AI Visionary
1 day ago
Pandora A/S is seeking a seasoned AI Architect to spearhead the development and implementation of cutting-edge AI solutions, driving innovation and strategic growth within the company. As a key member of our team, you will be responsible for defining and leading the architecture and direction of Pandora's AI initiatives, collaborating closely with cross-functional teams to design and deploy state-of-the-art AI capabilities.
Key Responsibilities:
- Strategic Planning & Industry Alignment: Stay abreast of industry trends, including advances in Large Language Models (LLMs), Generative AI, and multi-agentic solutions, translating these trends into Pandora's AI roadmap.
- Solution Design: Drive the solution architecture for AI and ML use cases, ensuring alignment with Pandora's business objectives and engineering standards, and collaborating with various teams to design AI and machine learning models that enhance Pandora's digital ecosystem.
- Capability Assessment and Acquisition: Lead evaluations and integrations of third-party AI SaaS solutions, guiding build vs. buy decisions, and focusing on integrating new capabilities into Pandora's existing systems.
- Governance and Best Practices: Develop and enforce architecture frameworks that prioritize security, scalability, and performance in all AI-related implementations, championing data governance and ethical AI practices, and ensuring solutions are compliant, transparent, and aligned with industry standards.
- Collaboration with Cross-functional Teams: Work closely with the Data & AI platform team and other engineering departments to ensure AI architecture supports Pandora's scalability and operational goals, including integrating data pipelines, MLOps, and real-time event streaming solutions.
- Non-Functional Requirements (NFRs) Compliance: Ensure that all AI solutions adhere to strict NFRs, including high availability, fault tolerance, and security, suitable for enterprise-scale AI deployments.
- Technical Oversight: Provide hands-on guidance in the architecture and deployment of AI models, including implementing proof of concept models and conducting code reviews.
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