Responsible AI Engineer
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
- travel may be required
- competitive compensation
- career growth in global AI program
Responsabilità
- 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
Requisiti fondamentali
- 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
- Strong communication and stakeholder management
- Collaborative, cross-functional teamwork
- Strategic thinking and advisory presence
- Python
- AI threat modelling
- AI governance and governance platforms (nice to have)
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
- travel may be required
- competitive compensation
- career growth in global AI program
Responsabilità
- 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
Requisiti fondamentali
- 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
- Strong communication and stakeholder management
- Collaborative, cross-functional teamwork
- Strategic thinking and advisory presence
- Python
- AI threat modelling
- AI governance and governance platforms (nice to have)