Software Systems Architect
Vor 5 Tagen
- Design and architect AI solutions that align with business objectives, enhance operational efficiency, and promote inclusivity
- Architecture guidance on the development of AI models, algorithms, and systems, ensuring they are scalable and maintainable
- Ensure compliance with best practices in AI ethics and governance, advocating for responsible AI use
- Present architectural designs and solutions to both technical and non-technical stakeholders, articulating the benefits and impacts of the proposed solutions
- Analysis of today's systems/processes of our business and conduct assessments regarding the feasibility of hybrid cloud-centric automation and potential AI Agents and solutions
- Drive IT and business architecture activities as well as the implementation and delivery of complex AI solutions, leveraging best-practice patterns and technology solutions
- Applying best-practice technologies and approaches for both strategic change and backlog implementation work
- Support the continual improvement of AI empowered value streams internally, with the goal of being viewed as partner of choice by our business counterparts
- Conduct research on emerging AI trends and technologies to inform and innovate our solution offerings.
- Bachelor's or master's degree in computer science, engineering, data science or related field
- Minimum of 5+ years' experience in IT Architecture leadership roles with strong focus on data, machine learning, integration, business process digitization and operational qualities
- Proven experience in an AI Solution Architect or similar role designing and implementing modern architectures and enterprise integration solutions using domain driven design, APIs, workflows and microservices styles in context of a platform centric ecosystem and SaaS solutions
- Expertise in machine learning, deep learning, and natural language processing (NLP) technologies
- Proficiency in programming languages such as Python, R, or Java, as well as familiarity with AI frameworks (e.g., TensorFlow, PyTorch)
- Experience in Agile, Lean and MLOps and DevOps based delivery models. Ability to adopt Product oriented mindset in context of regulated enterprise context
- Experience in cloud-based AI technology ecosystem, preferably MS Azure
- A passion for leveraging AI to create positive societal impact and enhance human capabilities delivering business value
- Excellent English skills with the ability to convey technical concepts to diverse audiences, including business and technical stakeholders at all levels
We offer a range of generous benefits designed to help you thrive with us and benefit for life. Discover them below.Discover KPMG - Become part of our team
Digital Business Technology is KPMG's internal technology ecosystem, anchored by a core technology team of 80+ senior technology and IT delivery experts in Switzerland in addition to outsourced services. You will be a part of the business solutions delivery team for Audit & Assurance business, which is executing various digital transformation initiatives within KPMG Switzerland. You will be working with internal and external teams to deliver these solutions. You can expect a supportive team spirit and a success-oriented working environment in an entrepreneurial, open-minded, international, and multicultural company that values diversity and inclusion.
With 300 different auditing and advisory service opportunities, our people can choose the career path that suits them best. Through our competencies in business transformation as well as ESG consulting, we support our clients in today's biggest challenges. We are a purpose-led and values driven company where your insight can create opportunities for you and contribute to a better future. Do work that matters, supported by a community that values difference and cares about you. Gain learning that'll last you a lifetime and be recognized for the impact you make. Find opportunity everywhere with KPMG.Do you have any questions?
Christos Makridis
Experienced Hire Recruiter
+41 58 249 26 30KPMG
8036 Zurich
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