Top AI Jobs in Boston, MA

Support procurement intake, supplier onboarding, contract and purchasing workflows, and procurement technology administration. Produce spend and supplier performance analysis, maintain procurement data and dashboards, monitor service levels and compliance, and drive automation and continuous-improvement initiatives to streamline procurement operations.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Leads CDW’s proposal enablement function across vetting and content teams. Develops an AI enablement roadmap, implements AI-powered workflows, improves go/no-go decisions, manages proposal content libraries, and ensures compliance and quality. Oversees team development, capacity planning, recruiting, and cross-functional collaboration with sales and company-wide AI initiatives. Drives process standardization, responsible AI adoption, continuous improvement, and measurable gains in proposal speed, throughput, and win-readiness.

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.

Leads Liberty Mutual’s People, Purpose and Brand technology strategy, modernization, investment portfolio, and 125-person organization. Oversees HCM platforms, employee experience, data, AI, architecture, security, integrations, vendors, and resilient operations. Partners with executives to prioritize investments, drive multi-year transformation, improve outcomes, and modernize engineering practices. Builds high-performing, inclusive teams and manages financial, operational, talent, vendor, and change leadership responsibilities across a complex regulated environment.

Manage high-volume pre- and post-sales marketing deliverables, translating AI, data, identity, and platform capabilities into client narratives, proposals, presentations, and enablement materials. Partner cross-functionally on product marketing, positioning, sales training, field marketing, events, and thought leadership. Develop scalable collateral libraries and explore AI-powered tools and workflows to improve marketing and sales efficiency.

Own the vision, strategy, roadmap, and end-to-end execution for a major AI-driven product area. Collaborate with Design, Engineering, Sales, Customer Success, and Marketing to ship measurable customer and business outcomes. Lead discovery, prototype and evaluate AI-enabled solutions, drive go-to-market and adoption, mentor product managers, and help improve product development practices across Crexi.

Own the competitive intelligence program for fraud prevention and AML compliance. Responsibilities include developing CI strategy, conducting primary and secondary research, maintaining competitive databases, creating battlecards and win/loss analyses, supporting sales calls, informing marketing and product positioning, evaluating competitor architectures, managing CI knowledge, and optimizing intelligence workflows with AI capabilities.

Build and lead Rubrik’s global professional services resource management and capacity planning function. Standardize workflows across NAM, EMEA, and APAC; improve data integrity, reporting, automation, and PSA system adoption; forecast capacity and demand; manage subcontractor partnerships; and provide executives with utilization and talent distribution insights. Partner with delivery, finance, HR, and regional leaders to drive consistent global execution and operational efficiency.

Own the strategy, roadmap, packaging, and go-to-market evolution of Pluralsight’s AI, Cloud, and Security learning solutions. Design blended learning programs, define expert perspectives, identify content and lab components, monitor market needs, and use customer and learner data to improve outcomes. Partner with Product, Sales, Marketing, Curriculum, Engineering, and Services teams, support strategic enterprise deals, manage solution benchmarks, and drive adoption, renewals, and revenue growth.

Leads internal and external compliance audits, assessments, attestations, and certifications across security, privacy, and enterprise frameworks. Develops system integrations and scalable automation to streamline audit and compliance programs. Communicates with internal and external stakeholders, evaluates risks, improves information security processes, and applies AI technologies to enhance workflows and decision-making.

Leads client-facing data science and analytics initiatives, translating complex marketing and media data into actionable business narratives. Develops measurement strategies, including test/holdout incrementality, informs acquisition and retention decisions, scales analytics best practices, and manages analyst teams. Partners with Sales, Client Services, Operations, and other stakeholders while supporting predictive and adaptive AI/ML solutions. The role requires strong client communication, strategic leadership, analytics expertise, and proficiency with Python, SQL, Tableau, and related tools.

Own end-to-end sales operations workstreams supporting Enterprise Account Executives. Analyze sales data, build dashboards and KPIs, improve intake and pipeline processes, and recommend solutions that increase seller effectiveness, revenue, and profitability. Collaborate with Sales Operations, Deal Desk, Finance, Legal, Sales Strategy, and GTM Systems stakeholders. Use AI and automation to streamline workflows and present findings to senior leaders.

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.

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.

The Sales Development Representative conducts outbound prospecting to internal IT departments and channel partners through phone, email, and LinkedIn. Responsibilities include building pipelines, qualifying prospects, setting product demos, supporting Account Executives, meeting sales quotas, maintaining accurate Salesforce records, and learning cybersecurity solutions. The role also involves exploring AI tools for prospect research, prioritization, outreach preparation, and follow-up in a remote environment.

Lead client engagements to optimize manufacturing and product development lifecycles using lean and Six Sigma methods, supply chain integration, PLM, and digital technologies. Manage project planning, budgeting, team coaching, feasibility and cost analyses, and drive adoption of emerging technologies to improve speed to market, reduce cost, and enhance quality.

Consult with manufacturing clients to analyze processes, identify bottlenecks, and develop strategies to improve speed to market, reduce costs, and enhance quality. Implement lean and Six Sigma methodologies, optimize supply chain integration, leverage digital technologies, conduct feasibility and market analyses, manage project resources, and advise on compliance while building client relationships and developing team leadership skills.

Leads global data center capacity management across power, cooling, space, availability, and infrastructure. Manages forecasting, utilization optimization, DCIM-based inventory, reporting standards, physical audits, compliance readiness, SLAs, equipment lifecycle planning, and decommissioning. Builds and develops a team while influencing cross-functional partners and suppliers. Requires strong data center infrastructure knowledge, advanced spreadsheet analysis, capacity modeling, and experience using AI to improve workflows and decisions.

Build and support production AI platform components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize large-scale AI systems for scalability, latency, throughput, cost, and hardware utilization. Partner with engineering, research, product, and program teams; contribute to technical vision and roadmap; and lead or mentor engineering teams.

Lead the design, development, deployment, and support of scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize AI training and inference for latency, throughput, cost, and hardware utilization. Partner with engineering, research, product, and program teams while contributing to technical strategy and mentoring stakeholders.

Lead the design, development, deployment, and support of foundational AI systems, including LLM inference, model training, similarity search, guardrails, evaluation, governance, and observability. Drive build-versus-buy decisions, optimize production AI systems for scalability, cost, latency, and throughput, and shape long-term technical roadmaps. Manage, mentor, and grow an engineering team while partnering with scientists, product managers, and technical program managers.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and deployment. Collaborate with data scientists, engineers, and product managers to deliver scalable AI-powered products. Research state-of-the-art methods in language and vision-language modeling, optimize training and inference, develop platform or solution code, and translate research findings into customer-focused business outcomes.

Lead development of responsible, scalable AI systems, including foundation-model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Optimize production AI systems for scalability, latency, throughput, hardware utilization, and cost. Partner with engineering, research, program management, and product teams while shaping the technical vision and roadmap for foundational AI platforms.