Top AI Jobs in Boston, MA

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Leads global Clinical Pharmacology and Pharmacometrics Quality operations, strategy execution, transformation, organizational effectiveness, digitalization, AI adoption, governance, performance management, budgeting, workforce planning, vendor investments, and change management. Partners with senior leadership to manage strategic initiatives, improve operational excellence, build capabilities, and sustain a high-performing organization across R&D and Global Quality.

Supports human-centered research, design, usability evaluation, validation, and risk management for medical devices and combination products. Develops user research, human factors studies, usability engineering files, protocols, reports, and design-control documentation in accordance with regulatory guidance, IEC, and ISO standards. Collaborates with engineering, clinical, regulatory, quality, data science, and commercial teams; manages research vendors; supports AI-enabled research methods and internal and external audits.

Leads process analytics method development, automation, robotics-enabled workflows, and platform implementation across pharmaceutical development programs. Establishes analytical standards, governance, roadmaps, and performance measures; transfers methods into laboratories; modernizes data and instrument connectivity; manages vendors; and supports process analytical technology, quality, compliance, and inspection readiness. Provides technical and people leadership while coordinating cross-functional stakeholders and driving scalable, standardized analytical capabilities across sites.

Leads Takeda’s global communications insights and metrics capability, converting external stakeholder, media, policy, societal, reputational, and employee engagement signals into executive-ready intelligence. Builds narrative intelligence programs, dashboards, metrics, early-warning mechanisms, governance processes, and AI-enabled decision-support tools. Partners with senior leaders, analytics, data, digital, and technology teams to support strategic planning, organizational effectiveness, emerging-issue response, and governance effectiveness.

Leads Takeda Oncology’s global forecasting function across marketed products, launches, pipeline assets, lifecycle opportunities, and business development evaluations. Establishes forecasting strategy, governance, methodologies, and standards; directs portfolio modeling and scenario analysis; translates insights into commercial, investment, and business-planning recommendations; influences executive decisions; and develops a high-performing forecasting organization across a global matrix.

Owns platform product operations for Billing, Org & Auth, and Security teams. The role identifies enterprise-readiness gaps, connects platform investments to ARR, analyzes structured and unstructured data, and builds internal data and AI products. Responsibilities include roadmap prioritization, revenue-impact analysis, repeatable workflows, executive recommendations, and end-to-end ownership of tools and projects. Candidates need 8+ years of relevant experience, strong analytical and product judgment, and a record of shipping useful solutions tied to business outcomes.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Advises pharmaceutical and life sciences clients on R&D operations, clinical trial design, organizational design, process optimization, regulatory compliance, analytics, and portfolio management. Develops actionable strategies, executive presentations, and decision-support insights while coordinating projects and client workshops. Guides junior team members, supports change management, and helps clients improve R&D productivity, operational effectiveness, growth, and innovation across the drug development lifecycle.

Leads enterprise data science initiatives for agentic AI products, including AI/ML model development, experimentation, telemetry analysis, and strategic recommendations for senior leadership. Partners with data scientists, engineers, and product managers while translating complex statistical insights into business outcomes. Requires extensive experience in quantitative analytics, large-scale data analysis, production AI/ML deployment, A/B testing, and team leadership.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Serve as an embedded security partner to business, product, data, and technology teams. Assess architectures, conduct threat reviews, develop secure-by-design patterns, guide SaaS and vendor selection, and translate security requirements into practical controls. Support identity, infrastructure, AI workflows, data strategy, M&A integrations, and automated guardrails while enabling teams through training and collaboration.

Leads consulting engagements focused on product development and manufacturing transformation. Diagnoses lifecycle bottlenecks, improves cost, quality, speed to market, lean processes, supply chain integration, and digital operations. Manages client workstreams, teams, budgets, deliverables, and risks while coaching junior staff. Develops client recommendations involving product strategy, roadmaps, positioning, and go-to-market planning, and applies analytics, AI, and emerging technologies to improve operational performance.

Serves as the primary technical advisor for industrial hygiene and safety engineering initiatives. Develops hazard-control strategies, conducts exposure assessments, evaluates robotics and automation risks, supports facility modernization, and delivers onsite surveys and executive reports. Leads risk reduction projects, tracks KPIs, provides coaching and training, and advises stakeholders on regulatory and consensus standards. The role is remote with up to 35% overnight travel across U.S. and international customer locations.

Provides security architecture and enablement across SaaS platforms, APIs, custom applications, data integrations, cloud environments, and AI workflows. Partners with product, engineering, data, architecture, identity, infrastructure, enterprise, and procurement teams to conduct threat reviews, develop secure-by-design patterns, assess vendors, implement guardrails, and manage risks. Translates security requirements into practical solutions, supports enterprise data strategy and M&A integration, and mentors teams as a trusted security advisor.

Drives HPE private cloud AI sales across a multi-state territory, creating pipeline, developing net-new business, engaging executives, and closing complex enterprise opportunities. Advises customers on generative AI, infrastructure, hybrid cloud architectures, economics, security, and governance. Coordinates account managers, architects, services, partners, and executives through discovery, validation, business-case development, negotiation, and close while serving as an AI sales subject-matter expert.

The Senior Accountant oversees monthly, quarterly, and annual close processes; prepares financial statements, audit schedules, and reports; researches accounting policies; maintains internal controls; and identifies financial-system issues. The role supports treasury projects, leads process improvements, participates in department initiatives, reviews team members’ work, and trains colleagues. It requires effective communication with management, strong prioritization, attention to detail, and advanced Excel and Word skills.

Leads Dragos Public Sector’s post-sales technical team, mentoring subject matter experts and driving customer adoption, operationalization, and measurable platform value. The role manages customer escalations, stakeholder relationships, product feedback, roadmap advocacy, team processes, performance metrics, and AI-enabled improvements. It requires industrial cybersecurity expertise, SIEM experience, advanced network traffic analysis, U.S. citizenship, and willingness to travel up to 25%.

Supports AI engineering initiatives at Vantor, contributing to spatial intelligence solutions and helping develop technologies that enable customers to understand current and future conditions. The posting provides limited role-specific responsibilities but emphasizes problem-solving, innovation, collaboration, and mission-focused work. Applicants must qualify as a U.S. Person under applicable export control and ITAR requirements.

Provide personalized customer support by phone, text, email, and social media. Guide business owners through payroll account setup, resolve escalated issues, and build strong customer relationships. Use AI to create support macros, Help Center content, and workflows, while improving processes and supporting customer acquisition, satisfaction, and retention goals.

Provides strategic technical leadership in industrial hygiene and safety engineering for a major account. Responsibilities include hazard identification, exposure assessments, risk prioritization, control evaluation, onsite industrial hygiene sampling, robotics and automation safety reviews, facility modernization support, executive reporting, KPI tracking, training, mentoring, and project leadership. The role is remote with up to 35% overnight travel across the United States and potentially internationally.

Own the strategy and roadmap for fraud risk case resolution, including AI-assisted review, automation, self-service, and case management. Partner with Risk Operations, Engineering, Data Science, Analytics, and Compliance to define scalable workflows, requirements, metrics, auditability, and resolution paths. Use operational data to improve automation, decision quality, workload reduction, customer self-service, and cost while supporting regulated risk processes such as anti-money laundering and Responsible Gaming.

Leads multiple global travel support teams operating 24/7. Responsibilities include developing standardized processes, improving operational scale, managing escalations, monitoring service levels and customer satisfaction, conducting root-cause analysis, coaching managers, supporting hiring and training, and reporting performance. The role requires contact-center leadership, travel industry systems experience, customer-service expertise, analytical problem solving, and flexibility for nontraditional shifts and potential weekend on-call coverage.