Responsibile AI Specialist

We build and scale AI and data capabilities globally; advance AI and data training across Accenture; and develop cutting-edge methods for designing, building and delivering the most modern AI and data foundation in the technology stack and embedding AI and data across the enterprise, powered by Accenture’s Center for Advanced AI. Bring your innovative vision to Accenture With your experience, you can reinvent entire industries while working with the world’s leading companies. Shape the future of business and technology by developing cutting-edge solutions that can create new value. Who We're Looking For: We are seeking curious, analytical, and motivated professionals who want to build or strengthen their expertise in AI Governance, AI Risk, Safety, Trust, and Assurance. We welcome candidates from diverse academic backgrounds, including:
• Economics, Finance, Business, and Risk Management
• Law, Political Science, and International Relations
• STEM: Engineering, Computer Science, Mathematics, Statistics, Physics, and Data Science
• Humanities and Social Sciences: Philosophy, Ethics, Psychology, Sociology, and related disciplines.
• Experienced professionals (3–5 anni): professionals with experience in AI Governance, Risk Management, Technology Risk, Compliance, or related areas, ready to take ownership of more complex client challenges. You do not need to be a developer or a regulatory expert. What matters is your passion for AI, analytical mindset, curiosity, and willingness to learn. Locations Milan, Rome Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the job level is B2 under the Metalmeccanico (C011) National Collective Bargaining Agreement. The gross annual salary range is between 33.058,74€ and 46.700€. The Work: Working with multidisciplinary and international teams, you will support leading organizations in turning AI governance and risk management into practical enablers of trust, innovation, and business value. You can be expected to:
• AI Governance & Risk Management: design governance frameworks, risk assessments, operating models, accountability structures, policies, and procedures.
• AI Safety & Trust: identify and address risks related to traditional, generative, and agentic AI, supporting safe and trustworthy design, deployment, and use.
• AI Assurance & Controls: define risk-based controls, testing, monitoring, evidence, and assurance approaches across the AI lifecycle.
• AI Regulation & Standards: translate the EU AI Act, GDPR, DORA, ISO/IEC 42001, NIST AI RMF, and related frameworks into practical governance and risk management solutions.
• Responsible AI Transformation: embed responsible AI practices into business processes, technology solutions, decision-making, and organizational change.
• Client Delivery & Thought Leadership: contribute to client engagements, proposals, reusable assets, market insights, and the evolution of Responsible AI practices. Our ambition is not simply to ensure compliance, but to make AI risk management a real enabler of trust, innovation, and business value. Requirements & Skills
• A degree in Economics, Law, STEM, Humanities, Social Sciences, or a related discipline.
• Relevant academic or professional exposure to AI, risk management, governance, technology, regulatory, or compliance topics.
• Strong analytical, problem-solving, communication, and presentation skills.
• Excellent English and Italian, with the ability to work in international, multidisciplinary teams.
• A genuine interest in emerging technologies and their impact on businesses and society. Nice to Have
• Hands-on experience in governance frameworks, risk assessments, controls, consulting, organizational design, or technology transformation.
• Knowledge of AI regulations, international risk management standards, AI assurance methodologies, or governance platforms.
• Certifications related to AI, risk, privacy, security, ISO/IEC 42001, NIST AI RMF, or comparable standards.
• Experience working with senior stakeholders and translating complex requirements into pragmatic operating solutions.