Artificial Intelligence Jobs in Cambridge, MA

Own the end-to-end customer-facing conversational agent across chat and voice. Set roadmap, drive conversation and interface design in Figma, prototype with AI coding tools, define agent behavior and quality metrics, partner with enterprise clients for requirements and launches, and iterate from production conversation data.

Lead end-to-end readiness, release, and operational delivery for enterprise AI initiatives. Coordinate Product, Engineering, Release Management, and Operations to ensure governance, compliance, deployment readiness, vulnerability remediation, and executive reporting for production AI capabilities.

Lead the AI engineering org for a YC-experienced startup: drive 0->1 product development, design full-stack architectures, partner with customers and product, mentor engineers, and establish scalable production AI systems and technical strategy.

Lead the AI engineering organization and establish technical strategy for production AI systems. Drive 0→1 product initiatives, design full-stack scalable architectures, partner with customers and product leadership, translate ambiguous problems into solutions, mentor engineers, and influence roadmap while balancing speed, quality, and sustainability.

Design, build, deploy, and monitor production AI/ML systems. Work with LLMs and generative AI, create inference and evaluation pipelines, optimize performance and cost, integrate models into production applications, and collaborate with product and engineering teams to maintain reliable data and model workflows.

Lead design and deployment of production AI systems: architect model serving, inference, evaluation, and optimization pipelines; improve latency, throughput, quality, and cost; lead cross-team AI initiatives; set engineering standards; mentor engineers; partner on AI strategy and evaluate emerging models and infrastructure.

Senior AI leader driving end-to-end delivery of AI solutions across Corporate Functions, focusing on fraud detection and financial crime prevention. Leads cross-functional teams, defines roadmaps, provides hands-on technical architecture and prototyping, ensures governance/security/compliance, promotes enterprise reuse, and drives stakeholder adoption and measurable business outcomes.

Remote participants who are native or expert-level Italian speakers will use a qualifying Google Pixel device for 14 consecutive days to interact with notification-generating apps, complete daily notification-sorting tasks, and submit short daily feedback. Participants must follow confidentiality terms and complete background screening. Project pays $250 upon successful completion.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

Lead enterprise AI platform administration, adoption, governance and support. Manage provisioning, licensing, vendor relationships, budgets, usage analytics, training and cross-functional integrations. Supervise AI Systems team to drive secure, cost-effective, and compliant AI platform adoption across the firm.

Develop and enhance user-facing features for an LLM observability platform using React and TypeScript. Build reusable components and front-end libraries, translate designs into performant UI code, optimize cross-device/browser performance, and collaborate with backend engineers and designers to improve usability.

Own end-to-end product work for AI agents that autonomously run back-office workflows for HVAC contractors. Define agent behavior, prompts, tools, and specs; run discovery with users; partner with engineering, service, and sales; build evals, instrumentation, and KPIs; and iterate to improve adoption, retention, and revenue.

Join as a founding GTM team member to build and qualify pipeline, manage inbound chats/emails, run outreach automations, re-engage sign-ups, track CRM and metrics, and attend events to generate high-value relationships with developers, startups, and enterprises in the open AI ecosystem.

Lead technical strategy and execution for Merlin's AI Core platform across perception, sensor fusion, planning, and control. Build and manage a multidisciplinary engineering organization, own architecture from data pipelines to real-time onboard inference, enforce aviation-grade safety and quality, partner with certification and systems teams, recruit senior talent, and translate research into product opportunities.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.

Commission-only outside sales role selling a quantitative AI trading platform to active retail and professional traders. Prospect at events, run live demos, host educational meetups, pursue B2B outreach to prop shops and small funds, and manage a sales pipeline to grow recurring subscriber revenue.

Design, build, and deploy AI systems and end-to-end data pipelines to automate university operations. Develop, fine-tune, and monitor ML and LLM models, integrate solutions with enterprise systems, ensure performance optimization, security, and governance, and apply MLOps and production deployment practices.

Lead development of AI products from discovery through production: define strategy and roadmap, prototype with agentic tools, translate business problems into scoped AI use cases, own requirements and delivery, design evaluation and quality metrics, support solution architecture, lead cross-functional teams, navigate enterprise AI governance, and mentor product managers.

Build and enhance LangSmith frontend features: implement user-facing UI with React and TypeScript, create reusable components, translate designs into high-quality code, optimize performance, and collaborate with backend engineers and designers to improve observability and evaluation workflows for LLM applications.

Lead AI engineering initiatives, develop AI systems, integrate LLMs, mentor teams, and collaborate on business requirements within agile frameworks.

As an AI Lead, you will deploy models on prototype hardware, develop algorithms, work with hardware engineers to refine architecture, and support market strategy development.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

As a Product Lead for Software/Applied AI, you will own specific product areas, guiding full-stack product execution and cross-functional collaboration to build impactful scientific tools.

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

The AI Scientist will lead the development of biomolecular modeling technologies, focusing on creating and validating AI models for drug design using experimental feedback.