yoinka

Responsible AI Consultant

Accenture

Location NegotiableFull TimeMidH-1B sponsor company
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Location
Location Negotiable
Employment
Full Time
Work model
On-Site
Level
Mid
H-1B history
998 approvals (FY2023)
Posted

Skills

GenAIServiceNow

About this role

Are you ready to be a part of the AI reinvention of industry and revolutionize your career? In today’s world, our mission for AI reinvention is to be the leading reinvention partner for global enterprises by building a strong digital core and unleashing artificial intelligence to create 360° value at speed.  That’s where the Advanced Data & AI Center comes in. We bring together strategic visionaries, industry experts, data and AI practitioners, and technology specialists to co-create each client’s unique path to reinvention.  Within the Global Center for AI & Data , the AI Trust, Ethics, and Safety team governs pre-deployment ethics and post-deployment operational oversight of AI systems. You will work with multidisciplinary teams to help organizations design, govern, and operate AI systems that are trustworthy, compliant, and fit for deployment across regulated and high-stakes environments. WORK YOU’LL DO As part of the Global Center for AI & Data , you will support clients in building the governance structures, regulatory frameworks, and operational controls needed to deploy AI responsibly. As a Responsible AI Specialist , you will work at the intersection of AI governance, regulatory compliance, and AI system lifecycle management, helping clients translate regulatory obligations into implementable controls and embed responsible AI practices across their AI programmes. You will work across AI regulatory compliance, AI risk methodology, governance operating model design, regulatory obligation mapping, and AI literacy, supporting both the design of governance frameworks and their integration into live AI development and deployment processes. There will never be a typical day, and you will continuously learn and grow while working on innovative Data & AI initiatives across industries.

Key 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.  WHO WE’RE LOOKING FOR    Bachelor’s degree in Law, Computer Science, Engineering, Data Science, Information Systems, or a related discipline. A Master’s degree or relevant postgraduate qualification is considered an advantage.  3+ years of relevant experience in AI governance, regulatory compliance, risk management, or a related area, with demonstrated 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

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