Top Natural Language Processing (NLP) Jobs in Boston, MA

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.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

Lead end-to-end performance of customer-facing conversational AI and knowledge base. Design, test, and optimize AI conversations, define intents and success metrics, analyze KPIs, maintain enterprise knowledge, run continuous improvement using analytics and experimentation, and partner cross-functionally to improve CX and business outcomes.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Partner with portfolio managers and researchers to design, prototype, and deploy LLM-enabled AI tools that accelerate investment insights. Lead proof-of-concept and production delivery, ensure security, governance, and regulatory compliance, and transition prototypes into scalable enterprise capabilities working across Investments, Technology, Data, Risk, and Compliance.

Lead data science and knowledge engineering initiatives to transform proposal, RFP, and due diligence content. Build NLP, semantic retrieval, and recommendation systems, design taxonomies and content governance, partner with stakeholders to improve first-draft quality and reuse, and measure impact through metrics like reuse rates, first-draft quality, SME touch frequency, and cycle-time reduction.

As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

Own the end-to-end customer-facing conversational agent across chat and voice. Set roadmap, drive conversation and interface design in Figma, prototype with AI coding tools, define agent behavior and quality metrics, partner with enterprise clients for requirements and launches, and iterate from production conversation data.

Build and maintain record-matching and text-analytics components for an AI-native analytics platform. Implement NLP and linguistics ideas into production code, optimize search internals (Elasticsearch), collaborate in agile sprints, and help design scalable APIs and architectures under senior engineering guidance.

Lead design, development, and implementation of advanced ML and NLP models for payment integrity. Translate business problems into analytics, run large-scale experiments, automate analyses, validate and operationalize models, and present actionable insights. Manage multiple projects, mentor junior staff, and enforce governance, ethical norms, and scalable processes to improve quality, member experience, and cost outcomes.