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Accenture

Advises businesses and runs their technology

Responsible AI Consultant

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A bachelor's degree in Law, Computer Science, Engineering, Data Science, Information Systems, or a related discipline is required; a master's degree or relevant postgraduate qualification is an advantage.
  • At least 3 years of relevant experience in AI governance, regulatory compliance, risk management, or a related area, with hands-on exposure to AI system lifecycle practices and data or software engineering environments.
  • Working knowledge of the EU AI Act, including its classification framework, conformity assessment requirements, and obligations for providers and deployers.
  • Hands-on experience with one or more AI governance platforms: IBM watsonx.governance, Credo AI, OneTrust, ServiceNow, or SAS.
  • Understanding of AI risk methodologies applicable to ML, GenAI, and Agentic AI systems, including bias assessment, transparency requirements, and human oversight controls.
  • Experience with agentic AI, including context engineering, agent memory patterns, or multi-agent solutions.
  • Working knowledge of cloud environments (GCP, AWS, Azure) as they relate to AI system deployment and governance controls.
  • Programming skills in Python, with experience integrating APIs and processing structured and unstructured information.
  • Knowledge of GDPR and its intersection with AI system obligations, including data minimization, purpose limitation, and automated decision-making requirements.
  • Strong analytical and communication skills, with the ability to translate regulatory requirements into operational controls and work effectively with technical and non-technical stakeholders.

Responsibilities

  • Map client AI systems against AI regulatory requirements, including prohibited practice identification, high-risk classification, conformity assessment obligations, and Article 4 AI literacy requirements.
  • Design and implement AI governance operating models, including RACI structures, lifecycle gates, escalation pathways, and accountability frameworks tailored to the client’s organizational structure.
  • Conduct AI risk assessments using structured methodologies, covering technical, legal, ethical, and operational risk dimensions across ML, GenAI, and Agentic AI systems.
  • Support ISO/IEC 42001 readiness assessments and implementation planning, including gap analysis, controls design, and preparation for third-party certification.
  • Develop regulatory obligation registers and translate them into actionable compliance requirements mapped to AI system components, roles, and processes.
  • Configure and use AI governance platforms, including IBM watsonx.governance, Credo AI, OneTrust, and ServiceNow, to operationalize monitoring, audit trails, and compliance documentation.
  • Design and deliver AI literacy programmes addressing Article 4 obligations, including role-based training content, competency frameworks, and delivery mechanisms.
  • Support proposal development, client workshops, and governance design sessions as a technical subject matter contributor.
  • Support clients in building the governance structures, regulatory frameworks, and operational controls needed to deploy AI responsibly.
  • Help clients translate regulatory obligations into implementable controls and embed responsible AI practices across AI programmes.
  • Work across AI regulatory compliance, AI risk methodology, governance operating model design, regulatory obligation mapping, and AI literacy, supporting governance framework design and integration into live AI development and deployment processes.

Desired Qualifications

  • Experience with enterprise metadata and catalog platforms such as Alation, Collibra, Microsoft Purview, or Informatica.
  • Familiarity with data modelling and data architecture principles, with exposure to cloud data platforms.
  • Familiarity with ISO/IEC 42001 and its application to AI management system design and implementation.
  • IAPP AIGP certification or active pursuit of it.
  • Familiarity with DORA obligations as they apply to AI-driven financial systems.
  • Experience with BPM tooling (Camunda) or workflow automation in compliance contexts.
  • Relevant AI or cloud certifications, including Azure AI Fundamentals, AWS Cloud Practitioner, or equivalent.
  • Exposure to security analysis practices (SAST, DAST, SCA) as applied to AI system assurance.

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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