Top AI Jobs in Boston, MA

Lead multidisciplinary teams to design, develop, test, and analyze biotechnology solutions for health and national security; perform experimental and statistical characterization; drive technical marketing and proposal development; serve as primary technical contact for customers and partners.

The Senior Director/Vice President will oversee pricing strategies, reimbursement operations, patient support, commercial data strategy, and government affairs for digital therapeutics. They will lead brand launches and navigate complex policy environments to ensure product viability.

Own end-to-end software capitalization and related prepaids/accruals, prepare journal entries and reconciliations, support month-end close and audits, partner cross-functionally, analyze results, and drive process improvements using automation and AI.

Lead enterprise strategy and hands-on delivery of AI-enabled solutions across clinical development. Partner with clinical, biostatistics, data science, regulatory, and digital teams to design, validate, deploy, and govern AI/ML, generative and agentic AI, predictive analytics, and workflow automation to improve trial design, operations, regulatory readiness, and decision-making. Build cross-functional teams, engage regulators and external partners, and drive organizational adoption and governance.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead product strategy and execution for signals exploitation and tracking capabilities. Define roadmaps, shape backlogs with customers and product owners, support architecture and design reviews, and drive development and demonstration of advanced algorithms and software for DoD and Intelligence Community missions. Balance reuse, integrated system offerings, and component supply-chain opportunities while leading engineering teams through the Agile lifecycle and supporting technical marketing and business development.

Lead development and adoption of Medical Insights capabilities across Medical Affairs, applying advanced analytics and AI to translate medical data into actionable insights. Drive strategy, governance, use-case prioritization, tool requirements, stakeholder alignment, value measurement, and adoption to inform evidence generation, medical strategy, and decision-making across cross‑functional and global teams.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Join Click Therapeutics' talent community to stay updated on potential job openings that match your skills and background.

Lead scientific communications and external engagement for Click's digital therapeutics pipeline; publish and present clinical evidence; build KOL relationships; provide scientific support for business development and partnerships; and collaborate cross-functionally with product, clinical, and regulatory teams to align development with clinical evidence and market access requirements.

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 product strategy and execution for mission-focused software by engaging customers, guiding cross-functional teams, managing risk, improving discovery, mentoring product managers, and supporting business development for national security applications.

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.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

Lead and grow an AI engineering team to build internal copilots, agents, and an AI platform. Act as a player-coach contributing to architecture, prototypes, and code. Define technical roadmap, partner with business leaders to ship AI-native workflows, and ensure governance, observability, evaluation, and cost controls for LLM-driven systems.

Lead and execute SharkNinja's AI integration across the engineering lifecycle: build unified engineering data infrastructure, deploy AI-powered tooling for design, testing, reliability, and program management, embed AI Fellows into teams, drive change management and adoption, and deliver measurable outcomes tied to faster, higher-quality product development.

Lead AI integration across People & Culture by building data foundations, deploying AI capabilities and workflows, managing cross-functional AI initiatives, driving adoption and measurable impact, and transforming HR service delivery, hiring, and internal storytelling. Operate as a strategic player/coach, prioritizing execution and scaling enterprise AI solutions.

The role involves designing and developing AI software solutions, collaborating with cross-functional teams, and optimizing large-scale AI systems for performance and scalability.

The Senior Lead AI Engineer will develop and support AI software components, partner with cross-functional teams, and enhance AI systems performance. Responsibilities include designing, deploying, and optimizing AI models for improved banking services.

Lead the development of AI-powered products by collaborating with cross-functional teams, designing AI components, and optimizing models for performance and scalability.

Lead design, develop, deploy, and support foundational AI systems (LLM training/inference, similarity search, guardrails, observability). Partner cross-functionally to optimize scalability, cost, latency, and throughput, apply state-of-the-art research to production, and shape long-term AI platform roadmap.

As a Sr. Lead AI Engineer, you will design, develop, and manage AI software components, working with cross-functional teams to advance AI applications at Capital One.

Lead AI Engineer responsible for creating and deploying AI solutions, collaborating with cross-functional teams to innovate AI-powered banking products, and driving the technical vision for foundational AI systems.

The Senior Distinguished AI Engineer at Capital One will develop AI-powered products, optimize large-scale AI systems, and mentor engineering teams, driving advancements in AI and ML for better customer experiences.

In this role, you will lead AI projects, collaborating with cross-functional teams to develop and deploy advanced AI solutions, focusing on LLM inference and model optimization.