Job Description
Chicago, IL
Gen AI Architect
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.
Job Location : Chicago, IL (Hybrid)
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.
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:
Flexible work
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
Disclaimer :
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, ****** 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 accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Salary Transparency :
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000/yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
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.
Ref. code
344653-en_US
Posted on
23 Oct 2026
Experience level
Experienced Professionals
Contract type
Permanent
Location
Chicago, IL
Business unit
FS
Brand
Capgemini
Professional communities
Data & AI
Gen AI Architect
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.
Job Location : Chicago, IL (Hybrid)
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.
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:
Flexible work
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
Disclaimer :
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, ****** 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 accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Salary Transparency :
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $110841 to $145000/yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
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.
Ref. code
344653-en_US
Posted on
23 Oct 2026
Experience level
Experienced Professionals
Contract type
Permanent
Location
Chicago, IL
Business unit
FS
Brand
Capgemini
Professional communities
Data & AI
💡 Quick Summary
Seeking a career-building opportunity? The Gen AI Architect- post position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Chicago offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
