Gen AI Architect

CapgeminiNew York, NY
90d

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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