Artificial Intelligence Jobs in Cambridge, MA

3 Days AgoSaved
In-Office or Remote
Boston, MA, USA
Expert/Leader
Expert/Leader
Angel or VC Firm • Artificial Intelligence • Software
Lead Foundry from inception as Co-Founder and CEO. Own venture strategy, ICP, pricing, positioning, customer development, pilot placements, go-to-market, product iteration, seed fundraising, and founding-team recruitment. Partner with FutureSight’s design and engineering teams to launch the MVP, convert early customers, build the company, and establish its culture.
Top Skills: Ai AgentsArtificial IntelligenceB2B Saas
3 Days AgoSaved
In-Office or Remote
Boston, MA, USA
Expert/Leader
Expert/Leader
Angel or VC Firm • Artificial Intelligence • Software
Lead LucentAI from venture creation through growth as Co-Founder and CEO. Responsibilities include refining strategy, pricing, positioning, customer development, pilot conversion, product direction, fundraising, hiring, and company culture. The role requires building relationships with insurance-defense firms, shipping an AI-native litigation operations product, converting design partners into customers, and leading the seed raise with FutureSight’s support. Compensation is founder equity rather than salary.
Top Skills: Artificial IntelligenceB2B SaasCase-Management Systems
9 Days AgoSaved
Hybrid
67 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.
Top Skills: AWSCloud PlatformsData PipelinesDatabricksDeep LearningGCPJavaMachine Learning LibrariesAzureNatural Language Processing (Nlp)Neural NetworksPythonSnowflake
4 Days AgoSaved
In-Office
5 Locations
143K-304K Annually
Senior level
143K-304K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Define the vision, strategy, and roadmap for Microsoft’s Responsible AI platform. Lead development of capabilities for AI evaluation, red teaming, safety guardrails, risk detection, monitoring, governance, transparency, and compliance. Conduct enterprise customer discovery, translate emerging risks and regulations into scalable products, and coordinate execution across engineering, research, legal, security, compliance, and Microsoft product organizations. Establish success metrics, improve adoption, and represent Microsoft with customers, partners, standards bodies, and industry forums.
Top Skills: Agent MonitoringAi EvaluationsAi GovernanceAi Red TeamingAi Risk DetectionAi Safety GuardrailsArtificial IntelligenceCloud InfrastructureGitMicrosoft FoundryMicrosoft SecurityModel MonitoringResponsible AiTransparency And Provenance
Reposted 4 Days AgoSaved
In-Office or Remote
4 Locations
133K-240K Annually
Expert/Leader
133K-240K Annually
Expert/Leader
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Leads Microsoft sales teams and go-to-market strategies to drive revenue, cloud consumption, customer value, and AI transformation. Builds executive and partner relationships, develops market and account plans, coaches teams, manages performance, and ensures secure, compliant sales execution. The role also oversees pipeline growth, strategic partnerships, customer satisfaction, talent development, and cross-functional alignment across Microsoft business segments.
Top Skills: Artificial IntelligenceCybersecurityData SecurityMicrosoft Cloud SolutionsSecure Future Initiative
5 Days AgoSaved
In-Office
10 Locations
183K-387K Annually
Expert/Leader
183K-387K Annually
Expert/Leader
Consulting
Leads Crowe’s global resource management strategy, operating model, demand and capacity planning, staffing, utilization, workforce planning, and global delivery integration. Partners with executives and cross-functional leaders to improve resource allocation, delivery economics, employee development, forecasting, dashboards, data quality, automation, and AI-enabled staffing processes. The role also establishes governance, enterprise metrics, flexible capacity practices, and continuous improvement across business units, geographies, and India delivery teams.
Top Skills: Artificial IntelligenceAutomationDashboardsData GovernanceWorkforce Planning Platforms
Reposted 10 Days AgoSaved
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
132K-198K Annually
Senior level
132K-198K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
The Marketing Operations Lead is responsible for optimizing systems and processes in marketing and sales, enhancing demand generation efficiency, and integrating with various data systems.
Top Skills: AICRMData FlowEvent-Based LogicMarketing Automation PlatformsWorkflows
Reposted 10 Days AgoSaved
Hybrid
6 Locations
209K-286K Annually
Senior level
209K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.
Top Skills: Aws UltraclustersC#C++Go (Golang)HuggingfaceJavaLarge Language ModelsLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Reposted 10 Days AgoSaved
Hybrid
5 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead modernization of enterprise AI/ML infrastructure and analyst workflows. Build agentic, scalable, secure platform services, integrate generative AI and low-code/no-code tooling, scale AutoML for tabular and time-series, and engineer automated governance and controls while mentoring teams and influencing cross-functional stakeholders.
Top Skills: AutomlAWSAzureC#C++GoGCPJavaLlm InferencePythonScalaSimilarity SearchTabularTime-SeriesVectordbs
Reposted 11 Days AgoSaved
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
216K-324K Annually
Senior level
216K-324K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Lead architecture, design, and delivery of Klaviyo's Customer Agent conversational AI platform. Drive technical strategy, build scalable AI-enabled features, establish observability and reliability practices, mentor engineers, and coordinate cross-functional initiatives to deliver production agentic systems for millions of users.
Top Skills: Agent WorkflowsAi ObservabilityBackend EngineeringDistributed SystemsEvaluation FrameworksHuman-In-The-Loop WorkflowsLlmsOrchestration FrameworksRetrieval Systems
Reposted 11 Days AgoSaved
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
216K-324K Annually
Senior level
216K-324K Annually
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
Lead architecture, design, and implementation of a scalable conversational AI platform (Customer Agent). Drive technical strategy for LLM-powered agentic systems, retrieval, orchestration, memory, evaluation, and reliability. Ship AI product features, establish observability/testing/operational best practices, lead cross-functional initiatives, mentor engineers, and evaluate emerging AI technologies to deliver reliable customer-facing experiences.
Top Skills: Agent WorkflowsAi ObservabilityBackend EngineeringDistributed SystemsEvaluation FrameworksHuman-In-The-Loop WorkflowsLlm-Powered ApplicationsOrchestration FrameworksRetrieval Systems
Reposted 11 Days AgoSaved
Hybrid
4 Locations
263K-327K Annually
Expert/Leader
263K-327K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
As an Applied Researcher II, you will create AI systems for banking, working with cross-functional teams to develop and implement AI-powered products, while conducting applied research and engaging with emerging technologies.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
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Reposted 11 Days AgoSaved
Hybrid
4 Locations
219K-272K Annually
Internship
219K-272K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
The role involves partnering with a team to deliver AI products, utilizing various technologies and conducting applied research to enhance customer experiences leveraging AI.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
Reposted 11 Days AgoSaved
Hybrid
5 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
This role involves leading the development of AI-powered products, optimizing large scale AI systems, and mentoring cross-functional teams. It focuses on designing and deploying AI components, contributing to the technical vision, and applying cutting-edge AI techniques.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
Reposted 11 Days AgoSaved
Hybrid
4 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, build, deploy, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production LLM performance (cost, latency, throughput) and contribute to long-term technical vision.
Top Skills: Aws UltraclustersC#C++Go (Golang)HuggingfaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Reposted 11 Days AgoSaved
Hybrid
4 Locations
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead development and deployment of foundational AI systems: design, build, test, and support LLM training and inference, similarity search, guardrails, observability, and optimizations for scalability, cost, latency, and throughput while shaping technical vision and collaborating with cross-functional partners.
Top Skills: AWSAws UltraclustersC#C++GoGoHuggingfaceJavaLarge Language ModelsLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Reposted 11 Days AgoSaved
Hybrid
5 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Optimize large-scale AI performance (cost, latency, throughput), partner cross-functionally, and contribute to technical vision and roadmap.
Top Skills: Aws UltraclustersC#C++GoHuggingfaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Reposted 11 Days AgoSaved
Hybrid
5 Locations
219K-272K Annually
Internship
219K-272K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
As an Applied Researcher I, you will partner with a cross-functional team to develop AI-powered products, build AI foundation models, and conduct high-impact applied research in machine learning.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
Reposted 12 Days AgoSaved
Hybrid
4 Locations
219K-272K Annually
Internship
219K-272K Annually
Internship
Fintech • Machine Learning • Payments • Software • Financial Services
As an Applied Researcher I, you'll partner with cross-functional teams to deliver AI-powered products, build foundation models, and engage in applied research on advanced AI techniques.
Top Skills: Aws UltraclustersHuggingfaceLightningPyTorchVectordbs
Reposted 12 Days AgoSaved
Hybrid
5 Locations
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.
Top Skills: AWSC#C++GoGoHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
12 Days AgoSaved
Hybrid
5 Locations
263K-327K Annually
Mid level
263K-327K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied research and build AI foundation models, particularly large language models and agentic AI systems, across design, training, evaluation, validation, and production implementation. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Research optimization, fine-tuning, robustness, explainability, and related deep learning methods while translating technical findings into business outcomes and independently pursuing impactful research agendas.
Top Skills: Aws UltraclustersCompiler DesignDeep LearningGradient CheckpointingHugging FaceLarge Language ModelsLightningModel CompressionModel SparsificationPythonPyTorchQuantizationReinforcement Learning From Human Feedback (Rlhf)Self-Supervised LearningTraining ParallelismVector Databases
Reposted 12 Days AgoSaved
Hybrid
5 Locations
197K-246K Annually
Mid level
197K-246K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
12 Days AgoSaved
Remote or Hybrid
4 Locations
245K-335K Annually
Senior level
245K-335K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Design, develop, test, deploy, and support production AI systems, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develop state-of-the-art optimization techniques to improve scalability, cost, latency, throughput, and hardware utilization. Shape the long-term technical roadmap for foundational AI platforms while collaborating with engineers, research scientists, program managers, and product managers. Lead and mentor engineering teams and influence senior cross-functional stakeholders.
Top Skills: AWSAws UltraclustersAzureC#C++GoGCPHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
7 Days AgoSaved
Hybrid
Boston, MA, USA
80K-80K Annually
Entry level
80K-80K Annually
Entry level
Big Data • Cloud • Healthtech • Software • Big Data Analytics
Participate in an accelerated consulting program delivering cloud and AI solutions for Life Sciences customers. Configure software, design workflows, structure data, conduct discovery workshops, translate business requirements into technical specifications, manage implementation scope and timelines, and guide customers through successful go-live. Collaborate with internal teams and external stakeholders while developing technical consulting, industry, and project delivery expertise.
Top Skills: Artificial IntelligenceCloud Platforms
7 Days AgoSaved
In-Office
3 Locations
255K-425K Annually
Expert/Leader
255K-425K Annually
Expert/Leader
Biotech • Pharmaceutical
Leads Regeneron’s pharmacovigilance systems and enablement strategy across Global Patient Safety. Owns PV systems architecture, processes, modernization roadmaps, AI use-case prioritization, regulatory compliance, validation, and data integrity. Partners with IT, AI, cloud, compliance, and functional teams to translate requirements into solutions, oversee vendors and delivery, maintain operational reliability, and drive responsible AI adoption. Builds high-performing teams and influences enterprise priorities.
Top Skills: Advanced AnalyticsAi Governance FrameworksArtificial IntelligenceClaudeCloud ComputingDevOpsGxpMicrosoft CopilotPharmacovigilance SystemsReporting PlatformsSafety DatabasesSignal Detection Tools
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