How success looks like
Functional Performance: Deliver robust AI platforms and accelerators, ensuring seamless integration and scalability of GenAI models and Agentic frameworks.
Revenue and Profits: Develop AI solutions that drive business growth and enhance profitability through innovative applications.
Time-based Performance: Implement and optimize continuous integration and delivery pipelines to improve efficiency over time.
Employee Growth: Mentor junior engineers, fostering their development and contributing to a culture of continuous learning.
Technical Excellence: Maintain high standards of code quality and compliance, contributing to shared libraries and refactoring as needed.
Responsibilities of the role
- Design and develop scalable AI models, platforms, and Agentic frameworks.
- Collaborate with cross-functional teams to integrate AI solutions into enterprise systems.
- Implement DevOps, DataOps, and MLOps methodologies in daily operations.
- Develop and maintain CI/CD pipelines for efficient deployment.
- Refactor and contribute to shared code libraries, ensuring compliance with standards.
- Coach and train junior engineers, developing training materials.
- Evaluate new technologies and recommend best practices for AI model and Agentic framework implementation.
Job Qualifications
- Bachelor's Degree or equivalent
- At least 7 year of proven experience is required
- Proficiency in AI lifecycle management, Python, software engineering practices, and Agentic framework development.
- Experience with deploying enterprise-grade AI/ML products.
- Strong problem-solving skills and ability to communicate technical concepts effectively.
- Familiarity with DevOps environments, CI/CD tools, and API management.
- Experience with source control management tools like GitHub and Agile tools such as Jira.