The common responsibilities for this position include driving enterprise strategy and governance with a focus on architecture frameworks for digitalization and innovation. This involves conducting workshops for internal requirements gathering, exploring contemporary AI capabilities, and developing Proof of Concepts (PoC) for generative AI applications. The role requires designing end-to-end architectures for digital human solutions, integrating AI, cloud-native services, and DevOps pipelines, while ensuring compliance with security and ethical standards. Additionally, the position entails orchestrating technical teams to build data models, optimizing AI models for performance and scalability, and leading the implementation of AI/ML solutions from concept to production. The architect will collaborate with stakeholders to align technical solutions with business goals, govern cloud infrastructure spending, and establish CI/CD pipelines for automated deployments. Lastly, the role includes mentoring engineering teams and staying updated on emerging AI trends to foster innovation.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position