Senior/Lead Forward Deployed AI Engineer
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Job Description
Senior AI engineer deploying Claude-powered enterprise workflows and integrations for NewRocket’s ServiceNow customers. Building secure, evaluated, reusable AI solutions across enterprise environments.
Responsibilities:
- Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments
- Translate customer requirements and business processes into technical architectures, implementation plans, and production-ready AI solutions
- Build enterprise AI applications and workflows using Claude, the Anthropic API, and other LLM platforms
- Apply prompt/context engineering, structured outputs, tool use, API integrations, multi-step orchestration, human-in-the-loop patterns, and RAG
- Build demos, prototypes, and proof-of-concept implementations
- Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services
- Implement authentication, authorization, secrets management, access controls, logging, error handling, version control, and documentation
- Develop evaluations, regression tests, safeguards, governance controls, and monitoring for AI applications
- Diagnose and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes
- Optimize deployed systems for reliability, performance, latency, model usage, and cost efficiency
- Contribute reusable components, prompt assets, evaluation frameworks, accelerators, and platform features to NewRocket’s AI products
- Collaborate with consultants, product engineering, data engineers, AI/ML engineers, ServiceNow teams, customers, and the AI Center of Excellence
- Travel approximately 25% and support customer workshops, discovery sessions, demonstrations, pilots, and production rollouts
Requirements:
- 8+ years of experience in software engineering, systems integration, enterprise platforms, workflow automation, or related technical delivery roles
- Hands-on experience in full-stack development, scripting, APIs, microservices, enterprise integrations, or cloud-native applications
- Experience building, deploying, or supporting AI/LLM-powered applications, AI-enabled automations, conversational experiences, RAG systems, or agentic workflows
- Experience integrating APIs, enterprise applications, data platforms, or workflow systems in production environments
- Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages
- Experience with AWS, Microsoft Azure, or Google Cloud
- Familiarity with prompt engineering, context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation
- Understanding of responsible AI concepts, hallucination mitigation, sensitive-data handling, identity and access controls, human oversight, AI safety, and secure AI deployment
- Experience in customer-facing engineering, consulting, technical implementation, solutions architecture, or professional-services roles
- Ability to manage ambiguity, prioritize effectively, travel approximately 25%, and deliver in fast-moving customer environments
- Preferred: hands-on Anthropic API, Claude models, Anthropic Console, Claude Code, or Anthropic implementation experience
- Preferred: ServiceNow development, configuration, workflow automation, or enterprise platform implementation
- Preferred: vector databases, embeddings, document ingestion, chunking, retrieval strategies, LLM orchestration frameworks, AI observability, Docker, CI/CD, SQL, Git, infrastructure-as-code, and secure cloud deployment practices
Benefits:
- Diverse and inclusive workplace
- Equal opportunity workplace and affirmative action employer
- Disability accommodations available upon request
- Anthropic training, partner enablement, and technical education programs as available
- Remote work arrangement
- Travel opportunities/requirements associated with customer delivery
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