Senior/Lead Forward Deployed AI Engineer/Architect – Copilot/Azure

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on NewRocket's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

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NewRocket

501 - 1000 employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

NewRocket is a top global ServiceNow partner, providing a wide range of services and solutions to help enterprise leaders solve complex business problems. They specialize in advisory and transformation services, design and implementation, managed services, and more, focusing on improving customer and employee experiences through the use of the ServiceNow platform. Their solutions include platforms and integrations, security, risk, and resilience, as well as technology excellence. NewRocket serves a variety of industries including education, healthcare, financial services, and the public sector, among others, and is known for their expertise in UI and UX design as well as their ability to enhance workflows and improve business processes efficiently.

📋 Description

• Deploy, configure, and operationalize agentic AI workflows, AI assistants, and AI-powered automations in client ServiceNow and enterprise environments • Translate customer requirements and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions • Implement Agent Packs, AI accelerators, and workflow solutions • Tailor AI solutions to customer operating models, processes, data, security requirements, and user needs • Support workshops, discovery sessions, demonstrations, pilots, and production rollouts • Build enterprise AI applications using Claude, the Anthropic API, and other LLM platforms • Apply prompt and context engineering, structured outputs, tool use, API integrations, orchestration, and human-in-the-loop patterns • Build RAG solutions grounded in authorized enterprise data • Develop demos, prototypes, proof-of-concepts, reusable implementation patterns, prompt libraries, integrations, and deployment assets • Develop secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services • Build scripts, microservices, automation logic, integration services, and lightweight user interfaces • Evaluate AI quality, reliability, safety, latency, cost, and user experience • Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behavior • Monitor and improve deployed solutions based on feedback, performance data, incidents, and customer needs • Contribute to NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, and Agent Packs • Diagnose and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes • Optimize systems for reliability, performance, latency, model usage, and cost efficiency • Collaborate with Business Process Consultants, Product Engineering, Data Engineers, AI/ML Engineers, ServiceNow teams, and the AI Center of Excellence • Deploy autonomous and human-in-the-loop agents using Microsoft Copilot Studio, Azure AI Foundry, and related Microsoft technologies • Develop multi-agent solutions with orchestration, tool calling, contextual memory, and workflow coordination

🎯 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 • Experience with Power Automate and Power BI • Proficiency in JavaScript/TypeScript, Python, or similar programming and scripting languages • 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, 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 to clients as needed, and deliver high-quality solutions in fast-moving customer environments • Experience with Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, vector databases, Python, C#, TypeScript, Jira, Confluence, SmartSheet, and AI orchestration frameworks • ServiceNow experience is a strong plus, including development, configuration, workflow automation, scripting, APIs, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, CMDB, ITSM, CSM, HRSD, knowledge management, and enterprise integrations • Preferred familiarity with Model Context Protocol (MCP) • Familiarity with 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 • Remote work arrangement • Travel opportunities to client sites

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