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Design and deliver enterprise-grade AI/GenAI solutions on Salesforce or ServiceNow. Lead RAG pipelines, LLM workflows, NLP automation, and vector retrieval integrations. Architect scalable API/microservice integrations, ensure performance, security, and reliability, and define AI governance and guardrails. Collaborate with product, engineering, and customers through discovery, workshops, and demos to operationalize AI for Field and Customer Service workflows.

The Release Manager will oversee the complete release lifecycle, emphasizing QA processes, CI/CD pipeline optimization, and effective communication with stakeholders to ensure high-quality software releases.

Lead customer-facing technical implementations of enterprise AI solutions: design architectures, build integrations and scalable backend services (Java/Python), configure RAG and AI agents, troubleshoot production issues, mentor engineers, and collaborate across product, AI research, and customer success to deliver and optimize deployments.

Provide high-level administrative support to senior leaders: manage complex international calendars, coordinate meetings and travel, prepare agendas and materials, track project milestones and action items, coordinate cross-functional initiatives and events, handle confidential communications, and improve administrative processes to increase operational efficiency.

Lead end-to-end technical implementations for enterprise customers: develop Python microservices and APIs, build data ingestion and validation pipelines, integrate LLM/NLP and ML components (RAG/embeddings), deploy services to cloud, ensure reliability and observability, troubleshoot production issues, and collaborate with Customer Success and ML teams while mentoring junior engineers.