Capgemini Holding Inc-posted 26 days ago
$103,330 - $128,656/Yr
Full-time • Mid Level
Hybrid • Dallas, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services

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. We are looking for a skilled and innovative Gen AI Developer to join our team and contribute to the development of advanced AI solutions. The ideal candidate will have a strong background in software development, cloud technologies, and machine learning, with a particular focus on generative AI and prompt engineering.

  • Design, develop, and deploy AI/ML models using AWS services such as Amazon SageMaker and Amazon Bedrock.
  • Implement and optimize generative AI solutions, including prompt engineering and model fine-tuning.
  • Collaborate with cross-functional teams to integrate AI capabilities into applications and workflows.
  • Develop scalable and secure cloud-based architectures for AI/ML deployments.
  • Write clean, efficient, and maintainable code in Python, Java, or other relevant languages.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.
  • 6-12 years of experience in software development, with a focus on AI and machine learning.
  • Proficiency in AWS services, especially Amazon SageMaker and Amazon Bedrock.
  • Strong programming skills in Python, Java, or similar languages.
  • Familiarity with cloud architecture and deployment strategies.
  • Experience with prompt engineering and generative AI techniques.
  • Excellent written and verbal communication skills.
  • Experience with additional AWS AI/ML services such as Amazon Rekognition, Amazon Comprehend, and Amazon Lex.
  • Knowledge of data engineering and ETL processes.
  • Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
  • Understanding of data privacy, security best practices, and compliance standards.
  • 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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