Top Natural Language Processing Jobs in Boston, MA

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Lead backend architecture and development of scalable, secure microservices and data pipelines using Java, Python, and GCP. Integrate LLMs/AI, enforce application security, mentor engineers, run design reviews, and drive AI-assisted tooling adoption.

The Director of Data Science leads multiple teams, focusing on Azure architecture and cloud modernization, while mentoring architects, promoting a strong engineering culture, and connecting business goals to technical solutions.

Lead delivery of large-scale virtual assistant deployments, act as single point of accountability for clients, advise Fortune 500 customers on customer service transformation, monitor success metrics, collaborate with engineering and sales, drive expansion, and improve agent design and operational processes.

The Product Marketing Manager will drive go-to-market strategies, create messaging for product launches, enable sales teams, and analyze market trends. They will collaborate with various teams and translate customer insights into actionable strategies.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.

Build and scale real-time backend systems for AI Agents, including orchestration, memory and context management, low-latency inference pipelines, eval frameworks, event-driven workflows, APIs (REST/gRPC), and production-grade observability, partnering with Applied AI and product teams to deploy multi-tenant, enterprise AI agent platforms.

The role involves researching, writing, editing, and proofreading content across various media, while maintaining consistency and following company guidelines.

The Commercial Account Executive will expand the customer portfolio, manage the sales cycle, build relationships, and achieve revenue goals in a cybersecurity context.

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.