Key Skills

Job Description

Lead with expertise, drive innovation. Are you an experienced professional ready to take your career to the next level? At Accenture the Netherlands, we're seeking an Agentic AI Quality Engineer who brings deep expertise, strategic thinking, and a passion for innovation to help us solve complex challenges and deliver exceptional results. What you'll do: Quality & Performance Evaluation 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 LLM-as-a-Judge frameworks to detect inaccurate tool calls, loops, and misuse. Safety & Compliance Guardrails 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. Adversarial Security & Red Teaming Run red-team, prompt-injection, jailbreak, privacy, and PII-leak tests across agent workflows. Analyze failures in model logic and API integrations to identify root causes and controls. MLOps & Production Monitoring Embed test harnesses in CI/CD and monitor production telemetry for regressions, behavioral drift, and recovery. Maintain evaluation data lineage, versioning, curation, and golden responses. Consulting & Collaboration 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. What Success Looks Like (KPIs) Safety: Zero critical production incidents. Automation: High coverage of non-deterministic agent paths. Speed: Rapid regression detection and remediation after model updates. Industry Context & Methodology Alignment Treat non-determinism as a core characteristic. As the Data Science Collective notes, robust testing verifies correct reasoning, grounded evidence, scoped actions, and safe, compliant decisions. Drive continuous optimization by embedding evaluation in CI/CD, using tunable judges, aligned scorers, automated dataset updates, and dashboards, as outlined by Databricks. How We Reinvent At Accenture, our teams operate within one of our core service lines— Digital Core, Industry & Enterprise, Supply Chain & Engineering, Cybersecurity, Song, Finance, Talent, Client Groups, Global Operations, Reinventions Services —each designed to drive reinvention at scale. This role falls under Digital Core, where we help clients modernize their technology foundations and accelerate business transformation through cloud, data, software engineering, and AI. You will join multidisciplinary teams consisting of quality engineers, software engineers, architects, AI specialists, platform engineers, and business consultants. Together, we help organizations reinvent how software is designed, built, tested, deployed, and operated through the power of AI. We go to market by industry, leveraging our global delivery network and strategic partnerships with ecosystem leaders like Microsoft, AWS, and Google. Our culture of shared success and continuous learning ensures that every team member contributes to—and benefits from—our reinvention journey. What we're looking for: Education: Bachelor’s or Master’s in Computer Science, Data Science, or a related quantitative field. Experience: 3+ years in machine learning QA, AI evaluation engineering, or MLOps engineering. Language(s): Dutch – B2+ for collaboration with Dutch-speaking clients and stakeholders. English – C2. Skills: Agentic AI Expertise: Experience evaluating autonomous agents, multi-step workflows, or Retrieval-Augmented Generation (RAG) applications. Technical Stack: Strong Python proficiency and experience with AI evaluation tools such as MLflow, Galileo, and PyRIT. Framework Mastery: Deep knowledge of prompt engineering, vector databases, tool schema design, and execution telemetry. Security Mindset: Hands-on experience in adversarial testing, threat modeling, or model safety guardrails. Leadership: Strong communication, technical leadership, a growth mindset, and commitment to continuous innovation. Bonus points for: TMAP or ISTQB Certification Contributions to open-source projects or engineering communities What we offer: Work-Life Flexibility: 4x9 Workweek Option, Hybrid Working, FlexDay Financial Well-being: Competitive Base Salary, MyBenefits Budget, Annual Bonus, Net Allowance, Employee Share Purchase Plan Health & Wellness: Collective Health Insurance Scheme, Mental Health Support, Well-being Hub Time Off & Leave: 26 Vacation Days, Special Leave Types (parental leave, partner leave, bereavement leave, and gender affirmation leave), Culture Days Mobility & Commuting: NS Business Card, Mobility Budget (option to choose between electric bike, car lease, or public transport reimbursement) Career Development: Performance Achievement Program, Learning & Development Platform, Guidance from People Leads Inclusion, Diversity & Social Impact: Do Good Volunteer Program, I&D Networks, Refugee Talent Track Culture & Community: Accentrics & Friday Drinks, Annual Accenture NL Party, Flat Organizational Hierarchy Ready to lead and innovate? Apply today and become a Reinventor at Accenture the Netherlands.

Core Responsibilities

Build and automate evaluations for agent conversations and workflows, covering reasoning, grounding, execution, performance, safety, and security; embed test harnesses in CI/CD and monitor production for regressions and behavioral drift. Translate business risks into measurable quality criteria and release recommendations, align stakeholders on evaluation and governance, and communicate residual risks for go/no-go decisions.

Requirements

A bachelor’s or master’s degree in Computer Science, Data Science, or a related quantitative field and at least three years of experience in machine learning QA, AI evaluation engineering, or MLOps engineering are requested. Candidates should have strong Python skills, experience evaluating agents or RAG applications, familiarity with tools such as MLflow, Galileo, and PyRIT, and hands-on knowledge of adversarial testing or model safety; Dutch at B2+ and English at C2 are required.

Benefits

• Flexible 4x9 Workweek
• Hybrid Working
• Flex Day
• Competitive Base Salary
• Benefits Budget
• Annual Bonus
• Net Allowance
• Employee Share Purchase Plan
• Collective Health Insurance
• Mental Health Support
• Well-Being Hub
• 26 Vacation Days
• Special Leave
• Culture Days
• NS Business Card
• Mobility Budget
• Performance Achievement Program
• Learning and Development Platform
• People Lead Guidance
• Volunteer Program
• Inclusion and Diversity Networks
• Refugee Talent Track
• Company Social Events