Top AI Jobs in Boston, MA

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.

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 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.

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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 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.

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.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Lead creative strategy for paid social campaigns by turning audience insights, performance data, and cultural trends into high-performing creative. Build briefs, testing frameworks, and a centralized learnings library; partner cross-functionally and with agencies; run strategy sessions; and adopt emerging technologies, including AI, to improve ideation and optimization.

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.

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Lead and operationalize GitLab's Internal Audit function: plan and execute risk-based audits, oversee SOX testing, facilitate enterprise risk management, coach a distributed audit team, implement QA/improvement programs, and report to senior leadership and the Audit Committee.

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 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.

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.

The AI System Architect will oversee AI integration strategy, system governance, and architecture for enterprise applications, leading a technical team and shaping AI initiatives across platforms.

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.

Lead design, development, deployment, and support of production-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Drive LLM optimizations, technical vision, and cross-functional delivery of responsible AI products.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead product efforts to modernize finance systems by driving AI and automation initiatives. Define product strategy, ensure compliant, audit-ready deliveries, collaborate cross-functionally, and measure operational leverage from automation and AI-enabled solutions.

Own and grow Dynatrace's AI-native partner ecosystem for app builders and AI SaaS. Build executive relationships, execute co-sell motions, drive partner-influenced pipeline and revenue, run joint GTM campaigns, support events and enablement, and collaborate with Product on AI observability integrations and roadmap.

Own backlog prioritization and delivery for AI platform capabilities (MCP connectors, ingestion pipelines, platform enablement). Translate prototypes into requirements, coordinate delivery across Technology, Security, and Investment teams, monitor production health, run UAT, manage governance (RAIC) submissions, and drive iterative improvements and documentation to support adoption.