AI Enablement Analyst

Revalize•Reston, VA

About The Position

The AI Enablement Analyst is a hands-on, execution-focused role responsible for building, testing, and deploying practical AI-powered solutions across Revalize. This role supports the company’s AI transformation by helping teams automate work, improve efficiency, and unlock new capabilities using modern AI and automation tools. You will work as part of a small, strategic AI team and collaborate with stakeholders across Professional Services and other business functions to understand problems, assess opportunities, and deliver working AI-enabled solutions. This role is ideal for an early-to-mid career engineer who is excited to learn quickly, experiment responsibly, and apply AI in real-world business environments.

Requirements

1–4 years of experience in a technical role (software engineering, automation, solutions engineering, data engineering, or similar)
Hands-on experience working with LLMs and Generative AI tools to build functional solutions
Familiarity with common GenAI use cases: summarization, extraction, classification, routing, and content generation
Understanding of AI limitations (hallucinations, context limits, latency, cost) and how to design around them
Experience with Microsoft platforms including Azure, Foundry, Copilot, Teams, and Power Platform
Experience building automation workflows using tools such as n8n or similar
Experience working with APIs, MCP, webhooks, databases, and system integrations
Ability to write and modify basic scripts in JavaScript and/or Python
Comfort working in ambiguous, evolving environments with a bias toward action over over-planning
Strong collaboration and communication skills across technical and business audiences

Responsibilities

Build, test, and deploy practical AI-powered solutions across Revalize
Automate workflows and business processes to improve team efficiency
Collaborate with stakeholders across Professional Services and other business functions to gather requirements and assess opportunities
Design, test, and refine prompts and AI-driven workflows to improve output quality and reliability
Evaluate when AI is the right solution versus traditional automation or rules-based approaches
Integrate AI services into workflows, tools, and applications beyond simple chat interfaces
Work with data from multiple sources (documents, forms, systems, APIs) and shape it for AI use
Build solutions that align with enterprise security and governance expectations
Translate business requirements and feedback into working solutions iteratively