-functional teams, and optimize large scale AI systems for banking. You'll leverage technologies such as AWS and PyTorch to enhance customer interactions.

Lead a team to develop generative AI solutions, collaborating with cross-functional teams and driving innovation from ideation to deployment.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

Conduct research on fleet intelligence for robots, develop algorithms, run experiments, analyze results, and prepare publications.

The Vice President/Head of AI will define and execute the AI strategy, oversee R&D for AI/ML models, integrate AI capabilities across products, and lead a high-performing AI team, ensuring ethical standards and compliance.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

Lead projects in AI and data science by managing timelines, scope, and team collaboration. Ensure stakeholder alignment and drive project execution.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

Lead engineering efforts in transitioning a SaaS platform to Native AI, manage teams, drive AI product development, and promote a culture of innovation.

The AI Architect will develop AI architecture strategies, frameworks, and governance to enhance MassMutual's digital capabilities, collaborating with various stakeholders for implementation.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Design and implement Generative AI strategies across the Investments organization, prototyping solutions, collaborating with stakeholders, and mentoring team members.