Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

The AI Engineer designs and deploys AI automation tools, partners with teams for workflow automation, and enhances operational efficiency using generative AI and data-driven decision support.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

As a Senior Delivery Acceleration AI Engineer, you will design and optimize AI-driven solutions for customer implementations, focusing on large language models and prompt engineering. You will collaborate with various teams to improve delivery efficiency and quality while ensuring AI solutions align with professional services workflows.

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

As a Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

Lead the design and implementation of AI/ML platforms at Optum, collaborating with various stakeholders to deliver scalable solutions that improve healthcare outcomes.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

This role leads delivery coordination and portfolio operations for MetLife's Composite AI team, ensuring commitments, managing risks, and developing teams across multiple platforms.

The Developer Relations Community Manager will engage AI developers, create technical content, manage community operations, and drive advocacy and adoption for Runpod's AI infrastructure platform.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

Develop AI solutions for marketing teams, integrating AI agents and workflows while coaching teams for self-sufficiency in AI use.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

The Lead Software QA Engineer will integrate quality into the AI-first engineering workflow, enhancing developer behavior towards reliability and efficiency. Responsibilities include building automated testing systems, defining production standards, collaborating with Sales and Product, and ensuring data integrity and usability.