Top AI Jobs in Boston, MA

Two-year, early-talent R&D rotational program with four six-month rotations across pharmaceutical R&D disciplines. Associates complete lab and non-lab projects (assay development, chemistry, single-cell/spatial transcriptomics, clinical trial design, AI/computational biology, regulatory and data analytics), receive mentorship, and develop technical and business skills toward a pharmaceutical career.

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The Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

The Marketing Specialist will enhance Amazon marketing efforts, manage media strategies, optimize campaigns, and collaborate cross-functionally to drive business growth. Key responsibilities include SEO optimization, budget management, and integrating innovative technologies to improve ad performance and user experience.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

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.

Serve as a clinical product specialist bridging real-world clinical practice and product functionality for InterSystems EHR. Influence product roadmaps, define workflows and requirements, collaborate with cross-functional teams, engage customers to translate clinical needs into product features, and represent the product externally.

Lead technical design and delivery of production AI/ML and GenAI solutions (RAG, LLMs, agents). Build, tune, deploy, and monitor models and APIs, own MLOps practices, operate cloud AI workloads, ensure software quality and responsible AI, and partner with cross-functional stakeholders while mentoring engineers.

Lead design and build of an AWS-only AI Operations platform: hosting, IaC, registries (Accountability, Agent, Tool), identity/authorization patterns, developer DX, observability, and security hooks for agentic systems. Evangelize internally and partner on compliance and security integrations.

Build internal AI operations infrastructure and tools (knowledge systems, agent-builder UIs, dashboards, catalogs). Design data flows and decide centralization vs decentralization. Create discoverable, governable surfaces for teams to compose and trust agents. Run a portfolio of small internal products, prioritize requests, and ship production code while partnering with a technical infrastructure counterpart.

MBA intern supporting AI Ops Transformation initiatives: collaborate with cross-functional teams, analyze operational workflows and data, help identify AI-driven efficiency opportunities, assist project management and strategy, and prepare recommendations to scale AI tooling and processes.

Design and build AI-powered workflows and systems to transform operations across the company by partnering with stakeholders and shipping production-quality software from architecture to deployment.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

The co-op involves owning and delivering AI projects, conducting data analysis, building workflows, and communicating insights to stakeholders over a 6-month period.

Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

Responsible for architecting the sales data ecosystem, ensuring data integrity, governance, and providing real-time insights for forecasting and revenue decision-making.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

The AI Product Manager oversees AI initiatives, translating business goals into actionable plans, collaborating on product delivery, and ensuring data integrity and compliance.

The Applied AI & Analytics Associate will conduct high-impact analytical work across functions, utilizing AI and data to drive business decisions and improvements, while collaborating with senior stakeholders and building analytical tools and models.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.