Responsible AI Consultant

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 AI risk methodology applicable to ML, GenAI, and Agentic AI systems, including bias assessment, transparency requirements, and human oversight controls.

Experience with agentic AI, including context engineering, agent memory patterns, or multi-agent solutions.

Working knowledge of cloud environments (GCP, AWS, Azure) as they relate to AI system deployment and governance controls.

Programming skills in Python, with experience integrating APIs and processing structured and unstructured information.

Knowledge of GDPR and its intersection with AI system obligations, including data minimization, purpose limitation, and automated decision-making requirements.

Strong analytical and communication skills, with the ability to translate regulatory requirements into operational controls and work effectively with both technical and non-technical stakeholders.

CONSIDERED A PLUS

Experience with enterprise metadata and catalog platforms such as Alation, Collibra, Microsoft Purview, or Informatica.

Familiarity with data modelling and data architecture principles, with exposure to cloud data platforms

Familiarity with ISO/IEC 42001 and its application to AI management system design and implementation.

IAPP AIGP certification or active pursuit of it.

ISO/IEC 42001 familiarity.

Familiarity with DORA obligations as they apply to AI-driven financial systems.

Experience with BPM tooling (Camunda) or workflow automation in compliance contexts.

Relevant AI or cloud certifications, including Azure AI Fundamentals, AWS Cloud Practitioner, or equivalent.

Exposure to security analysis practices (SAST, DAST, SCA) as applied to AI system assurance.

WHAT'S IN IT FOR YOU?

• •Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts
• •Access to enterprise AI development tooling and the internal community building with it
• •Continuous hard and soft skills training & development through global platforms & local academy, including cloud certification paths (Azure, GCP)
• •Career coaching and mentorship to help you manage your career and develop professionally
• •Ongoing strengths and skills based evaluation process
• •Various opportunities to develop your career across a spectrum of clients, industries and projects
• •Diverse and inclusive culture
• •Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)
• •Under our Brain Regain initiative, extra relocation benefits may apply

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

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About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partner