Senior Solution Architect

2 weeks ago


Melbourne, Victoria, Australia KPMG Full time
Unlock Your Potential as a Senior Solution Architect at KPMG

KPMG's Connected Technology Group (CTG) is a hub of innovation, where we ideate, incubate, and scale new tech-enabled solutions and emerging technology capabilities. As a Senior Solution Architect, you will be part of a dynamic team that combines diverse skillsets across data, intelligent automation, emerging technology, product management, and innovation to deliver unique solutions to our clients.

Your Opportunity

As a Senior Solution Architect, you will drive technology decisions to enable KPMG to put best-of-breed products in the market. You will own and steward new solutions from feasibility through to deployment and ongoing operations. Your responsibilities will include:

  • Leading complex solution architecture projects from conception to implementation, consulting with stakeholders to capture requirements and translating them into viable solutions.
  • Spearheading definition of CTG's technical strategies for domains you are responsible for, working closely with other CTG colleagues to ensure alignment between business objectives and technical capabilities.
  • Creating solution designs that explain the problem, the architecture, how the system works, key considerations for security and data privacy, and how it will be delivered.
  • Conducting research into appropriate technologies and patterns to find the best technology solution among all possible to solve the business problem.
  • Establishing and providing ongoing maintenance of the CTG Architecture Repository, including contributing to strategic architecture roadmaps, design patterns, and domain architectures.
  • Participating in architecture governance boards, setting architectural direction, and collaborating with R&D teams to prototype innovative solutions.
  • Leading and mentoring newer members of the SA Chapter, providing guidance and feedback to fellow architects on their designs.
  • Mentoring engineering teams on best practices, ensuring adherence to architectural blueprints, and guiding implementation efforts.
  • As part of our emerging AI practice, your role will be key to our ongoing success in this exciting space, working with the broader team to architect robust, scalable AI models and infrastructures, while effectively communicating design principles and strategic choices to stakeholders.
What We're Looking For

We're seeking a talented individual with a proven ability to work autonomously, dealing with conflicting priorities and monitoring their own workload in a timely and effective manner. You should have deep knowledge of Artificial Intelligence, Machine Learning, and related technologies, with a strong foundation in AI principles and applications.

Key qualifications, skills, and experience could include:

  • Comprehensive experience designing and implementing AI solutions, including expertise in Large Language Models (LLMs), machine learning, natural language processing, computer vision, and predictive analytics.
  • Proficient with AI platforms and services from major cloud providers like Azure, AWS, and Google Cloud, including AI-specific tools and frameworks.
  • Demonstrate programming skills relevant to AI, such as Python, R, and Scala, as well as familiarity with AI libraries and frameworks like TensorFlow, PyTorch, or Keras.
  • Has an in-depth understanding of data structures, data modeling, and software architecture pertinent to AI systems, with the ability to tackle complex system integration issues.
  • Is knowledgeable in ethical AI practices, bias mitigation, and explainable AI, ensuring solutions are transparent, fair, and equitable.
  • Displays strong leadership and is adept at managing cross-functional, diverse teams with a focus on promoting innovation and best practices in AI.
  • Is recognized for superior problem-solving skills with an analytical mindset adept at interpreting complex datasets and translating them into actionable AI-driven business strategies.
  • Can articulate complex technical concepts to non-technical audiences, facilitating clear communication between AI experts and business stakeholders.


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