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Agentic AI Quality Engineer

Accenture

Amsterdam
Full-time
2-5 years experience
Hybrid

Key Skills

Agentic AI
Python
MLflow
Galileo
PyRIT
Prompt engineering
Vector databases
Tool schema design
Execution telemetry
Adversarial testing
Threat modeling
Model safety guardrails
Machine learning QA
AI evaluation engineering
MLOps engineering
Strategic thinking

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.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Core Responsibilities

Lead the quality and performance evaluation of agentic AI systems, including automated testing of reasoning accuracy, safety guardrails, and adversarial security. Collaborate with multidisciplinary teams to embed evaluation frameworks into CI/CD pipelines and provide strategic guidance on AI governance and risk mitigation.

Requirements

Requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field with 3+ years of experience in ML QA or AI evaluation. Candidates must possess strong Python proficiency, expertise in AI evaluation tools, and professional proficiency in both Dutch and English.

Benefits

  • 4x9 Workweek option
  • Hybrid working
  • FlexDay
  • Competitive base salary
  • MyBenefits budget
  • Annual bonus
  • Net allowance
  • Employee share purchase plan
  • Collective health insurance scheme
  • Mental health support
  • Well-being hub
  • 26 vacation days
  • Special leave types
  • NS Business card
  • Mobility budget
  • Performance achievement program
  • Learning & development platform
  • Do good volunteer program
  • I&D networks
  • Refugee talent track
  • Accentrics & Friday drinks
  • Annual Accenture NL party

About Accenture

Industry: Business Consulting and Services

Company size: 10,001+ employees

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.

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