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Accenture

Advises businesses and runs their technology

Agentic AI Quality Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeAmsterdam, Netherlands

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field.
  • At least 3 years of experience in machine learning quality assurance, AI evaluation engineering, or MLOps engineering.
  • Dutch language proficiency at B2 or higher for collaboration with Dutch-speaking clients and stakeholders.
  • English language proficiency at C2.
  • Experience evaluating autonomous agents, multi-step workflows, or Retrieval-Augmented Generation applications.
  • Strong Python proficiency and experience with AI evaluation tools such as MLflow, Galileo, and PyRIT.
  • Deep knowledge of prompt engineering, vector databases, tool schema design, and execution telemetry.
  • Hands-on experience in adversarial testing, threat modeling, or model safety guardrails.
  • Strong communication and technical leadership, a growth mindset, and commitment to continuous innovation.

Responsibilities

  • Automate evaluation of multi-turn conversations and long-horizon tasks using metrics for reasoning accuracy, evidence grounding, plan execution, latency, token usage, and recovery.
  • Apply schema validation, tracing, and calibrated large language model-as-a-judge frameworks to detect inaccurate tool calls, loops, and misuse.
  • Implement filters and golden datasets to test harmful content, policy violations, hallucinations, bias, and brand drift.
  • Use human-in-the-loop review for high-risk edge cases.
  • Run red-team, prompt-injection, jailbreak, privacy, and personally identifiable information leak tests across agent workflows.
  • Analyze failures in model logic and application programming interface integrations to identify root causes and controls.
  • Embed test harnesses in continuous integration and continuous delivery pipelines and monitor production telemetry for regressions, behavioral drift, and recovery.
  • Maintain evaluation data lineage, versioning, curation, and golden responses.
  • Translate business risks into measurable quality criteria, practical controls, and release recommendations.
  • Align stakeholders on user journeys, edge cases, thresholds, mitigations, testability, observability, governance, and evaluation strategy.
  • Communicate findings and residual risks for go/no-go decisions; coach teams and share reusable assets and standards.

Desired Qualifications

  • TMAP or ISTQB certification.
  • Contributions to open-source projects or engineering communities.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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