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.Your role and opportunitiesJoin Accenture’s Global Responsible AI team and help organizations design, deploy and operate AI responsibly, addressing the technical challenges emerging from traditional, generative and Agentic AI systems.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, performing model auditing, adversarial testing and technical assessments to identify vulnerabilities, potential bias, data leakage and other AI-related risks, and recommend appropriate 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, contributing to client engagements, technical proposals, reusable reference architectures, playbooks, accelerators and governance evidence packs while acting as a trusted technical advisor to client teams and senior stakeholders.The role may require travel depending on business needs and client requirements. Where compatible with project activities and company policies, hybrid working arrangements may apply.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. The gross annual salary range is between 33.058,74 and 46.700.The Work:Join us to participate in Responsible AI projects from end to end — engaging clients, shaping innovative proposals from a technical standpoint, and delivering AI technical governance solutions. You’ll act as a trusted advisor, guiding organizations on how to deploy and run AI safely and can be expected to:Define AI evaluation and assurance methodological approaches covering quality, safety, robustness, bias, explainability, privacy and monitoring.Assess and design Safe AI architectures, AI system architectural practices, and AIOps lifecycle processesPerform model auditing and adversarial testing of traditional, generative and Agentic AI (using specialized market tools and custom assets), providing recommendationsPartner with cyber, 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 closely 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 turn them into opportunities for innovation and value creation. Contribute to shaping global AI standards, build insights on regulatory trends, and represent Accenture’s Responsible AI perspective. Drive responsible AI adoption, influence business outcomes, and help shape industry practices.Experience in Responsible AI, AI Governance, and Artificial Intelligence, including Agentic AIEnterprise AI Architecture, and AIOps lifecycleGood knowledge of PythonFundamentals of AI Safety, threat modelling, guardrails, and AI observabilityNice to have:Experience with AI model governance platforms of the major enterprise vendorsCertifications in AI, cloud, security, architecture, ISO/IEC 42001, NIST AI RMF or related standards.Publications, speaking or external thought leadership on Responsible AI or AI Safety

📌 AI Engineer - Hybrid work (Roma)
🏢 Accenture
📍 Roma