Senior/Lead Forward Deployed AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Deploy, configure, and operationalize agentic AI workflows, assistants, and automations within customer ServiceNow and enterprise settings.

• Convert customer needs and business processes into technical architectures, implementation strategies, and production-ready AI solutions.

• Integrate Agent Packs, AI accelerators, workflow solutions, APIs, enterprise applications, data platforms, identity systems, repositories, databases, and AI services.

• Assist in workshops, discovery sessions, technical working sessions, demonstrations, pilots, and production deployments.

• Develop enterprise AI applications leveraging Claude, the Anthropic API, and other LLM platforms.

• Utilize prompt/context engineering, structured outputs, tool use, API integrations, orchestration, human-in-the-loop patterns, and RAG.

• Create demos, prototypes, and proof-of-concept implementations; iterate based on feedback and performance metrics.

• Design secure supporting components, including scripts, microservices, automation logic, integration services, and lightweight interfaces.

• Implement authentication, authorization, secrets management, access controls, logging, error handling, version control, documentation, security, scalability, and observability.

• Develop evaluations, test cases, datasets, success metrics, regression testing, safeguards, governance documentation, and monitoring solutions.

• Troubleshoot and optimize AI workflows, retrieval pipelines, data connections, model behavior, tool execution, permissions, reliability, latency, usage, and cost.

• Contribute reusable assets, integration components, prompt patterns, evaluation frameworks, accelerators, product feedback, playbooks, and reference architectures.

• Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, the AI Center of Excellence, customers, and delivery teams.

⛳️ Requirements

• Over 8 years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or other related technical delivery roles.

• Proven hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications.

• Experience in building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows.

• Familiarity with integrating APIs, enterprise applications, data platforms, or workflow systems in production settings.

• Proficiency in JavaScript/TypeScript, Python, or comparable programming and scripting languages.

• Experience with AWS, Microsoft Azure, or Google Cloud.

• Knowledge of prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.

• Understanding of responsible AI, sensitive data management, identity and access controls, human oversight, AI safety, and secure AI deployment.

• Background in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles.

• Ability to navigate ambiguity, prioritize effectively, travel approximately 25%, and articulate complex technical concepts clearly.

• Preferred: Experience with Anthropic API, Claude, Anthropic Console, Claude Code, MCP, ServiceNow, vector databases, embeddings, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices.

🏝️ Benefits

• A diverse and inclusive workplace.

• An equal opportunity workplace and affirmative action employer.

• Availability of disability accommodations.