Artificial Intelligence Jobs in Cambridge, MA

Own the vision, roadmap, backlog, and outcomes for data products delivered by data science, AI engineering, and intelligent automation teams. Translate business problems into AI and automation initiatives, prioritize investments, evaluate emerging technologies, and lead pilots through production. Partner with stakeholders and agile delivery teams, validate data and model performance using SQL, ensure responsible governance and scalability, and communicate outcomes to technical and executive audiences.

Owns architecture for institutional client technology platforms supporting onboarding, servicing, reporting, and relationship analytics. Translates business requirements into scalable solutions, establishes integration, data, security, and governance standards, and ensures alignment with enterprise controls. Partners with architects, engineers, data teams, and senior stakeholders through delivery and platform evolution. The role also supports data strategy, regulatory obligations, audit readiness, and client confidentiality while mentoring engineers and business analysts across globally distributed teams.

This 12-week engineering internship supports P&G technical centers and manufacturing sites. Interns contribute to automation and controls, mechanical design, packaging, manufacturing process development, instrumentation, robotics, and environmental or civil engineering projects. Responsibilities include technical analysis, prototyping, process optimization, equipment and control-system development, validation, supplier collaboration, and sustainability initiatives. Interns receive mentorship, training, hands-on project ownership, and exposure to advanced manufacturing and Industry 4.0 technologies.

Generate outbound pipeline across defense and commercial accounts through high-volume, research-driven prospecting. Use AI and intent signals to identify targets, personalize multichannel outreach, cold call, exceed meeting quotas, and collaborate with sales and marketing leaders. Build and document outbound sequences, messaging, openers, and objection-handling processes that establish the company’s repeatable outbound playbook.

The Enterprise Architect will design scalable AI solutions, mentor teams, support business development, and manage client relationships while evolving technology practices.

Lead design, build, and operate scalable GenAI platform components including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Collaborate cross-functionally, invent LLM optimization techniques, and shape long-term technical vision for foundational AI systems.

Leads the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develops optimization techniques to improve scalability, latency, throughput, hardware utilization, and cost. Partners with research, engineering, product, and program teams; contributes to technical vision; and mentors engineers while applying emerging AI research in production.

Secure Hi Marley’s internal AI environment by threat-modeling LLM integrations, agents, MCP connectors, and data pipelines; enforcing isolation, least privilege, and data boundaries; conducting AI red-team testing; managing AI tool governance; maintaining incident response runbooks; and producing SOC 2 and ISO 42001 compliance evidence. Partner with AI Operations and IT on access controls, cloud workload isolation, DLP, monitoring, and safe AI usage guidance.

Own DigitalOcean’s enterprise AI-native architecture, including agent orchestration, shared AI platform services, tool and capability layers, enterprise-system integrations, identity, authorization, governance, observability, evaluation, and cost controls. Build production prototypes and reference implementations, write code, establish technical standards, mentor distributed engineers, and re-engineer business workflows with functional teams. Partner across platform engineering, security, identity, data, and business technology to deliver governed, scalable agentic systems.

Lead AI-driven transformation across Operations by mapping current workflows, designing AI-native target states, validating feasibility and value, building business cases, and facilitating cross-functional workshops. Advise senior executives, manage communications and risks, secure stakeholder alignment, and lead a team of program managers delivering firmwide initiatives.

Leads the enterprise AI governance program, overseeing AI risk assessments, controls, policies, regulatory alignment, committee governance, and executive reporting. Partners with cybersecurity, privacy, legal, compliance, technology, and business teams to enable responsible AI adoption, strengthen governance processes, document risk decisions, and mature the operating model. The role also leads and mentors teams while serving as a credible challenge partner across the organization.

Drive new-account acquisition and cloud migrations for AI and infrastructure solutions. Generate pipeline through global outbound prospecting, execute multichannel outreach, manage the full enterprise sales cycle, and close large cloud, infrastructure, and data center deals. The role requires deep knowledge of AI computing, cloud infrastructure, power capacity, cooling systems, financial modeling, and B2B enterprise net-new cloud sales. Candidates work from Akamai’s San Francisco office and collaborate across time zones.

Leads product safety and wellbeing strategy for AI-powered experiences. Owns safety roadmaps, guardrails, evaluation frameworks, benchmarks, metrics, monitoring, launch-readiness criteria, and human or automated evaluation programs. Assesses failure modes and emerging risks, including self-harm and crisis scenarios, and translates expert and user findings into product guidance. Partners with engineering, machine learning, product, design, and data science teams to improve risk detection, response generation, escalation, and user experience.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

Lead AI Test & Evaluation programs that measure mission-level outcomes across models, subsystems, and user workflows. Architect T&E systems, advise government customers, translate findings into engineering recommendations, run program execution (schedule/budget/team), and grow business opportunities while leading a multidisciplinary technical team.

Support attorneys managing nationwide minimum financial responsibility automobile insurance defense cases. Responsibilities include fact investigation, medical record review, docketing, deadline management, drafting pleadings and discovery, coordinating filings and service, preparing for depositions, hearings, and trials, summarizing records, maintaining files, and producing client reports. The role requires independent case management, legal technology proficiency, attention to detail, collaboration across offices, and at least five years of relevant insurance defense experience.

Manage end-to-end administration of equity plans (options, RSUs, PSUs, XSP); coordinate with Payroll, Accounting, Tax, Legal and People Ops; implement controls and automation; handle 10b5-1 plans and Section 16 reporting (Forms 3/4); prepare equity footnote disclosures, reconcilations and quarterly rollforwards; support ad hoc projects and stakeholders.

Own Reco’s product marketing strategy across competitive intelligence, customer and market research, positioning, messaging, launch planning, content, and sales enablement. Translate complex AI security, agentic AI, SaaS posture management, and non-human identity capabilities into compelling narratives. Lead win/loss analysis, competitive programs, customer interviews, analyst engagement, GTM planning, and cross-functional partnerships with Product, Engineering, Sales, and Marketing.

Conduct applied research and develop AI foundation models, including large language models and agentic AI systems. Responsibilities span model design, training, evaluation, validation, optimization, deployment, and scaling. The researcher collaborates with data scientists, engineers, and product managers to translate advanced AI research into customer-facing products, deliver platform and solution code, evaluate emerging methods, and independently pursue impactful research agendas.

Leads digital and media strategy for a rare hematology pharmaceutical brand across healthcare professional and patient audiences. Owns omnichannel customer journeys, AI-enabled marketing innovation, content personalization, campaign execution, agency partnerships, regulatory review, KPI frameworks, analytics, and investment optimization. Partners with cross-functional teams to improve digital experiences, brand discoverability, campaign performance, and customer engagement.

Lead end-to-end delivery of custom technology solutions across supply chain functions (planning, manufacturing, warehouse, logistics, merchandising). Define architectures and roadmaps, identify agentic AI use cases, guide development/testing/deployment, lead cross-functional teams, manage scope/timelines/budgets, and run client workshops to translate technical solutions into business outcomes.

Lead design and delivery of MassMutual's AI platform components (LLM gateway, model serving, multi-tenant compute). Own architecture, technical execution, reliability (SLOs/observability), governance controls, and cross-team alignment. Provide technical leadership through design reviews, ADRs, and hands-on pairing.

Provide corporate and transactional legal support for technology and corporate initiatives, drafting and negotiating complex technology and commercial agreements, advising on AI procurement and data privacy (HIPAA, state laws), supporting governance, investment due diligence, and legal operations improvements.