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AI Prototyping Engineer - Futures

Job Description

With an exciting mandate to do things differently, KPMG Futures is a specialist team set up specifically to focus on the future – including future sectors, future technologies, future services, future business models and more.  KPMG Futures pursues opportunities in areas such as quantum computing, Web 3.0, next-gen AI and start-up venture partnering.  Our main objective is to bring to life game-changing technologies and business models to accelerate a better future for our clients and KPMG.

Your Opportunity

Forming part of the AI Labs team this role will play a key role in bringing to life next-generation AI through the development of prototypes and proof of concepts (POCs) to identify potential new business opportunities for the firm and our clients.  The role will also provide input into AI-related strategy at a firmwide level and support research into responsible AI as appropriate. Your responsibilities will include:

  • Build prototypes & POCs in next-gen AI
    • Assist in driving the execution of a plan to explore, identify and test hypotheses using next gen AI to help create new businesses.
    • Based on the hypotheses and use case, contribute to appropriate tech stack decisions for development.
    • Develop on a cloud platform, like Microsoft Azure, or work with tech startups to support the execution of these hypotheses through development of prototypes and POCs. You will work across the entire AI lifecycle from data modelling, data set and database creation to model deployment leveraging your knowledge of cloud, databases, and APIs.
    • Capture learnings, iterate, and improve experimentation processes.
  • Develop a roadmap for the application of next-gen AI
    • Enthusiastically familiarise yourself with future tech, new tech tools and domain expertise to understand emerging AI capability.  Be curious about how the tech works algorithmically and what would be required for implementation.
    • Assist in identifying where and how future tech and new tech tools can create new opportunities for the firm and our clients. 
    • Experiment with and integrate new tech tools in prototypes and POCs to assess their value and limitations.  This includes both high and low code tech tools.
    • With these insights, contribute to research into next gen AI that will inform thought leadership.
  • Work with stakeholders within the firm and client(s)
    • Keep stakeholders up to date with progress and challenges, ensuring they understand the risks as well as the opportunities.
    • Work with stakeholders to understand the business context around the prototype and POC you develop and clearly articulate their required support for successful completion.
    • Assist in demo sessions to get stakeholder feedback and validate development direction.
  • Build credibility in Future Tech
    • Assist engagement with tech and research industry to build knowledge, relationships and establish the firm as a Future Tech leader.
    • Assist engagement with partners and alliances to form relationships that support development, enhance the firms positioning and helps to inform new business opportunity ideas.

How Are You Extraordinary?

  • You are a strategic critical thinker, and love using your technical skills to solve complex problems and build prototype and POC solutions in a multi-disciplinary team.
  • You have a can-do attitude and are always seeking creative solutions to problems with the help of the right technical tools and a supportive team.
  • You are passionate about the importance of fantastic communication to share ideas, inspire, and create change. You are able to digest, distil, and communicate complex concepts in both written and verbal form.

Your Experience:

At KPMG, we believe diversity of thought, background and unique experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. To be considered for this opportunity, your qualifications, skills & experience may include: 

  • Prior experience working within next-gen AI as a Machine Learning Engineer, Data Engineer, or Software Developer.
  • Experience designing, creating and orchestrating end-to-end data pipelines on a cloud platform, preferably Microsoft Azure, including:
    • Ingestion of structured & unstructured data sources,
    • Feature engineering for ML development,
    • Machine learning model training,
    • Model deployment. 
  • Demonstrated proficiency in Python, Java and C++, coupled with the ability to leverage SDKs and APIs to bring the best of tech all together.
  • Comfortable working with various development environments such as cloud platforms (Microsoft Azure) or third parties (tech start-ups) to choose and use the appropriate services to create end-to-end data pipelines.
  • You are a collaborative developer who leverages code base (DevOps) to use version control (git) and document their work (wiki, confluence) on the go to enable the rest of their team.
  • Familiarity with front end development frameworks (e.g. React.JS) will be looked upon favourably.
  • Ability to develop prototypes, pilots, and proof of concepts (POC).

Qualifications

  • Tertiary qualification (bachelor’s degree) in computer science, software development or similar.
  • Additional qualifications related to artificial intelligence, machine learning and/or data engineering will be considered favourably.
  • Relevant Microsoft Azure (or other cloud platform) certifications considered favourably.

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.)
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$80000K
$120000K

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What You Should Know About AI Prototyping Engineer - Futures, KPMG Australia

At KPMG Futures, we’re seeking an innovative AI Prototyping Engineer to join our dynamic team in Sydney, Australia. Our mission is to redefine the future through cutting-edge technologies such as next-gen AI, quantum computing, and more, so if you have a passion for exploring uncharted territories in the tech landscape, you’re in the right place! As the AI Prototyping Engineer, you’ll harness your technical prowess to craft prototypes and proof of concepts that will not only push the boundaries of AI but also help uncover new business opportunities for our clients and the firm. This role goes beyond simple coding; you’ll get hands-on experience with end-to-end data pipelines and development on cloud platforms like Microsoft Azure. Plus, you’ll actively contribute to firm-wide AI strategies and collaborate with stakeholders to align our AI initiatives with business objectives. You’ll be working within a vibrant AI Labs team that thrives on curiosity and creativity. The role also offers opportunities to familiarize yourself with emerging tech tools and integrate them into your projects. If you’re ready to leverage your experience in next-gen AI and take your career to the next level at KPMG, come help us create a symbiotic relationship between technology and business innovation!

Frequently Asked Questions (FAQs) for AI Prototyping Engineer - Futures Role at KPMG Australia
What are the primary responsibilities of the AI Prototyping Engineer at KPMG?

As an AI Prototyping Engineer at KPMG, you’ll be responsible for building prototypes and proof of concepts in next-gen AI, contributing to tech stack decisions, and developing on cloud platforms like Microsoft Azure. You'll also engage with various stakeholders to ensure your prototypes align with business objectives and collect feedback to iterate and improve on your work.

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What qualifications are needed to apply for the AI Prototyping Engineer position at KPMG?

To qualify for the AI Prototyping Engineer position at KPMG, applicants should hold a tertiary qualification in computer science or a related field, with experience in AI, data engineering, or software development. Familiarity with cloud platforms and programming languages like Python, Java, and C++ is essential, and additional certifications in cloud technologies will be considered favorably.

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What skills are beneficial for succeeding as an AI Prototyping Engineer at KPMG?

Successful candidates for the AI Prototyping Engineer role at KPMG will possess strong problem-solving skills, proficiency in developing end-to-end data pipelines, and a collaborative spirit. Being comfortable in multi-disciplinary environments and having excellent communication skills to articulate complex concepts will greatly assist in effectively working with stakeholders.

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How does KPMG support the development of AI Prototyping Engineers?

At KPMG, we believe in the growth of our people. AI Prototyping Engineers benefit from a supportive work environment that promotes learning through mentorship, exposure to cutting-edge technologies, and opportunities to contribute to high-impact projects. Additionally, we offer professional development resources and career advancement coaching to help you thrive.

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What kind of work culture can AI Prototyping Engineers expect at KPMG?

AI Prototyping Engineers at KPMG can look forward to a vibrant work culture that values diversity, equity, and inclusion. We encourage creativity, foster collaboration, and provide flexible working arrangements, making it easier for you to balance your professional and personal life while contributing to meaningful projects.

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Common Interview Questions for AI Prototyping Engineer - Futures
Can you explain your experience with building prototypes and POCs in AI?

In response to this question, focus on a specific project where you developed an AI prototype. Discuss the technologies you used, the challenges you faced, and how your prototype solved a particular business problem. Emphasize how your approach aligns with KPMG's values of innovation and customer-centric solutions.

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What is your experience with cloud platforms, especially Microsoft Azure?

Share detailed examples that highlight your proficiency in using Microsoft Azure. Talk about specific services you've utilized, how you've set up data pipelines, and any successful AI implementations you've overseen. This shows your hands-on experience and understanding of KPMG's preferred technology stack.

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How do you approach collaboration with stakeholders during prototype development?

Highlight the importance of communication and building rapport with stakeholders. Describe how you gather requirements, provide updates, and incorporate feedback into your prototypes, emphasizing your commitment to aligning AI solutions with business goals.

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How do you stay updated with emerging technologies in AI?

Discuss your continuous learning efforts, such as following industry trends, participating in workshops, or obtaining certifications. Mention any relevant resources or communities you engage with, illustrating your passion for staying at the forefront of AI advancements.

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What coding languages and frameworks are you most comfortable with?

Identify the programming languages and frameworks you excel in, like Python, Java, or React.JS. Offer examples of projects or applications where you've utilized these languages effectively, demonstrating your technical skill set to the interviewers.

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Can you describe the process of implementing an AI model from start to finish?

Outline the full lifecycle of AI model implementation, starting from data gathering and preprocessing, through feature engineering, model training, and finally deployment. This structured response will show your systematic approach and thorough understanding of the AI development process.

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What strategies do you apply for effective debugging during prototype development?

Discuss specific debugging techniques you’ve used, such as systematic testing, logging, and using analytics tools. Illustrate your analytical skills and how these strategies have led to successful troubleshooting in your previous projects.

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How do you ensure that your AI solutions are ethical and responsible?

Emphasize the importance of ethical frameworks in AI development. Discuss how you account for algorithmic bias, data privacy, and stakeholder transparency in your projects, aligning your answers with KPMG's commitment to responsible business practices.

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What role does feedback play in your development processes?

Talk about how you actively seek and incorporate feedback from peers and stakeholders. Mention how this helps you refine your work and align your prototypes with client needs, demonstrating your openness to collaboration.

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Can you share an example of a challenging AI project you worked on?

Choose a challenge that highlights your problem-solving skills and technical acumen. Discuss how you navigated obstacles, adapted to new information, or collaborated with your team, culminating in a successful outcome that benefited both the project and client.

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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...

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Full-time, on-site
DATE POSTED
March 27, 2025

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