AI Technology Ecosystem Architect

IBM

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Work type: On-site
Location: Coral Gables, FL
Posted: 10 days ago

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Similar $202k

$153k most similar roles pay here $251k

This listing doesn't post a salary. Most similar roles pay $162,375–$241,600.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · AI Technology Ecosystem Architect

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As an AI Technology Ecosystem Architect at a leading tech firm in Coral Gables, Florida, you will play a pivotal role in shaping the future of artificial intelligence by designing and implementing advanced solutions that integrate foundation models and large language models. You will collaborate closely with cross-functional teams to develop innovative products and services, focusing on scalability and performance optimization. Your daily responsibilities include architecting robust AI ecosystems, conducting technical evaluations of emerging technologies, and ensuring seamless integration across various platforms. Proficiency in Python, Java, and Kubernetes is essential, along with expertise in machine learning frameworks such as TensorFlow and PyTorch. This role demands a deep understanding of cloud computing environments and the ability to navigate complex business challenges within the rapidly evolving AI landscape.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Azure GCP CI/CD Git PostgreSQL MongoDB Redis GraphQL REST Swagger Kafka Zookeeper Prometheus Grafana

What you'll do

Design and implement scalable AI solutions using foundation models and LLMs.
Integrate diverse data sources to enhance model performance and accuracy.
Develop innovative applications leveraging cutting-edge AI technologies.
Ensure security and privacy in AI system design and deployment.
Monitor and optimize AI systems for efficiency and reliability.

What we're looking for

Extensive experience in designing and implementing AI technology ecosystems.
Proficient in working with foundation models and large language models (LLMs).
Strong background in AI architecture to support complex technological solutions.
Experience in the development and deployment of machine learning systems.
Knowledge of cloud platforms for scalable AI applications is essential.

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