Top AI Jobs in Boston, MA

The AI Engineer will develop and support AI software components, partner across teams, and optimize AI models and systems for better performance. Candidates should have a strong foundation in programming and AI technologies.

This role involves designing and building AI software components, collaborating with cross-functional teams to deliver AI products, and contributing to the technical vision of foundational AI systems at Capital One.

Lead the development and deployment of foundation models integrating diverse data sources to enhance health insights and member experiences. Oversee AI strategy, team management, budget optimization, and ethical AI practices.

The role involves leading GenAI/ML projects, developing ML models, mentoring engineers, and influencing product direction in a collaborative environment.

Lead a team building production AI/ML solutions, manage delivery from architecture to deployment, and ensure compliance and security standards.

The AI Enterprise Architect will design and evolve the technology landscape focusing on AI, cloud platforms, and integration, advising senior leadership for alignment with business strategies.

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.

The Lead Product Manager, Data and AI at Robin will define AI strategies, oversee product roadmaps, lead cross-functional teams, and translate technical capabilities into user-friendly product features.

As an Applied Researcher I, you'll leverage AI and machine learning to develop innovative banking solutions, engaging with cross-functional teams to deliver impactful AI products while conducting high-impact applied research.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

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

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.

As Director of Business Operations & Strategy, you'll lead strategies for scaling insurance business, improve user experience, and manage teams.

The Head of Marketplace Automation & Growth will scale Jerry's core insurance business, reporting to the VP and overseeing systems, strategy, and execution of the quoting engine and automation infrastructure.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

The Applied AI Engineer will design and develop AI-integrated solutions, backend systems, and APIs while collaborating with cross-functional teams and focusing on scalable architecture and innovation.

The CX Technology Lead will transform SharkNinja's service delivery through self-service, AI, and operational optimization to enhance user experiences and drive efficiency.

The Senior Business Analyst will partner with AI Product teams to analyze data, develop strategies, and improve member experiences through AI-driven insights and frameworks.

The SEO/Organic Traffic Manager will grow CarGurus' organic traffic and conversions, focusing on AI search and social engines, while leading cross-functional collaborations and strategy development.

The role involves developing AI-focused IDE experiences, integrating LLM tools, and enhancing developer productivity through innovative UI and backend systems.

Manage a team of engineers developing AI-driven features, ensure adherence to best practices, and foster a culture of innovation and learning.

The Applied Baseball Scientist will utilize biomechanics and performance science data to enhance player development, optimize training interventions, and collaborate with coaches for actionable feedback.