Top AI Jobs in Boston, MA

The Business Development Specialist at MORSE Corp will identify and pursue new business opportunities within the DoD and Intelligence Community, collaborate with cross-functional teams, and develop proposals while ensuring effective stakeholder engagement.

Drive complex cross-team initiatives in Claims Technology, manage project risks, improve SDLC practices, and enhance stakeholder communication.

The Corporate Counsel will provide legal support for SaaS agreements, manage disputes, negotiate contracts, and ensure compliance within the insurance sector.

The role involves managing product management for AI/ML capabilities, focusing on customer experience, innovation, and leading cross-functional teams.

Design, develop, and deploy AI applications using enterprise APIs, LLMs, and agent frameworks. Integrate models into existing systems, build large-scale Java/Python applications on OpenShift, implement prompt engineering, fine-tuning and RAG, troubleshoot models, and mentor team members.

The VP of Business Development will drive strategic partnerships and develop AI solutions, manage partnerships, oversee go-to-market strategies, and train sales teams.

The Vice President of AI will lead AI strategy and collaboration tools, drive business value through AI integration, and optimize technology investments while ensuring data governance and ethical practices.

The Senior Counsel will support the Consumer Acquisition & Engagement team, providing legal guidance on privacy, AI, and compliance with global privacy laws. Responsibilities include advising on product features, drafting agreements, and educating stakeholders on legal developments.

The Senior Counsel will oversee privacy compliance, lead developments in identity solutions, provide legal advice on data protection laws, and engage with regulatory changes.

As a Junior Software Engineer, work with a team to design, build, and maintain AI services for software development, focusing on back-end and front-end integration, code quality, and user experience.

As a Senior Full Stack Engineer, you will drive AI adoption, build full-stack platforms, and automate engineering processes to enhance productivity across teams.

The role involves developing, deploying, and supporting AI software systems, collaborating with cross-functional teams, and optimizing AI solutions for Capital One.

As an Applied Researcher I, you'll leverage AI and machine learning to develop innovative banking solutions, engaging with cross-functional teams to deliver impactful AI products while conducting high-impact applied research.

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.

Design and scale backend services and developer tools for WHOOP's Generative AI platform using Java, AWS, and PostgreSQL; build APIs, observability, and abstractions to enable safe, scalable LLM-powered features; collaborate cross-functionally and mentor junior engineers.

Lead strategy and delivery of an AI-native internal platform that unifies tools, data, and services. Define roadmap, partner with engineering/AI/data teams, operationalize safety and evaluation, deploy compliance automation, measure platform success, and drive cross-functional alignment to scale AI use cases across the company.

Design, build, and own scalable microservices and secure APIs for blockchain and payments systems. Improve and maintain production infrastructure, integrate with banks/third-party services, lead architecture and system design, and ensure high code quality and testing standards.

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 Principal Product Manager will own the product lifecycle, engaging customers and teams to deliver an AI-powered security operations platform, focusing on features that enhance SOC efficiency.

The Principal Solution Architect drives technical integration solutions between Dynatrace and ServiceNow, collaborating with various teams to optimize features and oversee implementation.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

Build and maintain automation and AI-driven quality engineering solutions in a hybrid-cloud environment. Design and develop automated tests, collaborate with cross-functional teams to shift quality left, use AI tools to generate high-coverage test plans, assist with manual testing as needed, and participate in release activities while improving automation frameworks and CI/CD pipelines.

The Business Analyst II will partner with the AI Product team to analyze data, drive product decisions, and enhance AI-driven member experiences through insights and recommendations.

The Senior Software Engineer will lead technical areas, drive projects, and build AI/ML features using Python and Go while ensuring user-friendly experiences.

The Senior Program Manager will lead Foundational AI projects, translating complex strategies into operational plans and ensuring project alignment across technical and business teams.