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# Gen AI Architect

- **Company:** Capgemini
- **Location:** New York, NY, United States
- **Salary:** $99,712.0 - $168,716.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, DevOps, Distributed Computing Environment, Apache Hadoop, Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Google Cloud, Pytorch, Apache Spark, Generative AI, Containerization, Scikit Learn, Information Technology, Deployment Automation, Apache Kafka, Machine Learning Operations, GPT, Data Pipelines, Docker
- **Published:** July 18, 2026
- **Apply:** https://www.juju.com/job/00000000ghhb0i

## About the Role

+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

 + 14+ years of experience in AI/ML architecture and platform development.

 + Proven expertise in cloud platforms such as AWS, Azure, or Google Cloud.

 + Strong understanding of AI/ML model lifecycle management and deployment strategies.

 + Experience in data engineering, including pipeline design, storage solutions, and distributed processing.

 + Excellent communication and collaboration skills.

Preferred Qualifications (Nice to Have):

 + Hands-on experience with generative AI models and frameworks (e.g., GPT, GANs, diffusion models).

 + Familiarity with big data technologies like Hadoop, Spark, or Kafka.

 + Experience with containerization and orchestration tools such as Docker and Kubernetes.

 + Proficiency in AI/ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.

 + Understanding of DevOps practices and CI/CD pipelines for AI/ML workflows.

## Description

We are seeking a highly experienced and visionary **Generative AI Architect** to lead the design and implementation of cutting-edge AI/ML platforms. This role demands deep technical expertise, strategic thinking, and the ability to collaborate across diverse teams to drive innovation in AI solutions., + Architect and implement scalable AI/ML platforms and solutions across cloud environments.

 + Lead the end-to-end lifecycle of AI/ML models including development, deployment, monitoring, and optimization.

 + Design robust data pipelines, storage systems, and processing frameworks to support AI initiatives.

 + Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to align AI strategies with business goals.

 + Ensure best practices in model governance, performance tuning, and ethical AI usage.


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