AI Engineer - Hybrid work (Milano)

AI Engineer - Hybrid work (Milano)

15 nov
|
Accenture
|
Milano

15 nov

Accenture

Milano

Overview As a member of Accenture's Global Responsible AI team, you will design and govern AI systems that are safe, fair, and auditable while guiding clients through end-to-end responsible AI projects. You will shape architectures, governance, and risk controls across traditional, generative, and Agentic AI. This role blends advisory work with hands-on design, contributing to reusable playbooks and governance evidence packs. You will operate within a global program, often collaborating with senior stakeholders to drive responsible AI adoption.

Retribuzione / Benefits

hybrid working arrangements

career growth in global AI program

Design and assess Responsible AI architectures and governance solutions, defining evaluation approaches for quality, safety, robustness, fairness, explainability, privacy, observability, and monitoring

Perform model auditing, adversarial testing, and risk assessments on traditional, generative, and Agentic AI to identify biases, data leakage, and vulnerabilities, and recommend controls

Develop Safe AI architectures and AIOps lifecycle practices, partnering with cybersecurity, model risk,



and engineering teams on threat modelling and mitigation

Support Responsible AI projects end to end, contributing to client engagements, proposals, reference architectures, accelerators, and governance evidence packs while advising client teams and leaders

Shape proposals, reusable reference architectures, playbooks, accelerators, and governance packs for scalable impact

Collaborate with AI and transformation teams to guide project delivery, evaluate algorithms for transparency and reliability, and turn AI risks into opportunities

Contribute to global AI standards and regulatory trend insights, driving responsible AI adoption and industry practices

Experience in Responsible AI, AI Governance, and Artificial Intelligence including Agentic AI

Enterprise AI Architecture and AIOps lifecycle

Good knowledge of Python

Fundamentals of AI Safety, threat modelling, guardrails, and AI observability

Python

AI threat modelling

AI governance and governance platforms (nice to have)

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

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