Capgemini
Gen AI Architect
Join to apply for the
Gen AI Architect
role at
Capgemini
Job Location: Chicago, IL (Hybrid)
We are seeking a highly experienced and visionary
Generative AI Architect
to lead the design and implementation of cutting‑edge AI/ML platforms.
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
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
Equal Opportunity Employer 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, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Gen AI Architect
role at
Capgemini
Job Location: Chicago, IL (Hybrid)
We are seeking a highly experienced and visionary
Generative AI Architect
to lead the design and implementation of cutting‑edge AI/ML platforms.
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
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
Equal Opportunity Employer 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, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
#J-18808-Ljbffr