Senior/Lead Forward Deployed AI Engineer-Anthropic-US East

Role overview Design and deploy AI-powered workflows for enterprise customers, combining hands-on software engineering, systems integration, and customer-facing solution delivery. You’ll turn business needs into secure, production-ready applications, often within workflow platforms and connected enterprise systems. The role also contributes reusable components and implementation practices that can improve future deployments.

Responsibilities - Discover customer requirements and translate operational processes into technical designs, delivery plans, and deployable AI solutions. - Configure and integrate AI assistants, agent workflows, and automations into enterprise workflow environments and connected systems. - Build generative AI applications using LLM APIs, applying prompt and context design, tool use, structured outputs, and multi-step orchestration. - Develop retrieval-augmented generation solutions grounded in authorized enterprise knowledge, with validation, fallback, and human review where appropriate. - Lead or support customer workshops, prototypes, demonstrations, pilots, and production rollouts; explain capabilities, limitations, and tradeoffs clearly. - Contribute reusable patterns, platform improvements, and customer feedback while helping move use cases from prototype to governed production.

Requirements - At least eight years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery. - Strong hands-on engineering background in full-stack development, scripting, APIs, microservices, integrations, or cloud applications. - Experience building or deploying AI/LLM applications, such as RAG systems, assistants, conversational tools, or agent workflows. - Proficiency in JavaScript/TypeScript, Python, or a comparable language, and experience with a major cloud platform. - Familiarity with embeddings, vector search, retrieval, tool calling, structured outputs, evaluation, and responsible AI practices. - Ability to work directly with customers and communicate technical choices to business and engineering stakeholders.

Nice to have - ServiceNow development or implementation experience, including workflow, integration, or platform capabilities. - Familiarity with ServiceNow data models and areas such as IT service management, customer service, HR workflows, knowledge management, or CMDB. - Experience with AI observability, evaluation frameworks, orchestration libraries, reusable developer tools, or secure CI/CD practices.

Benefits and work setup - Remote role with travel expected at approximately 70%.