Artificial Intelligence Jobs in Cambridge, MA

The Principal Research Scientist will lead research on resilient AI, manage projects, publish findings, secure grants, and supervise staff and students.

Faculty will oversee and teach PharmD practice labs, develop simulation-based and interprofessional education, design assessments, manage lab operations, provide didactic teaching, participate in service, and engage in scholarship of teaching and learning.

Responsible for leading design projects, translating AI insights into intuitive interfaces, conducting user research, and collaborating with cross-functional teams to deliver innovative health-focused designs.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

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 role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

Develop, validate, and interpret ML models and end-to-end pipelines to predict oral drug absorption using large, heterogeneous biopharmaceutics and clinical datasets. Emphasize model explainability, uncertainty quantification, and mechanistic/physics-informed approaches, translate outputs into actionable insights for drug development teams, and communicate results via reports, presentations, and publications while contributing to AI-enabled predictive platforms.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

Design and build agentic AI features by integrating LLM APIs into product workflows. Write well-tested TypeScript across the stack, implement tool invocation and multi-step reasoning flows, collaborate with Product and Design, and improve reliability and performance of agentic systems while documenting findings.

Lead operational design and engineering for the data platform: own Snowflake and dbt administration, automate platform operations and CI/CD, monitor platform health and observability, enforce governance and access, optimize performance and costs, and develop AI/agent integrations to enable governed data access for business users.

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Lead design and build of scalable full‑stack AI enablement platforms and tools to accelerate engineering workflows. Champion experimentation, automation (code generation, testing, deployment), best practices, and cross‑team collaboration while mentoring engineers and delivering production‑ready solutions.

The role involves teaching, strategic leadership, and administrative oversight for the MS in Health Informatics Program, ensuring curriculum relevance and program success across multiple campuses.

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.

The Director will lead operational transformations in Life Sciences, leveraging automation, AI, and data-driven strategies to enhance client engagements and shape business strategies. They will develop client relationships, guide complex consulting projects, and support team growth and expertise in Intelligent Operations.

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.

As a Senior Associate, you'll leverage Dynamics 365 applications to craft solutions, analyze complex problems, mentor team members, and manage project tasks tirelessly while strengthening client relationships.

The role involves leveraging Microsoft Dynamics technologies to solve client business issues, managing projects, and delivering solutions in a consulting capacity.

The AI Governance Manager at PwC will lead teams in assessing governance and risk frameworks, mentor junior staff, and enhance project delivery through innovative methodologies. The role involves maintaining compliance standards and building client relationships using advanced analytics and technology resources.

Lead the design and implementation of Microsoft Dynamics 365 solutions, mentor team members, manage projects, and enhance client relationships to achieve operational efficiency.

The ERP AI Engineer - Manager at PwC leads teams in AI/ML engineering, manages client relationships, and designs AI solutions, all while mentoring team members and addressing complex business challenges.

As a Senior Manager in Cyber Strategy, Risk & Compliance, you will lead teams and projects focused on AI-enabled cybersecurity solutions, providing strategic guidance and managing risks for clients.

As an AI Governance Senior Associate, you will develop frameworks, manage projects related to governance and risk, and communicate technical concepts to stakeholders.