Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Responsible AI Data Science Engineer image - Rise Careers
Job details

Responsible AI Data Science Engineer

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 Data Science Engineer role is to support the operationalisation of best practice human-centred and trusted AI approaches in the design, development, assessment and monitoring of AI solutions.

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 KPMG Trusted AI Framework, regulation and best practice;
  • Define and oversee the implementation of metrics for the design, testing and ongoing monitoring of AI solutions against key responsible 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 responsible AI principles and identification of potential risks;
  • Establish a deep understanding of generative AI technology, Digital FTE use cases and practical Trusted AI implementations; and
  • Collaborate in the development and execution of a Trusted AI by Design approach to building, testing, deploying and monitoring AI solutions

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 responsible AI principles into AI solutions is crucial.

Your Skills & Experience

  • Bachelor’s or Master’s degree in computer science, AI/ML, advanced data analytics or related technical fields
  • Minimum 4-6 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 Attraction Support Team.

At KPMG every career is different, and we look forward to seeing how you grow with us.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Responsible AI Data Science Engineer, KPMG Australia

Join KPMG as a Responsible AI Data Science Engineer in the vibrant city of Sydney, Australia, where your expertise will be instrumental in shaping the future of AI technology! At KPMG, we are all about harnessing the power of data, advocating for responsible AI practices, and ensuring that our solutions are not just effective but also ethical. In this role, you’ll dive into the intricacies of designing, developing, and optimizing AI systems while establishing the technical guardrails that align with our Trusted AI Framework. You’ll engage with cross-functional teams, ensuring every project adheres to key responsible AI principles like fairness and sustainability. Collaboration is key; you’ll be working closely with digital delivery teams and executives to monitor and assess AI solutions continually. Your insights into emerging technologies and regulations will help maintain KPMG's commitment to building trustworthy AI. We value adaptability, communication, and creativity, so you’ll need to be comfortable explaining complex concepts to diverse audiences. With a minimum of 4-6 years' experience in AI and data technologies, a relevant degree, and strong project management skills, you’re all set to lead in this innovative field. Plus, KPMG has a culture of inclusivity, and we support every individual in their career journey with plenty of opportunities for growth and professional development. If you're ready to be part of a dynamic team that values each member’s unique contributions, apply today and help us create AI solutions that make a difference!

Frequently Asked Questions (FAQs) for Responsible AI Data Science Engineer Role at KPMG Australia
What are the key responsibilities of a Responsible AI Data Science Engineer at KPMG?

As a Responsible AI Data Science Engineer at KPMG, your main responsibilities will include implementing best practices for responsible AI, defining metrics for AI solution assessments, collaborating with digital delivery teams, and ensuring compliance with responsible AI principles. You will also support the operationalization of the KPMG Trusted AI Framework and engage with stakeholders to monitor AI systems throughout their lifecycle.

Join Rise to see the full answer
What qualifications are required for the Responsible AI Data Science Engineer role at KPMG?

To excel as a Responsible AI Data Science Engineer at KPMG, you should hold a Bachelor’s or Master’s degree in computer science, AI/ML, or a related field. Additionally, a minimum of 4-6 years of experience in designing and deploying AI solutions, managing risks, and working with cloud technologies is required. Strong communication skills and project management experience are also essential.

Join Rise to see the full answer
How does KPMG ensure responsible AI practices in its projects?

KPMG ensures responsible AI practices by adhering to the Trusted AI Framework, which is built on principles of being values-driven, human-centric, and trustworthy. The Responsible AI Data Science Engineer plays a pivotal role in defining and overseeing the implementation of these principles across all AI projects, ensuring metrics for fairness, reliability, privacy, security, and sustainability are in place.

Join Rise to see the full answer
What skills are essential for a Responsible AI Data Science Engineer at KPMG?

Essential skills for a Responsible AI Data Science Engineer at KPMG include a deep understanding of AI technologies, experience with MLOps and DevOps, knowledge of responsible AI practices, and the ability to articulate complex concepts clearly. Strong project management and collaborative skills are also critical for effective work in cross-functional teams.

Join Rise to see the full answer
What does the work environment look like for a Responsible AI Data Science Engineer at KPMG?

The work environment at KPMG is inclusive and collaborative, where team members support one another. As a Responsible AI Data Science Engineer, you'll be part of a dynamic team that values diverse thought and innovation. KPMG also promotes flexible work options and emphasizes professional growth opportunities for its employees.

Join Rise to see the full answer
Common Interview Questions for Responsible AI Data Science Engineer
Can you explain how you approach the design and implementation of responsible AI solutions?

To effectively answer this question, outline your approach by discussing the importance of aligning with ethical guidelines and technical requirements. Mention how you incorporate stakeholder feedback, define success metrics related to fairness and privacy, and ensure continuous monitoring throughout the AI lifecycle.

Join Rise to see the full answer
How do you stay updated on the rapidly changing AI regulations and best practices?

In your response, highlight specific strategies such as following industry publications, attending conferences, participating in webinars, and engaging with professional networks. Demonstrating your commitment to continuous learning will underscore your adaptability in the field of AI.

Join Rise to see the full answer
What experiences do you have with cloud technologies in AI development?

Discuss your hands-on experience with cloud platforms like AWS or Azure and specific AI projects where you utilized these technologies. Include examples of how cloud resources enhanced project efficiency and effectiveness while addressing security and scalability concerns.

Join Rise to see the full answer
Describe a challenging project you worked on involving AI and how you managed the risks.

Provide a brief overview of the project, the specific challenges faced, and how you identified and mitigated the risks. Focus on your approach to coordinating with teams, gathering insights, and implementing responsible AI practices in resolving issues.

Join Rise to see the full answer
How do you communicate complex AI concepts to non-technical stakeholders?

Express your ability to break down complex topics into easily understandable terms. Mention methods you use, like visual aids, analogies, or case studies, to ensure clarity and engage diverse audiences effectively.

Join Rise to see the full answer
What metrics do you consider when evaluating AI systems for responsible practices?

Detail key metrics such as fairness, transparency, accountability, and sustainability. Explain how you establish these metrics, monitor their performance, and make adjustments based on feedback and results to align with responsible AI frameworks.

Join Rise to see the full answer
Can you provide an example of a successful AI project you led?

Share an example focusing on your role, the project's objectives, results, and how you ensured the solution adhered to responsible AI principles. Emphasize teamwork, stakeholder involvement, and any challenges overcome along the way.

Join Rise to see the full answer
How do you collaborate with different teams on AI projects?

Discuss your approach to fostering effective communication and collaboration, including regular meetings, shared platforms, and open channels for feedback. Highlight your ability to navigate diverse perspectives and align everyone towards common goals.

Join Rise to see the full answer
What role do you see for emerging technologies like generative AI in responsible AI practices?

Share your thoughts on the potential of generative AI while emphasizing the importance of ethical considerations. Discuss how responsible frameworks can guide the development and implementation of generative technologies to ensure they are beneficial and reliable.

Join Rise to see the full answer
How do you prioritize your work when managing multiple AI projects?

Describe your method for prioritizing tasks, such as assessing project impact, deadlines, and resources available. Mention techniques like project management tools, regular progress check-ins, and adaptive strategies to maintain quality output.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 3 days ago
Photo of the Rise User
Sysco Costa Rica Remote No location specified
Posted 8 days ago
Photo of the Rise User
Peerspace Remote United States
Posted 5 hours ago
Photo of the Rise User
Teragonia Remote No location specified
Posted 8 days ago
Photo of the Rise User
Posted 7 days ago
Photo of the Rise User
Advansys Remote No location specified
Posted 2 days ago
Photo of the Rise User
Visa Remote Austin, TX, USA
Posted 5 days ago

n Australia, KPMG has a long tradition of professionalism and integrity, combined with our dynamic approach to advising clients in a digital-driven world. We have approximately 6,700 people, including over 400 partners, with offices around the cou...

14 jobs
MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 23, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!
LATEST ACTIVITY
Photo of the Rise User
1270 people applied to DATA ENTRY (Remote) at Amazon
Photo of the Rise User
Someone from OH, Columbus just viewed Sales Development Representative at Findem
T
Someone from OH, Dublin just viewed Brand Marketing Intern-Summer 2025 at Trove Brands
Photo of the Rise User
Someone from OH, Mentor just viewed Supply Planning Analyst at Avery Dennison
Photo of the Rise User
Someone from OH, Columbus just viewed Medical Expert, Fertility and Pregnancy at Carrot Fertility
Photo of the Rise User
Someone from OH, Kent just viewed Finance Year-round Intern at Sherwin-Williams
Photo of the Rise User
Someone from OH, Cincinnati just viewed Product Owner, AI at Modernizing Medicine, Inc.
Photo of the Rise User
Someone from OH, Strongsville just viewed Used Car Buyer - Concord Toyota at Sonic Automotive
Photo of the Rise User
Someone from OH, Canton just viewed UI Designer - Website & Brand at Atlan
Photo of the Rise User
Someone from OH, Dayton just viewed Data Engineer - User Platform at Spotify
Photo of the Rise User
Someone from OH, Dayton just viewed Data Engineer - #1696 at MeridianLink
Photo of the Rise User
Someone from OH, Columbus just viewed Enterprise Sales Project Associate at Array
Photo of the Rise User
Someone from OH, Akron just viewed Medical Receptionist at LifeStance Health
Photo of the Rise User
Someone from OH, Thornville just viewed Finance Rotation Analyst at Huntington National Bank
Photo of the Rise User
Someone from OH, Columbus just viewed Cashier - Sawmill Road Market District at Giant Eagle
Photo of the Rise User
Someone from OH, Cincinnati just viewed Data Scientist at Apex Systems
Photo of the Rise User
Someone from OH, Mansfield just viewed POS Install Tech at TEKsystems
Photo of the Rise User
Someone from OH, Dublin just viewed Sr. Manager UX Design Research at Visa
Photo of the Rise User
Someone from OH, Columbus just viewed Case Manager at Release Recovery
Photo of the Rise User
Someone from OH, Cincinnati just viewed Recruiting Coordinator (Contractor) at Anduril Industries