$ cat jobs/ai-enablement-engineer-revalize-a192f77845a4.json
AI Enablement Engineer
Founded in 2021, Revalize empowers manufacturing businesses to better design, model, develop, and sell—powering greater outcomes across the entire manufacturing value chain. Revalize leads with an AI-forward mindset—using technology as a catalyst, not a compass. We’re shaping the future of manufacturing technology with industry-leading CPQ, PLM, and design solutions that transform data into opportunity and accelerate the journey from idea to cash. Revalize serves more than 16,000 global customers and is a portfolio company of TA Associates and Hg. The AI Enablement Engineer will help build, deploy, and support production AI tools, agents, and workflows used across Revalize. Working closely with business stakeholders and senior engineers, they help translate business needs into secure, reliable, and scalable solutions that integrate with enterprise platforms such as Salesforce and Microsoft 365. The role contributes across the full solution lifecycle - from scoping and development through launch, monitoring, user support, documentation, and continuous improvement - with guidance from more experienced team members. The ideal candidate is building strong software engineering and applied AI skills, brings a practical mindset, and communicates clearly with both technical and non-technical stakeholders. Responsibilities Build and ship AI-powered tools and agents end to end: API integrations, agent workflows, backend services, and lightweight interfaces across our stack (Claude API, n8n, Copilot Studio, Azure AI Foundry, Power Automate) Deploy and operate what you ship in Azure and AWS: manage services, scheduled jobs, capacity, and monitoring; investigate incidents; and support internal users - production means owned, not just launched Integrate AI systems with Salesforce and Microsoft 365, designing within auth and permission models and security-first practices (least privilege, service accounts, audit logging) Develop LLM pipelines that hold up in production: retrieval,
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