AI Enablement Engineer

Revalize•Reston, VA

21h

About The Position

The AI Enablement Engineer helps build, deploy, and support production AI tools, agents, and workflows used across Revalize. Working with business stakeholders and senior engineers, the role translates business needs into secure, reliable, and scalable solutions that integrate with enterprise platforms such as Salesforce and Microsoft 365. The position contributes across the solution lifecycle, including scoping, development, launch, monitoring, user support, documentation, and continuous improvement, with guidance from more experienced team members. The ideal candidate is developing software engineering and applied AI skills, has a practical mindset, and communicates clearly with technical and non-technical stakeholders. Revalize is a manufacturing technology company serving more than 16,000 global customers, with CPQ, PLM, and design solutions.

Requirements

At least 1 year building software; internships, academic projects, and professional projects count.
Some exposure to LLM or generative AI features beyond simple prototypes.
Working knowledge of Python.
Familiarity with REST APIs and some exposure to a modern frontend framework, such as React with TypeScript.
At least 1 year of experience with AWS and/or Azure.
Experience with LLM tool-calling or agent frameworks and workflow or automation platforms such as n8n or Power Automate.
Understanding of LLM fundamentals, including RAG, embeddings, structured extraction, and prompt design, and judgment about when outputs need human review.
Ability to make progress in ambiguous situations and ask questions rather than wait for complete specifications.
Clear communication with non-technical colleagues and ability to write usable documentation.

Nice To Haves

Related AWS or Azure certifications.
Experience with MCP servers, the Anthropic/Claude ecosystem, or enterprise AI platform administration.
Exposure to predictive machine learning, such as scoring or 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.

Responsibilities

Help build and ship AI-powered tools and agents, including tool and API integrations, agent workflows, backend services, and lightweight user-facing interfaces.
Help operate deployed solutions by monitoring system health, investigating incidents, and supporting internal users with guidance from senior engineers.
Contribute to integrations between AI systems and enterprise platforms such as Salesforce and Microsoft 365, following established authentication and permission models.
Help develop LLM pipelines for retrieval, structured data extraction, scoring logic, prompt and tool design, and validation of outputs before they reach business systems.
Use AI coding tools as a core working method and review and govern their output to production quality.
Follow security-first practices, including least-privilege access, service accounts, and audit logging.
Work with business stakeholders to understand requests and help turn ambiguous needs into shippable tools.
Help internal users adopt AI tooling by answering questions, running short enablement sessions, and evaluating emerging tools.
Write documentation while building, including runbooks and decision notes that enable others to operate the solutions.