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Revalize

AI Enablement Engineer

Remote, United States

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Job details

Experience: 1+ years of experience with AWS and/or Azure (related certifications a plus)
Posting language: English
Posted: Nov 4, 2026

Original job description

Company Description 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.

Job Description

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

Help build and ship AI-powered tools and agents: tool and API integrations, agent workflows, backend services, and lightweight user-facing interfaces
Help operate what you ship: monitor system health, help investigate incidents, and support internal users - with guidance from senior engineers
Contribute to integrations between AI systems and enterprise platforms such as CRM (e.g. Salesforce) and Microsoft 365, working within established auth and permission models
Help develop LLM pipelines: retrieval, structured data 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
Follow security-first practices: least-privilege access, service accounts, and audit logging
Work with business stakeholders to understand requests and help turn ambiguous asks into shippable tools
Help internal users adopt AI tooling: answer questions, run short enablement sessions, and evaluate new tools as they emerge
Write documentation as you build - runbooks and decision notes that let others operate what you made

Qualifications

1+ years building software (internships, academic, or professional projects count), with some exposure to LLM/generative AI features beyond simple prototypes
Working Python skills; familiarity with REST APIs and some exposure to a modern frontend framework (e.g. React with TypeScript)
1+ years of experience with AWS and/or Azure (related certifications a plus)
Experience in LLM tool-calling or agent frameworks, and workflow/automation platforms (e.g. n8n, Power Automate, or similar)
Understanding of LLM fundamentals: RAG, embeddings, structured extraction, prompt design, and judgment about when outputs need human review
Eager to make progress in ambiguous situations and asks good questions rather than waiting for complete specs
Communicates clearly with non-technical colleagues; writes documentation others can actually use

Nice to have

Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration
Exposure to predictive ML (scoring, classification) or evaluation design for AI systems
Salesforce API and data-model experience; Microsoft Graph or Entra ID experience
Manufacturing, CPQ/PLM, or B2B vertical SaaS domain exposure
Experience supporting or training end users on technical tools

Additional Information 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.

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