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Senior Solution Architect
2 months ago
About KPMG's Connected Technology Group (CTG)
KPMG's Connected Technology Group (CTG) is a dynamic team that ideates, incubates, coordinates, and scales new tech-enabled solutions and emerging technology capabilities. Our team combines a diverse skillset across data, intelligent automation, emerging technology, product management, and innovation to deliver unique solutions to our clients.
Our Culture
Our culture is characterized by a start-up mentality combined with professional entrepreneurship. Our team is made up of passionate people who want to deliver value to clients in a new context, where we connect in-depth specialist knowledge with the latest technological possibilities. We are looking for people who want to take on this challenge with us and contribute to the growth of the firm.
Your Opportunity
As a Senior Solution Architect, you will join a growing team of architecture and solution design resources and drive technology decisions to enable KPMG to put best-of-breed products in the market. This will involve your area owning and stewarding new solutions for the firm from feasibility through to deployment and its ongoing operations.
Key Responsibilities
- Lead complex solution architecture projects from conception to implementation, consulting with stakeholders to capture requirements and translating them into viable solutions along with project sizing and estimation.
- Spearhead the definition of CTG's technical strategies for domains you are responsible for, working closely with other CTG colleagues (including other Product Managers, Domain Architects, Engineering Leads, Data Scientists, and Enterprise Architects) to ensure alignment between business objectives and technical capabilities.
- Create 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.
- Conduct research into appropriate technologies and patterns to find the best technology solution among all possible to solve the business problem.
- Establish and provide ongoing maintenance of the CTG Architecture Repository, including contributing to strategic architecture roadmaps, design patterns, and domain architectures.
- Participate in architecture governance boards, setting architectural direction, and collaborating with R&D teams to prototype innovative solutions.
- Lead and mentor newer members of the SA Chapter, through participation in architecture review board and team showcase sessions, providing guidance and feedback to fellow architects on their designs.
- Mentor 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. Work with the broader team to architect robust, scalable AI models and infrastructures, while effectively communicating design principles and strategic choices to stakeholders. Research and evaluate emerging AI technologies, machine learning algorithms, and frameworks to strengthen our tech stack and maintain a competitive edge. Develop AI solution roadmaps in line with technological trends and business strategy, ensuring a forward-looking perspective on how AI can drive business outcomes.
Requirements
- You are able to build relationships quickly with many different stakeholders. You are articulate and intelligent, with solid communication skills.
- You have a proven ability to work autonomously, dealing with conflicting priorities and monitoring your own workload in a timely and effective manner.
- You have deep knowledge of Artificial Intelligence, Machine Learning, and related technologies, with a strong foundation in AI principles and applications.
Qualifications, Skills, and Experience
- 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.
