Artificial Intelligence Jobs in Cambridge, MA

Lead development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI, run experiments to improve accuracy, latency, cost, and automation rates, and translate technical work across the organization.

Lead and own the AI platform strategy: consolidate prompts across systems, prioritize chatbot work, drive architectural decisions, manage OpenAI/ChatGPT integrations, and translate technical tradeoffs into execution while learning prompt workflows and coordinating engineering, data, and operations teams.

Lead development and scaling of an AI agent platform to automate customer interactions. Define roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Translate technical design across the org, run experiments to improve quality and automation, and work with OpenAI on voice and workflow model integrations.

Lead consolidation and strategy for a fragmented AI prompt platform, prioritize chatbot and agent work, own OpenAI partnership and ChatGPT presence, and drive platform architecture, migration, and cross-functional execution to scale AI-powered customer experiences.

Lead development and scaling of Jerry.ai’s agentic AI platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and external partners (e.g., OpenAI) to deploy voice and workflow automation models, drive experimentation to improve quality and automation, and establish AI best practices and platform standards.

Lead the customer-facing Agentic AI product and unify fragmented LLM-driven systems. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Translate technical design across the organization, run experiments to improve quality and automation rates, and collaborate with OpenAI to deploy next-generation voice and workflow models.

Lead end-to-end development and scaling of a customer-facing agentic AI platform using LLMs, agents, and internal APIs. Define prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, and customer satisfaction. Serve as technical translator between engineering and product, work with partners like OpenAI, and drive production-grade workflows and integrations.

Conduct quantitative research to design and validate trading models, alpha signals, and analytics; apply statistical and ML methods to large financial datasets; develop research code and AI tools (Python, Matlab, SQL); collaborate with traders, SSA researchers, and academics to translate findings into scalable trading indicators and internal/client materials.

Lead development and deployment of AI/ML solutions for target discovery, translational research, biomarker identification, and scientific decision-making. Partner with scientists and engineering teams to build scalable workflows for complex biological and multimodal data, promote best practices, mentor colleagues, and recommend emerging AI technologies to accelerate research.

Lead end-to-end development and scaling of an agentic AI platform that automates customer interactions. Define roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to deploy voice and workflow automation, improve answer quality and automation rates, and establish AI platform standards across the organization.

Lead the end-to-end development and scaling of a customer-facing agentic AI platform using LLMs and agents. Define prompt strategies, guardrails, evaluation frameworks, and API designs. Translate technical work across product and engineering, run experiments to improve accuracy and automation rates, and partner with OpenAI on voice and workflow model integrations.

Lead end-to-end development of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, prompt strategies, evaluation frameworks and guardrails; partner with engineers and OpenAI; drive experimentation to improve automation, accuracy, and customer satisfaction.

Lead consolidation and strategy for a fragmented AI prompt/platform stack, own technical prioritization for chatbot/agent features, manage vendor relationships (e.g., OpenAI/ChatGPT), drive architectural decisions, coordinate engineering/data/ops to deliver production-grade LLM-powered customer experiences, and maintain day-to-day platform reliability.

Lead development and scaling of Jerry.ai's AI agent platform and customer experiences. Define roadmap, design prompt strategies, evaluation frameworks, and guardrails. Act as technical translator between engineering and the business, run experiments to improve automation, quality, and satisfaction, and partner with OpenAI on voice and workflow model integrations.

Lead development and scaling of a customer-facing agentic AI platform. Define roadmap, design prompt strategies, evaluation frameworks and guardrails, collaborate with engineers, run experiments to improve automation and satisfaction, and partner with OpenAI on voice and workflow model integrations.

Lead end-to-end development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation, answer quality, and customer satisfaction. Partner with engineers and OpenAI to deploy voice and workflow models and serve as technical translator across the organization.

Lead consolidation and platform strategy for Jerry.ai's AI systems: unify prompt sources, prioritize chatbot technical work, drive architecture decisions, manage partnerships (e.g., OpenAI/ChatGPT), and coordinate cross-functional teams to deliver scalable, production-grade agentic AI products.

The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.

The Senior AI Engineer will develop and deploy AI solutions, improve operational efficiency, and ensure production-grade AI services for Long-Term Care. Responsibilities include building ML pipelines, monitoring models, collaborating with teams, and ensuring compliance and governance.

Lead development and deployment of AI/ML solutions for target discovery, translational research, and biomarker identification. Partner with scientists and data engineers to build scalable workflows for multimodal biological data, promote reproducibility and model validation, mentor colleagues, and recommend emerging AI applications to accelerate discovery.

Audit and monitor data labeling outputs, provide actionable feedback, support onboarding and training of annotators, enforce and improve guidelines, escalate workflow issues, and document findings to maintain high-quality human-in-the-loop AI data processes.

Evaluate AI model outputs, perform audit-based reviews, apply and improve guidelines, identify trends and failure modes, document findings, and collaborate with leads and cross-functional teams to refine quality standards.

As AI Research Scientist I, you will propose AI solutions, apply ML models in drug design, publish papers, and collaborate in a fast-paced environment.

The intern will assist with AI research and development, including prototyping AI models, collaborating on projects, and documenting findings.

The Pre-Sales Data and AI Architect will design and operationalize enterprise data architectures, collaborating with teams to ensure effective integration of Salesforce D360 into complex ecosystems while driving customer success through innovative data solutions.