Artificial Intelligence Jobs in Cambridge, MA

Build and own full-stack AI platform systems: backend services, data pipelines, frontends, and cloud infrastructure. Integrate LLM agents with lab data, instruments, and databases; prototype and harden agentic workflows; write well-tested code; mentor teammates and drive engineering best practices in a research-focused 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.

The Applied AI/Bio Scientist will utilize AI to design biologics, collaborate with teams, and improve discovery processes in therapeutic design.

The AI Platform Engineer will develop full-stack systems connecting AI models to real-world applications in drug design, collaborating with scientists and ensuring rapid experimentation cycles.

The AI and Digital Innovation intern will support AI initiative coordination, experimentation, staff training, and documentation of responsible AI practices within Oxfam.

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.

As a Senior AI/ML Engineer, you will design and deploy LLM systems, collaborate with cross-functional teams, and manage model deployment in production environments.

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

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

The Partner - AI & Analytics role involves leading AI strategy in life sciences, coordinating cross-functional teams, advising on AI-driven projects, and overseeing AI investments while maintaining communication with clients and staying current with AI developments.

As a Solutions Architect, you'll guide enterprises in implementing Claude AI, collaborating with sales and engineering teams to provide effective technical solutions and ensure customer success.

Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.

The Principal Product Manager will drive product strategy and execution, focusing on AI-driven features and collaborating cross-functionally to create customer value and improve product capabilities.

The Automation Engineer designs, develops, and maintains data pipelines and API integrations for scientific workflows while ensuring compliance with industry standards. The role involves collaboration with scientists and the use of various technologies to optimize data processes.

Design and build AI solutions, partner with stakeholders to identify use cases, and ensure AI systems are reliable and effective.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

The AI Research Scientist III will prototype AI/ML solutions, advance drug design campaigns, mentor junior researchers, and publish scientific papers.

The Senior Software Engineer role focuses on developing AI-enabled systems, integrating them into workflows, and collaborating with teams to enhance operational efficiency.

Build and deploy LLM-based chatbots and machine learning models, integrate agents with enterprise databases and APIs, perform data preprocessing and model evaluation, automate data pipelines, and collaborate with internal teams and clients.

Lead multi-quarter AI platform programs across compute, storage, utilization, vendor partnerships, researcher support, and evaluation infrastructure. Coordinate cross-functional teams, define metrics and roadmaps, drive governance and adoption, and deliver measurable improvements in capacity, cost, observability, and researcher experience.

Lead development and delivery of AI-powered features for digital and wealth management. Own product roadmap, translate business needs into product requirements, partner with engineering and data science on model development and deployment, measure product performance, ensure compliance in a regulated environment, conduct customer discovery, and support go-to-market and stakeholder communication.

Lead enterprise AI operating model and portfolio, partner with senior stakeholders to prioritize and govern AI initiatives, design intake and approval processes, build business cases, track risks and impact, and drive adoption and enablement across the organization.

Lead design, development, and deployment of production-grade AI systems (LLM apps, retrieval pipelines). Own technical direction, ensure scalability, reliability, security, and responsible AI. Drive MLOps, model evaluation, monitoring, and mentor engineers while partnering with product and business stakeholders.

Lead AI Product Manager who defines and executes AI product strategy and 12–18 month roadmaps for digital and wealth solutions. Runs discovery, prioritizes AI opportunities, partners with engineering, ensures regulatory compliance, and drives go-to-market and adoption while measuring business outcomes (engagement, efficiency, retirement readiness).

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