Lead Automations Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Automations Analyst based in United States. This is a senior individual contributor role focused on turning customer success challenges into scalable, production-ready AI solutions. You will own the full lifecycle of AI workflow development, from problem discovery and solution design through deployment, monitoring, and iteration. Working within an internal AI platform, you will build orchestrators, sub-agents, skills, prompts, and knowledge systems that improve advisor and customer experiences. Your work will span the complete customer interaction lifecycle, including pre-call preparation, real-time guidance, post-call analysis, and automated follow-ups. You will collaborate closely with Revenue Operations, Quality Assurance, Success leadership, and engineering teams to identify platform gaps and deliver impactful solutions. As a senior technical voice, you will establish standards for AI solution quality, testing, observability, and orchestration across the function. The role offers significant ownership and growth potential for an AI-focused professional who is curious, pragmatic, and energized by rapidly evolving technology. Own the end-to-end delivery of AI solutions, translating customer success problems into solution designs, building workflows, defining success criteria, and deploying solutions into production. Design and develop orchestrators, sub-agents, skills, prompts, and knowledge-base components that enable AI-powered workflows. Establish feedback and evaluation mechanisms, including user signals, logs, and quality metrics, to measure solution performance and identify opportunities for improvement. Monitor production AI solutions for quality drift and continuously iterate based on advisor, customer, and evaluation feedback. Design AI workflows across the full customer interaction lifecycle, including pre-call preparation, in-call guidance, post-call grading, summaries, transcription-driven follow-ups, and internal knowledge retrieval. Identify gaps in AI platform capabilities and partner with Revenue Operations and engineering teams to define requirements, acceptance criteria, edge cases, and expected business impact. Participate in technical design reviews, validate new platform capabilities, and integrate them into production solutions once available. Partner with Quality Assurance and Success leadership to prioritize fixes, enhancements, and new AI workflows based on evaluation data, business impact, and customer needs. Establish technical standards and reusable patterns for AI solution design, testing, deployment, observability, model selection, orchestration, and prompt architecture. Create documentation and playbooks that improve consistency, quality, and onboarding across the AI automation function. Stay current with developments in LLM behavior, model releases, orchestration approaches, evaluation techniques, and emerging AI tooling. Conduct experiments with new models and AI techniques and share relevant findings with Success, Quality Assurance, and engineering stakeholders. Requirements 7+ years of experience in AI/ML solution development, technical product management, prompt engineering, automation engineering, applied AI, or a closely related field involving end-to-end solution ownership. Strong curiosity and a self-directed learning mindset, with the ability to continuously develop expertise as AI technologies and best practices evolve. Practical understanding of LLM behavior, including prompt design, orchestration patterns, model selection, common failure modes, and evaluation approaches. Strong understanding of databases and how data moves between interconnected systems. Ability to read and understand code sufficiently to troubleshoot integrations, understand systems running within an AI platform, and engage in substantive technical discussions with engineers. Demon