Description
Key Responsibilities:
- Design and develop Generative AI and Agentic AI solutions using Python.
- Build AI agents and integrate AI models with enterprise applications.
- Develop and deploy cloud-based AI/ML solutions into production.
- Support the full AI development lifecycle, from solution design to deployment and monitoring.
- Work with data engineering teams to ensure data quality and reliability.
- Implement AI security, performance optimization, and observability standards.
- Collaborate with cross-functional teams in an Agile environment.
Required Skills:
- Strong hands-on experience with Python.
- Experience in Generative AI and Agentic AI development.
- Knowledge of cloud-based AI solutions and AI/ML system design.
- Experience with AI model integration and production deployment.
- Understanding of data engineering, AI security, performance, and monitoring.
- Experience with Agile delivery and the full software development lifecycle.
- Strong problem-solving, documentation, and communication skills.
Preferred Qualifications:
- Experience delivering enterprise AI solutions in regulated environments.
- Financial services or banking domain experience.
- Experience building secure and scalable production AI applications