Top AI Jobs in Boston, MA

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Lead a team of developers in creating cloud-based solutions using modern technologies, while mentoring peers and collaborating with product managers.

Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.

This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

Manage a team of engineers developing AI-driven features, ensure adherence to best practices, and foster a culture of innovation and learning.

The role involves designing and optimizing large-scale multimodal AI models, conducting applied research, and collaborating with cross-functional teams to deliver impactful member value at WHOOP.

The Research Engineer will design and conduct experiments at the intersection of manufacturing and AI, developing workflows and integrated systems to enhance manufacturing processes and technologies.

The Regional Sales Manager leads a team to exceed revenue goals, develop strategic market plans, manage customer relationships, and foster partnerships in a collaborative environment.

Lead product strategy and development for AI-native solutions, focusing on user data sovereignty and enterprise integration. Drive market expansion and feature adoption with innovative AI tools and team leadership.

The Global AI-Enhanced Quality Manager will lead the QA strategy, modernize practices using AI, and ensure high standards for consumer experiences internationally.

As a Senior Lead AI Engineer, you will design, develop, and deploy AI software while partnering with cross-functional teams to enhance customer interactions and business operations at Capital One.

As a Senior Software Engineer, you will design AI-driven solutions to automate marketing strategies, collaborate with a team, and mentor junior engineers.

As a Software Engineer II, you'll develop AI-powered marketing strategies, ensuring quality and low latency outputs while mentoring junior team members.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

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

The Senior Analyst will implement AI and automation technologies in supply chain operations, enhance efficiency, and ensure compliance while collaborating with cross-functional teams.

The Head of Application Development leads software engineering and application development across all business areas. Responsibilities include strategic planning, team development, performance management, ensuring delivery of quality software, and managing relationships with stakeholders and vendors.

Manage litigation strategies and oversee complex disputes across jurisdictions, advising senior leaders and coordinating with outside counsel while implementing technology for efficiency.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

The VP of Product (AI) will lead the AI product strategy, transforming health engagement through innovative AI solutions while managing cross-functional teams to deliver measurable outcomes.

As the Engineering Manager for the Conversational AI Platform, you'll lead a fullstack team to deliver customer-facing features, define technical direction, ensure collaboration across teams, and mentor engineers to foster a high-performance culture.

The Sr. Lead AI Engineer will design scalable AI services, lead technical projects, improve architectures, mentor engineers, and ensure quality in AI systems.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging AI technologies, and pushing research developments into real-world applications.