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, structured extraction, scoring logic, prompt and tool design, and validation of outputs before they touch business systems Use AI coding tools as a core working method, reviewing and governing their output to production quality - this team builds with AI, not just about it Work directly with stakeholders across the business to scope requests, set expectations, and turn ambiguous asks into shippable tools Document as you build - runbooks and decision notes that let others operate what you made 3+ years building software, with hands-on experience shipping LLM/generative AI features or systems beyond prototypes Solid Python; working familiarity with REST APIs and at least one modern frontend framework (e.g. React with TypeScript) Strong hands-on experience deploying and managing cloud solutions on Azure and/or AWS: services, functions or containers, scheduled jobs, monitoring, debugging from logs, and cost awareness Hands-on experience with LLM tool-calling or agent frameworks, and with workflow/automation platforms (n8n, Power Automate, or similar) Applied LLM fundamentals: RAG, embeddings, structured extraction, prompt design, and judgment about when outputs need human review Experience integrating with at least one major enterprise platform (CRM, ERP, or Microsoft 365 APIs) Nice to have Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration Azure or AWS certifications, or infrastructure-as-code experience (Terraform, Bicep) Exposure to predictive ML (scoring, classification) or evaluation design for AI systems Salesforce API and data-model experience; Microsoft Graph or Entra ID experience Experience supporting or training end users - AI Champions work, past enablement experience, or teaching colleagues new tools Shifts quickly in ambiguous situations and asks good questions rather than waiting for complete specifications Communicates clearly with non-technical colleagues; writes documentation others can actually use All your information will be kept confidential according to EEO guidelines. Qualified applicants will be asked to complete a 30-minute online assessment as a part of your application. Revalize designates standard working hours as 8:00 am to 5:00 pm Eastern Time (ET) for employees based in the United States and 08:00 to 17:00 Central European Time (CET) for employees operating within the EMEA region. Revalize is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Revalize participates in the E-Verify program in certain locations, as required by law. The compensation offered to the successful candidate will be based on a variety of factors, including but not limited to, the candidate’s work experience, education and licenses, work-related training, key skills, the core duties of the role and its associated responsibilities, additional benefits offered, and the location where the work will be performed. All fulltime (30+ hours) employees are eligible for PTO, Sick and Parental Leave; Medical, Dental, and Vision Insurance; 401(k) Plan; Health Savings Account; Life Insurance; Employee Assistance Program. This is a full-time, bonus eligible position. Base Salary is one part of our competitive total compensation and benefits package and is determined using a range. The listed compensation range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. Qualified applicants will be asked to complete a 30 minute online pre-employment assessment as part of the recruitment process.