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Accenture

Advises businesses and runs their technology

Responsible AI Engineer

AI & Machine LearningPosted on Nov 11
Full-time€33.1k - €46.7k /yrHybrid

About the Job

Requirements

  • Experience in Responsible AI, AI Governance, and Artificial Intelligence, including Agentic AI.
  • Knowledge of enterprise AI architecture and the AIOps lifecycle.
  • Good knowledge of Python.
  • Knowledge of AI safety fundamentals, threat modelling, guardrails, and AI observability.

Responsibilities

  • Design and assess Responsible AI architectures and technical governance solutions, defining evaluation and assurance approaches covering AI quality, safety, robustness, fairness, explainability, privacy, observability, and ongoing monitoring.
  • Evaluate traditional, generative, and Agentic AI systems through model auditing, adversarial testing, and technical assessments to identify vulnerabilities, potential bias, data leakage, and other AI-related risks, and recommend technical controls.
  • Develop Safe AI architectures and AIOps lifecycle practices, partnering with cybersecurity, model risk, and engineering teams on AI threat modelling, guardrails, governance controls, and mitigation strategies.
  • Support Responsible AI projects end to end by contributing to client engagements, technical proposals, reusable reference architectures, playbooks, accelerators, and governance evidence packs, while advising client teams and senior stakeholders.
  • Define AI evaluation and assurance methodologies covering quality, safety, robustness, bias, explainability, privacy, and monitoring.
  • Assess and design Safe AI architectures, AI system architectural practices, and AIOps lifecycle processes.
  • Perform model auditing and adversarial testing of traditional, generative, and Agentic AI using specialized market tools and custom assets, and provide recommendations.
  • Partner with cybersecurity, model risk, and engineering teams on AI threat modelling, data leakage mitigation, and adversarial testing.
  • Shape proposals, reusable reference architectures, playbooks, accelerators, and governance evidence packs.
  • Work with AI and transformation teams to provide strategic guidance, support project delivery, and advise senior leaders.
  • Evaluate algorithms for transparency, fairness, and reliability; manage AI-related risks; and identify opportunities for innovation and value creation.
  • Contribute to global AI standards, develop insights on regulatory trends, and represent the company’s Responsible AI perspective.
  • Drive Responsible AI adoption, influence business outcomes, and help shape industry practices.

Desired Qualifications

  • Experience with AI model governance platforms from major enterprise vendors.
  • Certifications in AI, cloud, security, architecture, ISO/IEC 42001, NIST AI RMF, or related standards.
  • Publications, speaking engagements, or external thought leadership on Responsible AI or AI safety.

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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