Solutions Analyst - AI
12 Tage altAngaben zum Job
Firma | KPMG | Pensum | 100% |
Einsatzort | Zurich |
Job-Inhalt
This role is critical for translating enterprise strategy into actionable firm-wide AI solutions that deliver measurable business value. This position ensures that the organization invests in AI initiatives that solve the right problems, leverage the most effective technologies, and scale successfully across the firm. By aligning product vision with organizational priorities, driving cross-functional collaboration, and championing responsible AI practices, the AI Solutions Analyst accelerates innovation, mitigates risk, and maximizes return on investment in AI.
Your contribution to KPMG
Product Strategy & Vision
- Define and evolve the AI product roadmap aligned with enterprise objectives and user needs.
- Identify opportunities where AI (ML, GenAI/LLMs, RAG, agent-based systems) can deliver impact.
- Prioritize features and services based on business value, feasibility, and cost-effectiveness.
- Gather, analyze, and prioritize requirements from stakeholders and end-users.
- Translate needs into clear product specifications and measurable outcomes.
- Establish feedback loops to validate prototypes and deployed solutions.
- Collaborate with engineering on architecture and service integration decisions.
- Ensure products and services follow the full AI lifecycle from experimentation through deployment and iteration.
- Guide selection of the best-fit tools and frameworks for each use case.
- Ensure compliance with data privacy, ethics, and AI governance standards.
- Champion responsible AI practices in product and service design.
This is what makes you successful
- Strong background in user-centric product development and requirements engineering.
- Solid understanding of ML workflows, GenAI/LLMs, and RAG fundamentals.
- Proven ability to match business problems with the right AI/ML tools.
- Hands-on experience with Azure AI/ML platforms (Azure ML, Azure DevOps, AKS).
- Excellent communication, stakeholder engagement, and storytelling skills.
- Experience in agile product development and enterprise-scale AI deployments.