Gen AI Architect

Capgemini
New York, NY, United States
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$99,712.0 - $168,716.0
Working hours
Regular working hours
Job source

Tech stack

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
+13 more
Google Cloud Pytorch Apache Spark Generative AI Containerization Scikit Learn Information Technology Deployment Automation Apache Kafka Machine Learning Operations GPT Data Pipelines Docker

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., + 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.

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.

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.

Benefits & conditions

The base compensation range for this role in the posted location is: 99,712 - 168,716

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 U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • 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)

About the company

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., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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