Top AI Jobs in Boston, MA

As Product Manager II for AI & Data Security, you'll own the roadmap for AI capabilities, manage security posture, collaborate with engineers and researchers, and engage customers to enhance AI systems security.

The Sr. Lead AI Engineer will design scalable AI services, lead technical projects, improve architectures, mentor engineers, and ensure quality in AI systems.

Leads regulatory intelligence for AstraZeneca’s Respiratory and Immunology portfolio. Analyzes regulatory and competitive developments, assesses impacts on drug and biologic development, identifies regulatory pathways and evidence-generation opportunities, and informs portfolio and product strategies. Partners with global regulatory, clinical, commercial, policy, and regional teams; interprets FDA, EMA, and global health authority trends; supports policy engagement; and drives adoption of artificial intelligence and other tools to improve regulatory intelligence processes.

Partners with business and technology teams to identify high-value AI opportunities, design and build AI-enabled workflow solutions, integrate LLMs and agent tooling with existing systems, and deploy them securely to production. Measures business outcomes, applies responsible-AI controls, documents solutions for ongoing ownership, develops reusable patterns, and coaches colleagues on practical AI adoption in regulated financial services environments.

Leads enterprise AI, machine learning, and data engineering initiatives across document processing, intelligent agents, automation, and financial data platforms. Designs reusable frameworks, scalable pipelines, evaluation processes, data models, governance controls, and lineage standards. Partners with business and technology stakeholders on fund accounting, custody, reference data, reconciliation, regulatory reporting, and client delivery. Mentors teams, influences stakeholders, prioritizes initiatives, and promotes secure, explainable, and responsible technology practices.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

Lead and execute AI integration across finance and legal, owning strategy, sequencing, and delivery. Build and lead embedded AI Fellows, productionalize LLM-driven tools, drive adoption, measure business impact, and coordinate with external partners to consolidate initiatives and ensure enterprise readiness.

Lead enterprise AI integration across Product Development and Product Excellence. Build unified data infrastructure, deploy AI tools, reform program management, scale AI-powered quality and consumer insights, and lead an embedded AI Fellows team to drive adoption, measurable outcomes, and organizational change across hardware and consumer product lifecycles.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

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

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 AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

The Account Executive will prospect, develop, and close new enterprise business in the media and entertainment sector. Responsibilities include product expertise, discovery calls, customized demonstrations, territory planning, quota attainment, customer acquisition, and expansion of existing accounts. The role partners with sales engineering, professional services, marketing, legal, and finance teams while managing complex enterprise sales cycles and building trusted customer relationships.

Leads Philips’ Advanced Imaging R&D organization, overseeing multidisciplinary engineering teams and complex cardiovascular imaging, AI-enabled software, and medical device development from concept through commercialization. Owns portfolio execution, technical decisions, resource planning, regulatory compliance, risk management, and scalable development processes. Partners across functions to align product priorities with business objectives, build technical talent, and advance strategic imaging and AI-enabled product platforms.

Own supplier-side pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build predictive models, data models, dashboards, cohort analyses, and A/B tests using SQL, Snowflake, dbt, and Looker. Partner with product, operations, engineering, sales, finance, and leadership to identify pricing and revenue opportunities, improve supplier retention, and translate marketplace insights into measurable business impact.

Partner with business teams to identify high-leverage AI opportunities; design, build, and ship agentic AI solutions and internal AI platform components. Deliver production LLM-based agents, integrations, and CI/CD pipelines while driving AI enablement, safety, and adoption across the company.

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.

Lead design and prototyping of AI-enabled solutions for Oncology R&D. Develop data pipelines, feature engineering, analytics, and ML models on healthcare data. Partner with scientific and product teams to deliver usable tools, emphasize rapid iteration and production-readiness, and contribute to engineering standards and documentation.

Design and deliver end-to-end AI/ML solutions for Oncology R&D, working with multimodal datasets. Partner with scientists and product leaders to prototype, iterate, and deploy decision-relevant models, document methods for transparency, and ensure solutions are scientifically grounded and usable.

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Lead architecture and implementation of Klaviyo's Customer Agent platform: design scalable agentic/LLM systems, drive technical strategy, ship AI-powered features, ensure reliability and observability, mentor engineers, and partner cross-functionally to deliver conversational AI at scale.