Gen AI Architect
About The Position
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 byâ¯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 organizationsâ¯unlock the value of technology and build a more sustainable, more inclusive world. 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.
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.
Nice To Haves
- 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.
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Number of Employees
5,001-10,000 employees
