Artificial Intelligence Jobs in Cambridge, MA

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.

The Senior Solution Owner will lead product strategy and execution for AI and data solutions, overseeing product lifecycles and data migration initiatives, and ensuring effective cross-functional collaboration.

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.

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

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 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.

Design, build, and deploy AI-enabled finance solutions: partner with finance stakeholders, prototype and deliver AI workflows, automations, and analytics; integrate systems via APIs; create reusable components; drive deployment, adoption, and continuous improvement of production-ready capabilities.

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 end-to-end development of an agentic AI platform powering customer-facing experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy LLMs, voice models, and automation; drive experimentation to improve accuracy, satisfaction, and automation rates.

Lead end-to-end development of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, partner with engineers on prompt strategies, evaluation frameworks, and guardrails. Drive experimentation to improve automation rates, answer quality, and customer satisfaction. Integrate with partners like OpenAI to deploy voice and workflow automation models and establish AI best practices and platform standards across the org.

Lead development and scaling of an agentic AI platform and customer experiences. Own roadmap, collaborate with engineering on prompts, evaluation, guardrails, and APIs, run experiments to improve automation and quality, and partner with vendors like OpenAI to deploy next-gen models.

Lead end-to-end product development for an AI agent and platform that automates sales and service. Define roadmap, partner with engineering on prompts, APIs, evaluation frameworks, guardrails, and integrations (e.g., OpenAI/ChatGPT). Drive experiments to improve answer quality, automation rates, latency, cost, and customer satisfaction while establishing AI best practices and platform standards.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define prompt strategies, evaluation frameworks, guardrails, and API/system architecture. Partner with engineering and OpenAI to deploy voice and workflow automation models. Drive experimentation to improve automation rates, answer quality, and customer satisfaction.

Lead consolidation and long-term architecture of the company's AI platform: unify prompts, prioritize chatbot work, own OpenAI partnerships, drive platform strategy, and coordinate cross-functional execution while keeping production systems reliable.

Lead end-to-end development and scaling of an agentic AI platform that automates customer interactions. Define roadmap, partner with engineers on prompt strategies, evaluation frameworks, guardrails, and API design. Translate technical tradeoffs across teams, drive experiments to improve answer quality and automation rates, and work with partners like OpenAI to deploy voice and workflow automation models.