Top AI Jobs in Boston, MA

As an AI Data Strategist, you will use AI and ML to analyze customer feedback, providing insights for improving customer experience and retention. You'll collaborate with teams to bridge unstructured data with structured analyses, creating actionable strategies that drive business outcomes.

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

The SEO/Organic Traffic Manager will grow CarGurus' organic traffic and conversions, focusing on AI search and social engines, while leading cross-functional collaborations and strategy development.

The role involves developing cloud-based data platforms and AI tools to improve patient care, focusing on software design, integration, and collaboration across teams.

Lead development and execution of market access strategy for insulins, engaging payers, institutions, and channel customers. Drive pricing, contracting, HEOR/RWE alignment, vendor management, cross-functional collaboration, and AI-enabled payer engagement to secure formulary access and reimbursement.

The eGSM Lead drives innovation in regulatory submissions by optimizing processes through AI and automation, collaborating cross-functionally to enhance efficiency and quality. Responsibilities include strategic leadership, change management, and stakeholder engagement.

Lead design and scaling of automated test frameworks across UI, API, integration, and performance layers. Integrate AI-enabled test generation and monitoring, embed tests in CI/CD pipelines, ensure audit-ready documentation for GxP/21 CFR Part 11 compliance, and collaborate with Engineering, DevOps, and Quality to increase automation coverage and release confidence.

Own Klaviyo's AI product vision and 12–24 month roadmap; translate models and data into AI-native customer experiences; build AI product operating systems, evaluation frameworks, and experiment culture; partner with Engineering, Data, Design, and GTM; ensure responsible AI; and hire and develop a high-performing AI-focused PM team.

The Senior Lead AI Engineer will partner with cross-functional teams to develop AI-powered products, lead foundational AI system optimization, and deploy scalable AI solutions at Capital One.

Lead the design, development, and deployment of AI-driven products focusing on large language model optimization and integration. Collaborate with cross-functional teams to enhance Capital One's AI capabilities.

The Senior Full-Stack Engineer II will lead technical areas, build and scale AI applications, develop APIs and collaborate with cross-functional teams.

The Contracts Manager will oversee the contract lifecycle for university agreements, including drafting and negotiating contracts, ensuring compliance, and implementing process improvements. The role involves collaborating with stakeholders and leveraging technology to streamline contract management.

The position involves teaching, conducting research on AI and wearable devices related to human movement, and engaging in university service.

Lead and grow an engineering team to design, deploy, and operate scalable, compliant AI platform services (LLM integration, vector DBs, RAG). Own technical design, delivery, standards for model deployment and orchestration, and partner with product, data science, architecture, and security.

The AI Architect will develop AI architecture strategies, frameworks, and governance to enhance MassMutual's digital capabilities, collaborating with various stakeholders for implementation.

Lead strategy and execution for enterprise-scale AI models and infrastructure. Drive end-to-end AI feature delivery, define impact metrics, integrate MLOps and developer practices, build executive dashboards, align cross-functional teams, and scope emergent, ambiguous initiatives through early discovery and transition to product teams.

The Knowledge Enablement Specialist will shape AI knowledge consumption by optimizing content for AI support, analyzing trends, and driving frameworks for AI performance improvement.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

The role involves leading product management for AI/ML solutions, ensuring customer focus, technological innovation, and solving complex problems collaboratively.

Lead full-cycle technical recruiting for AI and software roles in Boston. Source, screen, and evaluate candidates, partner with hiring managers and leadership, manage offers, and continuously improve candidate experience and recruiting processes.

The Senior Analyst will develop and implement AI and automation technologies for supply chain planning, ensuring compliance and operational efficiency through collaboration and innovation.

The Senior Solutions Architect will design and implement cloud solutions focused on AI and ML, collaborating with strategic accounts to drive cloud adoption and success.

Lead and grow Tulip’s AI Process Engineers community by building relationships with frontline manufacturing practitioners, designing community and program growth strategies, gathering feedback to improve training and labs, hosting events and workshops, collaborating with marketing and product, creating content, and traveling regularly to promote and expand the program.

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 AI Enablement Engineer accelerates AI quality, speed, and consistency by implementing best practices, reusable components, and technical leadership in AI delivery across the company.