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Cloud Architect

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Capgemini
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing, Data Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 145000 USD Yearly USD 130000.00 145000.00 YEAR
Job Description & How to Apply Below

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Overview

Capgemini is a global business and technology transformation partner focused on accelerating digital and sustainable change. We are committed to providing an inclusive, collaborative environment and opportunities to contribute to meaningful work with clients across industries.

Responsibilities

The role involves shaping and delivering AI/ML platforms and architectures, and collaborating with cross-functional teams to drive AI initiatives.

Responsibilities include:

  • Designing and implementing AI/ML platforms and architectures.
  • Applying knowledge of cloud computing platforms (AWS, Azure, or Google Cloud).
  • Managing AI/ML model development, deployment, and lifecycle processes.
  • Handling data management, including data pipelines, storage solutions, and processing frameworks.
  • Communicating effectively with stakeholders and collaborating across teams.
Required Skills & Experience
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Extensive experience in designing and implementing AI/ML platforms and architectures.
  • Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of AI/ML model development, deployment, and lifecycle management.
  • Experience with data management, including data pipelines, storage solutions, and processing frameworks.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
NICE TO HAVE
  • Experience with generative AI models and frameworks such as GPT, GANs, or other deep learning models.
  • Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with AI/ML tools and libraries such as Tensor Flow, PyTorch, or scikit-learn.
  • Strong understanding of Dev Ops practices and CI/CD pipelines.
Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

The base compensation range for this role in the posted location is: $130000 to $145000/Yearly. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.

This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the…

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