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

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

📋 Description

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

• Convert customer requirements and desired outcomes into technical architectures, implementation plans, and production-ready AI solutions.

• Implement Agent Packs, AI accelerators, and workflow solutions.

• Customize AI solutions to align with customer operating models, processes, data, security needs, and user requirements.

• Facilitate workshops, discovery sessions, demonstrations, pilots, and production rollouts.

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

• Employ prompt and context engineering, structured outputs, tool utilization, API integrations, orchestration, and human-in-the-loop methodologies.

• Create RAG solutions based on authorized enterprise data.

• Produce demos, prototypes, proof-of-concepts, reusable implementation patterns, prompt libraries, integrations, and deployment assets.

• Establish secure integrations between ServiceNow, enterprise systems, APIs, data platforms, and AI services.

• Develop scripts, microservices, automation logic, integration services, and lightweight user interfaces.

• Assess AI quality, reliability, safety, latency, cost, and user experience.

• Implement safeguards for sensitive data, permissions, prompt injection, unsafe tool use, and unintended model behaviors.

• Monitor and enhance deployed solutions based on feedback, performance metrics, incidents, and customer needs.

• Contribute to NewRocket Intelligence Platform, Value Realization Dashboard, Data Intelligence Platform, and Agent Packs.

• Troubleshoot and resolve issues across AI workflows, integrations, retrieval pipelines, data connections, and automation processes.

• Optimize systems for reliability, performance, latency, model utilization, and cost-effectiveness.

• 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 associated Microsoft technologies.

• Develop multi-agent solutions featuring orchestration, tool calling, contextual memory, and workflow coordination.

⛳️ Requirements

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

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

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

• Experience in integrating APIs, enterprise applications, data platforms, or workflow systems within production environments.

• Familiarity with Power Automate and Power BI.

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

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

• Understanding of responsible AI principles, sensitive-data management, 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.

• Capability to navigate ambiguity, prioritize effectively, travel to client locations as necessary, and deliver high-quality solutions in dynamic customer environments.

• Familiarity with Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, vector databases, Python, C#, TypeScript, Jira, Confluence, SmartSheet, and AI orchestration frameworks.

• Experience with ServiceNow is a significant advantage, 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 knowledge of Model Context Protocol (MCP).

• Familiarity with 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.

• Disability accommodations available upon request.

• Remote work arrangement.

• Travel opportunities to client sites.