The common responsibilities for this position include partnering with enterprise and platform architects to translate strategic initiatives into scalable solution architectures, designing and evolving project-specific architectures, and providing hands-on technical leadership for system prototypes and proof-of-concept implementations. Responsibilities also encompass designing, deploying, and managing scalable cloud infrastructure on GCP, automating operations using infrastructure as code, and optimizing cloud resources for cost-efficiency. Additionally, the role involves developing and implementing R&D projects and AI applications, collaborating with cross-functional teams to ensure high performance, and maintaining web portal front-end interfaces and mobile applications. The position requires designing and implementing LLM-powered agent systems, developing AI solutions focusing on ASR and multimodal systems, and maintaining AI-enabled broadcast workflows. Furthermore, the appointee will monitor system performance, document configurations, and assist with the deployment and support of AI services and related infrastructure.
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.
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Academic degree required as indicated by all job postings
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