Artificial Intelligence Jobs in Cambridge, MA

The AI Operations Associate monitors AI-driven workflows, investigates incidents, supports operational controls, and recommends improvements to maintain workflow reliability and safety in finance environments.

The AI Support Analyst provides technical assistance for AI tools, resolves user issues, and supports training and adoption initiatives across the firm.

The AI Quality Associate evaluates AI outputs for quality, develops benchmarks and rubrics, validates workflows, and collaborates with finance experts to ensure high-quality AI-assisted outputs.

The job involves executing multi-omics workflows on CNS tissue, performing histological analyses, and collaborating on drug discovery programs. Key tasks include RNA-seq library preparation, spatial transcriptomics, and managing tissue samples while mentoring junior staff.

The Product Owner will lead the development of AI/ML-driven digital products for molecular modeling, enhancing scientific workflows and driving product adoption through agile cross-functional team leadership.

The role involves architecting and building scalable AI solutions, including orchestrating workflows, developing Text-to-SQL agents, and maintaining automated evaluations within a life sciences context.

Design and build LLM-powered agents for hardware product development. Responsibilities include ensuring effective coordination among engineering disciplines and integrating AI systems with existing tools.

The Director, Artificial Intelligence will lead a team developing AI solutions to enhance business processes and generate insights for John Hancock and Manulife, while managing a team of AI Engineers and Data Scientists, and ensuring strategy alignment and measurable impact.

Conduct analysis of high-frequency wearable sensor data to develop digital biomarkers using signal processing and AI; build time-series models and data pipelines; integrate multi-modal datasets; collaborate with cross-functional teams and communicate results via reports and publications.

Lead solution marketing for Axiom's AI-enabled legal offerings: develop and execute Tech+Talent 2026 strategy, craft positioning and sales enablement, run GTM campaigns, analyze performance, and collaborate cross-functionally to drive demand and client engagement.

The Research Manager, AI Safety will oversee research fellows, facilitate project execution, provide feedback, and manage partnerships related to AI safety initiatives.

The role involves program design for AI safety fellowships, supporting mentorship experiences, and improving research support systems for fellows.

The Data Engineer will develop and optimize data pipelines for LLMs, ensuring high-quality healthcare datasets while collaborating with data scientists on model requirements.

The role involves designing and implementing a scalable AI framework, integrating AI services with data pipelines, and collaborating with teams for secure deployment.

Lead and build the ATS Sales Enablement function, translating product capabilities into value-based sales motions and enablement assets. Partner cross-functionally with Product, Marketing, Sales, Pricing, and RevOps to support launches, create content, and measure enablement impact on pipeline and sales effectiveness.

Lead and build the AI layer for an AI-native data integration platform: select and manage LLMs, design RAG and agentic architectures, implement transformation generation and validation, integrate AI into workflows, establish monitoring/evaluation, and define responsible AI practices for financial services.

Design and implement the EisnerAI platform architecture, integrate data, governance, AI/agent and application layers, lead development of AI agents, build model evaluation/post-training optimization, and ensure responsible AI and data governance.

Lead the AI Systems & Scale group to design and implement advanced AI systems for drug discovery, overseeing project management and technical leadership.

Lead enterprise Data & AI strategy and act as product and portfolio owner for all Data & AI initiatives. Define strategy, create product-aligned roadmaps, track delivery and value realization, govern portfolio discipline, and produce executive/investor/client communications. Build and lead a small team to ensure roadmap execution, prioritization, and fact-based reporting of outcomes.

Build, administer, and scale marketing systems to automate workflows, connect platforms, and embed AI into campaign execution. Serve as HubSpot administrator, maintain data quality and integrations with CRM/analytics, implement AI-powered marketing workflows, and generate performance analysis to improve campaign optimization and lead management.

Lead AI/ML and analytics solutions design, manage public sector data projects, mentor teams, and ensure effective data operationalization.

The Staff Domain Expert will lead AI initiatives for GTM, translating operational workflows into AI applications while facilitating customer engagements and developing thought leadership.

Lead finance analytics strategy owning data warehouse, BI, GCP cost optimization, and Finance AI automation. Build a reporting Center of Excellence, establish data pipelines and AI model foundations, enable self-service analytics, ensure data governance and audit readiness, and manage a team of engineers and a finance/strategy manager.

Architect and lead AI-hardware co-design solutions from research to validated proofs-of-concept. Quantify compute trade-offs with high-fidelity simulation, optimize algorithms for hardware (memory, dataflow, precision), select compute substrates from MCUs to custom accelerators, mentor engineers, and translate innovation into deployable systems while driving thought leadership in Edge AI.

Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.