The role involves designing, developing, and optimizing autonomous AI-powered implementation solutions to transform customer delivery processes. The engineer will build and refine AI agents that automate configuration tasks, generate implementation artifacts, and accelerate deployment timelines. Responsibilities include creating prompt chains, orchestration patterns, and validation logic to ensure outputs meet enterprise quality standards. The position requires integrating these AI solutions with internal delivery systems and professional services workflows. Additionally, the engineer will analyze performance metrics to drive continuous improvement and collaborate with cross-functional teams to align AI capabilities with business goals.

Candidates must possess at least five years of experience in software engineering, AI/ML engineering, or technical consulting within enterprise environments. A minimum of two years of hands-on experience building production systems using large language models, prompt engineering, and AI agent development is required. Applicants need a strong understanding of professional services delivery operations and proficiency in programming languages such as Python, JavaScript, or TypeScript. While no specific degree is mentioned, the role requires expertise in API design, system integration, and ServiceNow platform architecture.