Job Description
Our Connected Technology Group (CTG) defines and drives the digital, data and technology strategy for KPMG. We have an important advocacy role for technology in the market and across KPMG, working with our technology leaders to build our market presence. We cultivate collaboration and integrate tech execution across our business, driving a firmwide approach to how we go-to-market and build the capability of our people and attract new talent.
Trusted AI represents KPMG’s strategic approach and commitment to the responsible and ethical design, development, procurement, and use of artificial intelligence. By implementing Trusted AI, we aim to accelerate value creation for our clients, the firm, and society, all while promoting trust and confidence in AI systems throughout every stage of their lifecycle. The KPMG Trusted AI Framework rests on three foundational principles of being values-driven, human-centric and trustworthy, supported by ten key ethical principles. The KPMG Australia Trusted AI Office is responsible for operationalising the firm’s Trusted AI Framework in line with emerging regulatory requirements, global standards and industry best practice.
Your Opportunity
The purpose of the Responsible AI Manager role is to support the operationalisation of best practice human-centred and trusted AI approaches in the development, deployment and monitoring of AI solutions and the contribution of those expertise to the firm’s overall Trusted AI governance approach.
Specific responsibilities:
- Bring research-informed best practices on responsible AI to the design, development, and use of AI solutions by KPMG through guidance on the implementation of appropriate technical guardrails aligned with the Trusted AI Framework, regulation and best practice;
- Define metrics for the design and testing of AI solutions against key Trusted AI pillars, including fairness, reliability, privacy, security and sustainability;
- Actively engage with digital delivery teams to evaluate their upcoming product and project releases, ensuring alignment with Trusted AI principles and identification of potential risks;
- Establish a deep understanding of generative AI technology, Digital FTE use cases and practical Trusted AI implementations;
- Advise on the development of monitoring frameworks and tools for the identification and mitigation of AI risks;
- Serve as a key contact with stakeholders in the provision of technical advice on implementation of the Trusted AI pillars;
- Collaborate in the development and delivery of internal guidelines to support KPMG staff operationalise the Trusted AI approach based on role and responsibility; and
- Keep up with evolving AI regulatory requirements relevant to KPMG and support the regular updating of processes and practice in line with those requirements;
- Contribute to the continuous improvement and effectiveness of the firm’s Trusted AI governance structures; and
- Provide input into client services strategies by defining and communicating best practice technical approaches to the operationalisation of Trusted AI.
How are you extraordinary?
- Adaptability: Keeping pace with the rapidly changing AI industry and regulatory landscape requires a flexible mindset and a commitment to ongoing learning.
- Communication: Articulating complex AI concepts clearly to both technical and non-technical stakeholders is key.
- Collaboration: Forming effective partnerships with teams and guiding the integration of AI principles into projects is crucial.
Your Skills & Experience
- Bachelor’s or Master’s degree in computer science, AI/ML, advanced analytics or related technical fields
- 6-8 years’ experience
- Experience in designing, developing and deploying AI solutions.
- Experience in identifying, assessing and mitigating risks across the AI lifecycle
- Experience in defining metrics, testing, and monitoring the implementation of responsible AI specifications within an AI solution.
- Experience in working on cloud and on Data & AI technologies.
- Knowledge of standard IT operations including MLOps, LLMOps and DevOps.
- Working knowledge of Retrieval Augmented Generation (RAG) techniques and their application in AI systems
- Demonstrated project management skills, including the ability to manage multiple projects simultaneously and deliver quality outputs on time.
- Strong communication skills, both written and spoken, with the ability to engage with technical as well as non-technical audiences.
Additional Information
KPMG is a professional services firm with global outreach and deep sector experience. We work with clients across an array of industries to solve complex challenges, steer change and enable growth.
Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who’ve got your back. You’ll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.
At KPMG, you’ll take control over how you work. We’re embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.
Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Support Team.
At KPMG every career is different, and we look forward to seeing how you grow with us.
