AI Quality Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
Entry level
Information Technology
The Role
Designs and integrates AI-enabled modernization solutions while establishing quality assurance frameworks for AI-generated code, skills, agents, and prototypes. Develops test plans, acceptance criteria, regression suites, automated testing, security scans, and quality gates. Collaborates with DevOps teams on reliable multi-agent workflows, validates prototypes for production readiness, and monitors accuracy, security, compliance, and data-sensitivity risks.
Summary Generated by Built In

                                             AI Quality Engineer

Full-Time | 100% Remote (U.S.)

Overview

The AI Quality Engineer supports a federal customer by helping design and implement AI-enabled solutions, developing and integrating AI capabilities, and ensuring that skills, agents, and AI-generated prototypes meet quality, security, and compliance standards as they move toward production. This work supports broader modernization goals, including automating and streamlining servicing operations, reducing manual processing, improving data quality, aligning with the customer’s modernization standards, and establishing a roadmap toward the eventual retirement of legacy platforms. Success requires a bachelor’s degree (or equivalent experience), demonstrated experience in software quality assurance and test engineering, hands-on experience validating AI-generated code and prototypes, familiarity with CI/CD pipelines and quality gates, strong analytical skills, and excellent written and verbal communication.

Key Functions

  • Design and implement AI-enabled solutions for customer modernization use cases, developing and integrating AI capabilities into existing systems and workflows.
  • Establish and enforce a quality assurance framework — test plans, acceptance criteria, and regression suites — for validating AI-generated code, skills, and agents before they are promoted through the innovation pipeline.
  • Guide the development of reusable AI skills and agents for customer modernization tasks, with particular emphasis on automated testing, security scanning, data sensitivity, and scalability.
  • Collaborate with DevOps engineers to create and orchestrate long-running, multi-agent workflows, ensuring reliability, observability, and recoverability in production environments.
  • Support creation of the innovation pipeline that moves AI-generated (“vibe-coded”) prototypes from sandbox concepts into secure, enterprise-grade applications.
  • Support Value Engineers’ efforts by reviewing and quality-checking prototype outputs for accuracy, reliability, and adherence to standards prior to pipeline promotion.
  • Continuously monitor AI-assisted development outputs for accuracy, reliability, and compliance drift, feeding findings back to Value Engineers and AI Engineers to improve prompts, skills, and agents over time.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
  • Demonstrated experience in software quality assurance, test engineering, or a related discipline, including test plan design and defect management.
  • Hands-on experience testing or validating AI-generated code, prototypes, or “vibe-coded” solutions for accuracy and reliability.
  • Experience with automated testing tools and frameworks (e.g., Selenium) across web and enterprise applications.
  • Experience with one or more of the following: Salesforce, AWS (including Lambda and Redshift), Java, or PostgreSQL, or a comparable enterprise technology stack.
  • Familiarity with CI/CD pipelines and quality gates within modern software delivery practices.
  • Strong analytical skills, with the ability to identify security, data-sensitivity, and compliance risks in AI-assisted solutions.
  • Excellent written and verbal communication skills, with the ability to work across product, engineering, data, and business SME teams.
  • Must be a U.S. citizen and eligible to obtain and maintain a Public Trust clearance / favorable suitability determination.

Preferred Qualifications or Skills

  • Direct experience supporting Federal clients.
  • Experience with FedRAMP authorization processes.
  • Mortgage, fintech, or other regulated industry experience (preferred, not required — willingness to learn quickly is essential).
  • Familiarity with AI safety, governance, and compliance.
  • Ability to use or teach tools such as ChatGPT, Claude, Gemini, Notion, Airtable, Zapier, LangChain, or similar.
  • Experience in startups, consulting, internal strategy, learning & development (L&D), or innovation teams.

Position Details

  • Employment type: Full-Time
  • Location: 100% Remote (US-based)
  • Hours: 8am–5pm ET
  • Eligibility: Must be a U.S. citizen and suitable for, and eligible to obtain and maintain, a Public Trust clearance

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
  • Experience in software quality assurance, test engineering, test plan design, and defect management.
  • Hands-on experience testing or validating AI-generated code, prototypes, or vibe-coded solutions.
  • Experience with automated testing tools and frameworks such as Selenium across web and enterprise applications.
  • Experience with Salesforce, AWS including Lambda and Redshift, Java, PostgreSQL, or a comparable enterprise technology stack.
  • Familiarity with CI/CD pipelines and quality gates.
  • Strong analytical skills for identifying security, data-sensitivity, and compliance risks in AI-assisted solutions.
  • Excellent written and verbal communication skills across product, engineering, data, and business teams.
  • Must be a U.S. citizen and eligible to obtain and maintain a Public Trust clearance or favorable suitability determination.
  • Experience supporting federal clients.
  • Experience with FedRAMP authorization processes.
  • Mortgage, fintech, or other regulated-industry experience.
  • Familiarity with AI safety, governance, and compliance.
  • Ability to use or teach ChatGPT, Claude, Gemini, Notion, Airtable, Zapier, LangChain, or similar tools.
  • Experience in startups, consulting, internal strategy, learning and development, or innovation teams.
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The Company
HQ: Arlington, Virginia
78 Employees
Year Founded: 2015

What We Do

There's one way to sum up what we believe at PhoenixTeam - time is of the essence. Mortgage technology delivery is unique. The intense pressure to deliver a digital customer experience, while also meeting regulatory requirements, while also reducing operational expense, and also reducing the cost to originate the loan... It goes on and on. Does your team have a sense of urgency? Are you sure they are working on the right things? How do you know the teams can deliver the outcomes you need? Are your teams telling you the problems? Are they able to detect and escalate the right issues? You can count on PhoenixTeam to get to the heart of the matter quickly and help you get the mortgage technology outcomes you need.

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