Artificial Intelligence Jobs in Cambridge, MA

Lead a global strategic client sales team serving major financial services organizations across buy-side and sell-side markets. Own aggressive revenue targets, account strategy, forecasting, pipeline development, enterprise sales execution, and team performance across NAMER, EMEA, and APAC. Build senior client relationships, coordinate cross-functional resources, support trials, strengthen brand awareness, and relay market and product needs to internal teams. The role includes regular global travel.

Conduct computational research applying first-principles modeling, atomistic simulations, AI, and scientific machine learning to discover and optimize organic electronics materials. Investigate charge transport, excited-state behavior, morphology-property relationships, and device performance. Build predictive models, connect simulations with experiments, generate materials hypotheses, and collaborate with AI, software, computational, and experimental teams to develop autonomous scientific discovery workflows.

Lead design, development, deployment, and support of foundational AI systems including LLM training and inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI performance (latency, throughput, cost), collaborate cross-functionally, and contribute to technical vision and roadmap for production AI infrastructure.

Provides strategic and technical statistical leadership across the pharmaceutical CMC lifecycle, including process and analytical development, manufacturing, validation, stability, quality control, and regulatory submissions. Establishes a CMC Statistics Center of Excellence, defines governance and best practices, applies DOE, SPC, regression, multivariate, predictive, and advanced analytics methods, and supports investigations and regulatory interactions. Partners across development, manufacturing, quality, regulatory, and digital organizations while building statistical capabilities and training programs.

Leads global technology product strategy and portfolio management for Investment Services’ Commercial Office. Owns multi-year roadmaps, investment priorities, platforms, architecture alignment, data and AI innovation, client experiences, and measurable product outcomes. Partners with senior Sales, Client Management, Servicing, Engineering, Architecture, UX, Data, Risk, and Operations leaders while developing product management talent and fostering an outcome-focused culture.

The Strategy & Execution Manager will drive cross-functional initiatives, support leadership, solve operational gaps, and enhance team alignment for business scaling.

Lead research at Galois by developing externally funded programs in Formal Methods, collaborating with teams, mentoring staff, and engaging with clients.

The Head of Data Science & AI Engineering leads Ipsen's technical strategy in advanced analytics and AI, overseeing data products, mentoring teams, and ensuring compliance in a dynamic biopharmaceutical environment.

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.

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.

Patent Counsel II manages patent prosecution and intellectual property strategy for molecular diagnostics, sequencing, bioinformatics, AI/ML, software, and computational biology technologies. The role drafts and prosecutes domestic and international patent applications, conducts patentability and freedom-to-operate analyses, coordinates outside counsel, advises on trade secrets and publications, supports licensing and litigation matters, and counsels scientific, technical, and business stakeholders on IP risks and opportunities.

Leads strategic transformation initiatives for Claims Pricing & Revenue, improving operational performance, scalability, automation, AI adoption, workflow efficiency, KPIs, and financial outcomes. Partners cross-functionally with Operations, Product, Technology, Analytics, Finance, Networks, and Client Services. The role optimizes claims pricing, repricing, negotiations, revenue workflows, workforce capabilities, and client escalations while translating strategy into measurable implementation plans.

Lead branding, illustration, graphic design, and art direction for retail marketing and activation campaigns across digital, print, environmental, signage, and experiential media. Develop concepts from inception through execution, collaborate with internal and external stakeholders, present creative work, and manage multiple projects under tight deadlines. Apply advanced Adobe Creative Suite and Procreate skills while experimenting with AI and staying current with design trends and technologies.

Leads AI ecosystem business development strategy and commercial relationships with AI model developers, healthcare AI companies, enterprise AI platforms, and AI-native software providers. Owns enterprise data licensing opportunities, channel partnerships, product presentations, technical due diligence, proposals, negotiations, and contract execution. Collaborates cross-functionally on go-to-market strategy, pricing, solutions, product needs, forecasting, and pipeline excellence while establishing team goals and operational standards.

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.

As Product Manager II for AI & Data Security, you'll own the roadmap for AI capabilities, manage security posture, collaborate with engineers and researchers, and engage customers to enhance AI systems security.

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

Lead design, build, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization. Partner with cross-functional teams to deliver scalable, performant, and responsible generative AI platform services and contribute to long-term technical vision and roadmap.

Leads Scribd’s content intelligence and UGC supply portfolio, owning corpus classification, metadata, quality, gap analysis, AI infrastructure, contributor experiences, and content acquisition strategy. Partners with ML, engineering, data science, consumer product, and business development teams to connect content supply with business value. Manages senior product leaders and established engineering and analytics programs while setting portfolio roadmaps and representing content strategy with executives.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.