Take your expertise further at Citi as a Python AI Engineer focusing on advanced AI agent deployment and scalable data solutions. Utilize tools like Databricks and Kafka in this impactful role.
Citi invites an experienced AI Engineer to support its Retail and Wealth Risk Engineering initiatives by designing and maintaining robust data pipelines. This role will leverage cloud-based platforms and advanced engineering skills to enhance efficiency in application automation while thoroughly ensuring data integrity throughout the lifecycle. Collaborate on AI integration and automation to optimize organizational capabilities effectively.
Key Responsibilities:
• Design scalable data pipelines and AI agents
• Integrate Google ADK for enhanced application workflows
• Maintain advanced data architectures with AI strategies
• Automate integrations to streamline data applications
• Uphold quality, security, and compliance standards
Requirements:
• 5-8 years in application development, specifically AI
• Expertise in Python and PySpark engineering
• Experience with agentic AI development and microservices
• Strong SQL skills and familiarity with data federation
• Collaborative mindset, capable of problem-solving
Join Citi to innovate in AI engineering and data solutions.
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