Gen AI Architect
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like where youll be supported and inspired bya collaborative community of colleagues around the world and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable more inclusive world.
Job Location: NYC / Atlanta/ Chicago
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:
- Bachelors or Masters 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.
The base compensation range for this role in the posted location is: 99712 - 168716
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)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses commissions or other forms of incentive pay) is not considered earned vested or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgeminis discretion consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness accessibility inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race national origin gender identity/expression age religion disability sexual orientation genetics veteran status marital status or any other characteristic protected by law.
This is a general description of the Duties Responsibilities and Qualifications required for this position. Physical mental sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. 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 340000 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.
Required Experience:
Staff IC
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
About Company
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
