AI Technology Ecosystem Architect

IBM

Quick summary

Work type: On-site
Location: San Jose, CA
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 San Jose, CA, you will work closely with the innovation team to design and implement cutting-edge solutions using foundation models and large language models (LLMs). Your primary responsibilities include building scalable infrastructure for AI applications, integrating various machine learning tools and platforms, and collaborating with cross-functional teams to enhance product capabilities. You will need expertise in Python, TensorFlow, PyTorch, and Kubernetes, along with a deep understanding of cloud services like AWS or Azure. This role demands proficiency in natural language processing (NLP) and experience with API development for seamless integration within the ecosystem. The position is ideal for someone passionate about advancing AI technologies at scale to solve complex business challenges.

Skills

AI LLM Python TensorFlow PyTorch Kubernetes Docker CI/CD GitHub AWS Azure GCP PostgreSQL MongoDB Prometheus Grafana GitLab Jenkins

What you'll do

Design and implement scalable AI solutions using foundation models and large language models.
Integrate AI technologies into existing systems to enhance functionality and efficiency.
Develop innovative applications leveraging the latest advancements in machine learning.
Ensure compliance with data privacy regulations while deploying AI solutions.
Optimize model performance for real-time processing and high throughput.

What we're looking for

Extensive 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 technologies.
Experience with cloud platforms for deploying AI solutions.
Excellent problem-solving skills for complex technical challenges.
Bachelor’s degree in Computer Science, Engineering, or related field required.

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