Top AI Jobs in Boston, MA

Collaborate within an Agile team to build data products, gather requirements, analyze data, and deliver high-quality solutions to improve business processes.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

Lead the development of AI systems, collaborating with cross-functional teams to create AI-powered products and optimize AI technologies for performance and scalability.

Lead AI-driven analysis bridging unstructured customer feedback and structured data to surface insights, drive retention, improve Care operations, build analytical playbooks, and influence senior leadership.

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

The Senior Scientist will develop algorithms and tools for drug R&D using applied machine learning and generative AI, working closely with various teams and stakeholders.

Lead the development of multimodal foundation models for health intelligence at WHOOP, guiding technical execution and aligning with company goals.

As a Lead AI Engineer, you will design, develop, and scale backend and ML systems, mentor engineers, and collaborate to create predictive ML solutions.

As a Senior AI Engineer at Klaviyo, you will design and build scalable backend systems and AI solutions, collaborating with product managers and engineers to enhance AI technologies for optimizing customer experiences.

As Associate Director of Physical AI, oversee and lead a team in developing humanoid robotics capabilities, ensuring technical agendas align with operational outcomes while managing cross-functional projects and initiatives.

The Head of Secured Financing IT leads technology strategies for the Secured Financing business, oversees teams, ensures compliance, and drives innovation and risk management.

The Senior Lead will drive go-to-market execution for AI and core product features, collaborating with various teams to optimize launches and improve user engagement.

As a Solution Consultant, you will bridge pharmacovigilance challenges with Veeva's solutions, showcase value, build relationships, and innovate processes in the Life Sciences industry.

As a Solution Consultant, you will help Life Sciences companies implement Veeva's Vault Safety platform, driving innovation and streamlining pharmacovigilance processes.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

Develop AI-ready data architecture for In-Vivo biology labs by leveraging data platforms, integrating datasets, and collaborating with machine learning experts. Engage in data analysis, visualization, and external collaborations to enhance drug discovery.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

The AI Data Engineer will develop an AI-ready data architecture for biologics labs, create data products, and ensure effective data integration and analysis for drug discovery.

As an Advisory Solution Consultant, you will engage with customers to create AI solutions, conduct workshops, and design proofs of concept. You will work in a collaborative environment and apply your technical knowledge to solve client challenges effectively.

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

The Lead Director will develop and execute AI strategies to optimize CVS Specialty Pharmacy operations, lead a team, and collaborate across functions.

As a Principal Data Analyst, you'll leverage machine learning and AI to improve outcomes, manage large data sets, and guide analytics modelers for effective data solutions.

Design and implement user-facing interactions for AI products, collaborating with PMs and Designers, and integrating agentic workflows into MedTech software solutions.

The role involves leading AI solutions development, optimizing AI systems, and collaborating with cross-functional teams to enhance customer interactions at Capital One.