Gen AI Architect

Overview

Hybrid
$100,000 - $140,000
Full Time

Skills

Generative Artificial Intelligence (AI)
Machine Learning (ML)
PyTorch
Kubernetes
Gen AI
Gen AI Architect
Artificial Intelligence
AI
AI/ML

Job Details

Position Title : Gen AI Architect
Location : Chicago, IL (Hybrid)
Experience : 14+ Years (Mandatory)
Employee Type : Full Time with Benefits


Job 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.

Key Responsibilities:

  • 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.

Required Qualifications:

  • 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Capgemini America, Inc.