AI Enablement Engineer

Revalize • Reston, VA

2d

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, scalable solutions integrated with enterprise platforms such as Salesforce and Microsoft 365. With guidance from experienced team members, the position contributes throughout the solution lifecycle, including scoping, development, launch, monitoring, user support, documentation, and continuous improvement. The ideal candidate is developing software engineering and applied AI skills, takes a practical approach, and communicates clearly with technical and non-technical stakeholders.

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, prompt design, and when outputs require 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 ML, such as scoring or classification, or to 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 delivered 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, using established authentication and permission models.
• Help develop LLM pipelines involving 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 work.

Benefits

• Paid time off, sick leave, and parental leave for full-time employees working 30 or more hours.
• Medical, dental, and vision insurance.
• 401(k) plan.
• Health Savings Account.
• Life insurance.
• Employee Assistance Program.
• Bonus eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed