Top AI Jobs in Boston, MA

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

The Software Engineer II (Frontend) will design and develop user experiences for WHOOP's digital products, focusing on responsive web applications and collaboration across teams.

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

Develop regulatory strategies for SaMD, AI/ML-enabled and wearable health products. Advise cross-functional teams on regulatory implications, support FDA and EU submissions, engage authorities, monitor evolving guidance, and shape scalable compliance approaches for novel digital health technologies.

As a Senior Software Engineer, you'll build scalable systems, collaborate with teams to deliver software features, and ensure high-quality applications.

The Sr. Product Manager will drive the product vision, strategy, and execution for AI-powered products, enhancing insurance communications and improving customer experiences.

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 Sr. Distinguished AI Engineer at Capital One will lead the development and deployment of AI systems and collaborate with cross-functional teams to enhance customer experiences through AI solutions. Responsibilities include designing and supporting AI components and optimizing production AI systems.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead and scale AI engineering teams to design, build, deploy, and support foundational AI systems (LLM training/inference, vector search, guardrails, evaluation, observability). Drive technical vision, build-vs-buy decisions across OSS and SaaS, optimize LLM performance, and attract and develop top AI engineering talent.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead product management and program delivery for enterprise software implementations. Manage product lifecycle, stakeholder relationships, reporting, risk, and financial tracking; mentor juniors and align project objectives with strategic goals.

Use advanced analytics, statistical techniques, and machine learning to extract insights from large datasets. Design data solutions and pipelines, build predictive models (R, MATLAB), and apply TensorFlow and Scikit-Learn for deep learning and NLP. Collaborate with teams and clients, deliver quality work, and adhere to firm standards.

The Marketing Operations & Transformation Consultant drives operational excellence by improving processes, implementing AI-enabled tools, and leading strategic marketing initiatives across departments.

The AI Engineer will develop production-grade AI tools, bridge business needs with technical solutions, and mentor other engineers while ensuring scalability and security in AI integration.

Build and lead development of Klaviyo's conversational AI platform: native chat surface, agent orchestrator, and agentic UI. Design scalable, reliable systems, ship high-quality code, mentor engineers, drive technical decisions, and improve AI-powered customer experiences.

The Senior Data Scientist will design and implement AI-enabled products using clinical trial data, mentor team members, and collaborate with stakeholders.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

The AI Business Systems Engineer applies AI solutions across the company, integrating systems, mapping processes, and designing structured workflows to improve efficiency and decision-making.

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 Director of Data & AI Partnerships is responsible for developing account strategies, cultivating partnerships with pharma/biotech clients, and driving revenue goals while ensuring delivery on strategic objectives.

The role involves architecting and launching AI systems, designing software components, optimizing performance, and collaborating with cross-functional teams to enhance customer experiences at Capital One.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.