Top AI Jobs in Boston, MA

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.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

As a Senior Associate in Data and Analytics Engineering, you will develop AI solutions, analyze complex problems, mentor team members, and build client relationships.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

Lead the creation of innovative AI solutions for healthcare systems, serve as a trusted advisor, foster collaboration, and drive operational excellence while managing complex challenges in healthcare AI.

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

Lead the AI strategy and vision for Avigilon products, defining and architecting AI-enabled user experiences, and collaborating across teams to drive consistency and performance in AI capabilities.

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

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.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

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.

The Applied Researcher I will partner with cross-functional teams to develop AI-powered products, conduct applied research, and build AI foundation models using emerging technologies.

Lead research at Galois by developing externally funded programs in Formal Methods, collaborating with teams, mentoring staff, and engaging with clients.

The Head of Data Science & AI Engineering leads Ipsen's technical strategy in advanced analytics and AI, overseeing data products, mentoring teams, and ensuring compliance in a dynamic biopharmaceutical environment.

The Client Partner will manage strategic relationships with Life Sciences companies, focusing on commercial strategies, P&L management, and driving growth in analytics, AI, and cloud platforms.

The Account Director will manage client relationships, develop strategies, drive account planning, ensure client success, and generate revenue forecasts in the life sciences sector.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The AI Application Engineer will design and deploy AI solutions, integrate them into cloud services, and collaborate with teams to enhance operational workflows.

Lead AI Engineer to develop and optimize AI systems, focusing on LLMs and AI services. Collaborate with cross-functional teams to deliver AI-driven products and contribute to the technical roadmap.

Design and build AI-powered workflows and systems to transform operations across the company by partnering with stakeholders and shipping production-quality software from architecture to deployment.

The Senior Data Analytics Reporting Analyst collaborates with teams to enhance analytical capabilities, manage investment data, develop models, and improve reporting and dashboards for investment oversight and decision-making.

The Sr Manager in AI Product Management drives the identification and adoption of AI solutions across business processes, partnering with various teams to improve workflows and ensure efficient automation while maintaining compliance and governance.

The Principal Solution Architect drives technical integration solutions between Dynatrace and ServiceNow, collaborating with various teams to optimize features and oversee implementation.

The Engineering Manager will lead a full-stack engineering team, focusing on technical guidance and mentorship while improving software development practices through Agile methodologies. Responsibilities include managing team performance, collaborating with product managers, and synthesizing customer feedback.