Lead AI Engineer - Agentic Test Automation

Job Summary

Fully onsite in McLean, VA.

Location:

Tysons, Virginia. Job Type: Contract. Salary: $100 - 105 per hour.

Work Hours:

9am to 5pm.

Education:

Bachelors.

• Agentic test automation foundation (reusable patterns + reference implementations)
  • Design and implement agentic testing patterns that can be adopted by multiple Underwriting teams (and later other domains).
  • Create reference implementations (sample repos / templates) demonstrating:
    • Test generation assistance (from requirements, APIs, contracts, schemas)
    • Test maintenance assistance (auto-updating selectors/contracts, flaky test triage)
    • Failure analysis assistance (root cause suggestions, log correlation, defect drafting)
  • Establish a standard architecture for test code organization, tagging, data management, and execution across UI + API + service layers.
• Coverage standards, templates, and governance
  • Define and publish coverage standards (what "good" looks like) including:
    • Minimum coverage expectations by service/component
    • Test type mix (unit vs API vs UI vs contract vs integration)
    • Risk-based prioritization and traceability to requirements
  • Provide templates usable across teams:
    • Test plan templates
    • Test case/spec templates (Gherkin-style or equivalent)
    • Definition of Ready / Definition of Done quality checklists
  • Create a scalable tagging/metadata strategy (e.g., feature, service, risk, priority, data sensitivity) to support reporting and quality gates.
• GenAI-assisted reporting and quality insights across microservices
  • Build automated reporting that aggregates test + service data across multiple microservices, such as:
    • Test execution results (Karate/Playwright + CI runs)
    • Service health signals (logs/metrics/traces if available)
    • Defect signals (issue tracker metadata if available)
  • Generate GenAI-driven summaries
    :
    • Release readiness narratives
    • Failure clustering and trend analysis
    • "What changed?" insights (commit/PR correlation)
  • Produce outputs consumable by engineering leadership and teams (dashboards, markdown summaries in PRs, artifacts in CI).
• "Quality gates" via agents
  • Build automated review agents that evaluate user stories/requirements for minimum required clarity and data before development/testing starts:
    • Required fields present (acceptance criteria, testable outcomes, data needs, dependencies)
    • Ambiguity detection and missing edge cases
    • Data/privacy considerations and environment needs
  • Integrate gates into workflow (PR checks, issue templates, Git Hub Actions) to reduce churn and rework

• GenAI / LLM + agentic development
  • Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning, guardrails).
  • Experience with prompting patterns, structured outputs (JSON schemas), evaluation, and reducing hallucinations.
  • Ability to design agent workflows for:
    • Test generation/augmentation
    • Requirements review and completeness validation
    • Report generation and summarization
• Git Hub platform + GHCP (Copilot) for engineering workflows
  • Strong proficiency with Git Hub Copilot in day-to-day development.
  • Deep experience with Git Hub platform capabilities:
    • Git Hub Actions (CI/CD pipelines, reusable workflows, composite actions)
    • PR checks, branch protections, CODEOWNERS, templates
  • Automation via Git Hub APIs/webhooks (as needed)
• Test automation engineering (framework expertise)
  • Advanced experience designing and implementing automation with:
    • Karate (API testing, contract-like checks, data-driven testing, mocks)
    • Playwright (UI automation, selectors strategy, parallelization, trace/video artifacts)
  • Strong understanding of test design and coverage:
    • Happy path scenarios
    • Negative/validation scenarios
    • Edge/boundary scenarios
    • Data setup/teardown strategies and test isolation
  • Cross-service reporting and data aggregation
  • Proven ability to aggregate and normalize results from multiple microservices and multiple pipelines.
  • Experience producing actionable automated reports (trend analysis, failure clustering, service correlation).
• Automated requirements review agents
  • Experience implementing automated checks that validate:
    • Acceptance criteria completeness
    • Required test data and environment dependencies
    • Non-functional requirements (performance, security, observability) when applicable

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At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance…