AI Technology Ecosystem Architect

IBM

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Work type: On-site
Location: Research Triangle Park, NC
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 the Research Triangle Park area, you will work closely with a multidisciplinary team to design and implement advanced solutions leveraging foundation models and large language models. Your primary responsibilities include developing scalable infrastructure for AI applications, integrating cutting-edge technologies into existing systems, and collaborating with stakeholders to identify innovative use cases. You will need expertise in Python, TensorFlow, and Kubernetes, along with strong knowledge of cloud platforms like AWS or Azure. This role demands a deep understanding of machine learning principles and the ability to navigate complex technical challenges at scale within a fast-paced environment focused on driving innovation in AI technology ecosystems.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS Azure GCP CI/CD Git PostgreSQL MongoDB Redis GraphQL RESTful APIs Scikit-learn Pandas Jupyter Notebook Swagger/OpenAPI

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 leveraging AI technologies for business impact.
Maintain up-to-date knowledge of advancements in machine learning and AI.
Optimize existing systems for efficiency and effectiveness through AI integration.

What we're looking for

Minimum 7 years of experience in designing and implementing AI solutions.
Proven track record in developing and scaling machine learning models.
Expertise in natural language processing (NLP) and large language models (LLMs).
Strong background in cloud computing platforms like AWS, Azure, or GCP.
Excellent communication skills for collaborating with cross-functional teams.
Bachelor’s degree in Computer Science, Engineering, or a related field required.

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