Artificial Intelligence Jobs in Cambridge, MA

Seeking a Senior AI Engineer to develop AI solutions, oversee project delivery, and collaborate on system architecture. Requires 5+ years with Python and AI technologies.

Lead process automation and AI initiatives within the Commercial CGT DTE team by assessing workflows, implementing improvements, and managing change.

The Senior Manager of Software Development leads the engineering team in designing and scaling merchant services, driving AI development while collaborating with product and commercial partners.

Lead UX and product design for a next-generation surgical data and AI platform. Drive user research, define multimodal UX paradigms, build design systems, lead a team of designers, and partner with product, engineering, data science, and clinical stakeholders to deliver compliant, secure, enterprise-scale AI-enabled solutions.

As Revenue Operations Manager, you will drive analytics and operations, enhance workflows, leverage AI tools, and improve revenue processes for the Travel Commercial organization.

The Director & Group Head of Applied AI will lead AI strategy in drug discovery, collaborating with teams to deploy machine learning solutions and drive innovation in biomedical research.

Lead executive-facing business origination and account strategy for AI, data, and technology advisory services. Drive prospecting, pursue multi-phase transformation deals, architect solutions, mobilize cross-functional teams, negotiate pricing, and build C-suite relationships to deliver measurable outcomes and scale advisory programs.

Lead enterprise AI architecture and platform strategy, designing secure, scalable Generative AI/ML solutions across multi-cloud and hybrid environments. Define reference architectures, governance, observability, and production readiness; run POCs, enable model serving and orchestration, ensure Responsible AI and compliance, and drive architecture adoption with cross-functional teams.

Lead technical strategy and execution for Merlin's AI Core platform across perception, sensor fusion, planning, and control. Build and manage a multidisciplinary engineering organization, own architecture from data pipelines to real-time onboard inference, enforce aviation-grade safety and quality, partner with certification and systems teams, recruit senior talent, and translate research into product opportunities.

Lead the implementation of advanced NLP solutions, develop AI/ML applications, oversee model training and evaluation, and collaborate across teams.

The Senior AI Product Owner will lead AI engineering teams, oversee solution design, mentor engineers, ensure code quality, and assess new technologies in AI initiatives.

The Innovations and AI Solutions Engineer develops and optimizes AI solutions, manages data flows, implements machine learning models, and collaborates with users on data analysis and reporting.

The Senior AI Automation Engineer will lead the design, development, and delivery of scalable AI automation solutions and data infrastructure, aiming to transform HackerOne into an AI-first organization.

Lead the development of AI applications and data products to enhance Immunology R&D. Manage a technical team and collaborate across departments.

Develop and deploy computer vision capabilities, building pipelines for image processing, analysis, and integration with multimodal AI systems. Requires collaboration with Product and Engineering teams.

The role involves architecting and scaling Generative AI capabilities, automating workflows, and ensuring secure AI integration in products, with a focus on safety and efficiency.

The Investment AI Engineer will design, build, and operate AI workflows for investment processes, collaborating with researchers and portfolio managers to improve automation and efficiency.

The Senior Manager of AI Inference at Red Hat leads engineering teams to innovate in AI and ML, focusing on model performance and MLOps software development. Responsibilities include setting vision, mentoring team members, and engaging in open-source communities.

As a Senior Principal AI Engineer, you will design and enhance data and AI platforms, create AI starter kits, deliver reference implementations, and advocate for cloud-first development approaches to support scalable AI adoption across Vertex Pharmaceuticals.

Design, develop, and maintain generative AI and cloud-based AI solutions using Microsoft Azure and Power Platform tools. Collaborate with cross-functional teams to gather requirements, build scalable AI applications, deploy and manage models with Azure Machine Learning, test/debug, document designs, and provide training and user support.

Lead system-level architecture and detailed design of ultra-low-power analog and digital AI accelerators. Translate product requirements into block-level specs, explore novel intelligence representations, develop system models with Synopsys Platform Architect, inform RTL and verification, and collaborate across compute IP, firmware, physical design, and partners while providing technical leadership and mentorship.

The ATO Process Engineer oversees the enterprise ATO process, ensuring operational readiness and compliance, while driving continuous improvement in governance and workflows.

As a Principal Research Engineer, you will develop scalable data pipelines and generative AI tools for the AEC industry, collaborating across teams to enhance data for machine learning applications.

The Senior Scientist in AI Applications will develop AI/ML solutions in oncology, focusing on multimodal reasoning and agent architectures to enhance drug discovery and clinical trials.

Develop and deploy computer vision capabilities, implement image analytics, support multimodal AI workflows, and optimize performance in a mission-driven environment.