Gen AI Architect
Capgemini, Atlanta, GA, United States
Gen AI Architect
Job Description The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems. You will lead and support machine learning initiatives, combining technical expertise and management skills to drive successful project execution. Your responsibilities include deploying and monitoring models, fostering collaboration, and aligning machine learning strategies with broader business goals.
Qualifications
14+ years of experience
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Extensive experience 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 TensorFlow, PyTorch, or scikit‑learn
Strong understanding of DevOps practices and CI/CD pipelines
Benefits
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
Compensation The base compensation range for this role in the posted location is: $125,000 - $135,000/Annually.
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.
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.
Legal Notice 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.
Location & Contact Atlanta, GA, US
Brand: Capgemini
Professional Community: Data & AI
#J-18808-Ljbffr
Job Description The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems. You will lead and support machine learning initiatives, combining technical expertise and management skills to drive successful project execution. Your responsibilities include deploying and monitoring models, fostering collaboration, and aligning machine learning strategies with broader business goals.
Qualifications
14+ years of experience
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Extensive experience 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 TensorFlow, PyTorch, or scikit‑learn
Strong understanding of DevOps practices and CI/CD pipelines
Benefits
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
Compensation The base compensation range for this role in the posted location is: $125,000 - $135,000/Annually.
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.
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.
Legal Notice 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.
Location & Contact Atlanta, GA, US
Brand: Capgemini
Professional Community: Data & AI
#J-18808-Ljbffr