AI Technology Ecosystem Architect

IBM

Quick summary

Work type: On-site
Location: New York, NY
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 company in New York, you will work closely with the innovation team to design and implement advanced solutions using foundation models and large language models. Your day-to-day responsibilities include collaborating with cross-functional teams to integrate cutting-edge AI technologies into existing systems, ensuring seamless scalability and performance. You will leverage Python, TensorFlow, and PyTorch to develop robust machine learning pipelines and APIs, while also staying abreast of the latest advancements in natural language processing and computer vision. This role demands expertise in cloud platforms like AWS or Azure for deploying scalable AI solutions, as well as a deep understanding of data governance and security practices within large-scale enterprise environments.

Skills

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

What you'll do

Design and implement scalable AI solutions using foundation models and large language models.
Integrate diverse data sources to enhance model performance and accuracy.
Develop innovative applications that leverage AI technologies for business impact.
Maintain up-to-date knowledge of advancements in AI and machine learning fields.
Optimize existing systems by applying cutting-edge AI techniques and tools.

What we're looking for

Experience in designing and implementing AI technology ecosystems.
Proficiency in foundation models and large language models (LLMs).
Strong background in machine learning and artificial intelligence.
Ability to integrate diverse technologies within complex systems.
Expertise in cloud platforms for deploying AI solutions.
Knowledge of data management and analytics in AI projects.

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