Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

The Staff AI Engineer will design and build AI systems for healthcare, focusing on agentic behavior, coordination, and workflow execution, while mentoring engineers and ensuring system reliability.

The Senior AI Engineer will design and build architectures for AI systems, translate healthcare processes into AI solutions, and ensure operational reliability while partnering with domain experts.

As a Principal AI Engineer, you'll design AI systems for healthcare, collaborate with cross-functional teams, and enhance care delivery workflows.

The Staff AI Engineer will analyze AI quality, implement improvements, manage projects, collaborate with teams, and shape AI capabilities in a remote-first environment.

Lead a technical team to drive sales strategy for Cloudflare's Developer Platform, mentor architects, enhance product offerings, and collaborate with executives and departments.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

The Senior AI Engineer role involves deploying AI solutions to extract structured data from medical charts, improving efficiency and ensuring compliance. Responsibilities include developing AI extraction pipelines, maintaining AI model production, and collaborating with cross-functional teams to integrate AI solutions into healthcare systems.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

The AI Developer role involves designing AI solutions for healthcare clients, focusing on transformation programs, AI integration, and development of CoEs. Responsibilities include client collaboration, AI/ML solution implementation, and leadership in project teams.

The AI Solutions Engineer will develop AI agents and workflows to improve Sales performance, guiding strategies and collaborating across teams to implement AI solutions.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Senior Software Engineer for Support AI will develop voice and chat systems for customer support, driving projects from concept to production, while collaborating across teams and improving AI capabilities through integration and data insights.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

The Senior AI Engineer will design and implement personalized agent workflows, memory systems, and evaluate AI agents while collaborating with platform engineering on a proprietary platform.

Lead AI agentic deployments and design tailored solutions using Elastic technologies. Oversee technical delivery, mentor junior engineers, and ensure successful client partnerships in AI implementations.

The Sr. Staff AI Engineer designs and delivers scalable AI solutions, collaborates on architecture, ensures compliance, and mentors teams.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves building AI infrastructure to support healthcare applications, mentoring engineers, defining technical direction, and ensuring system reliability and scalability in production environments.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

Lead the design and development of advanced AI agents for cybersecurity, focusing on real-time decision-making and adaptive threat responses, while mentoring teams and collaborating across functions.

The Senior AI Engineer will enhance Gurobi Optimization's platform through AI and machine learning, focusing on integration, testing, and collaboration across teams.

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

The AI Engineer will develop AI-enabled features, design scalable application capabilities, integrate coaching insights, build data pipelines, and mentor the team in AI best practices.