(Python) AI Engineer - Vice President

Citibank (Switzerland) AG; Mississauga; Hybrid; Confidential; Full time

Job summary

Citibank (Switzerland) AG is seeking a Vice President for Application Development AI Engineering to lead the design and delivery of scalable AI-powered software. The candidate will champion modern architectures, microservices, and robust distributed systems while integrating cutting-edge AI tools to accelerate development and improve code quality.

The role requires extensive hands-on experience across Python, Java backend, and frontend frameworks, with a focus on API design (REST/gRPC), data

Qualifications

• 6+ years of software engineering experience.
• 4+ years' experience designing and building large-scale distributed systems using microservices.
• 4+ years' experience in modern software architecture principles and framework design.
• 6+ years' experience with Python programming.
• 3+ years' experience with API design (REST, gRPC) and data modeling.

Responsibilities

• Technical Leadership: Collaborate with Product Management, Design, and stakeholders to ensure technical solutions meet customer needs and market demands; promote agile methodologies and continuous improvement.
• Innovation & AI Integration: Stay at the forefront of trends in architecture, microservices, and AI; evaluate and adopt new technologies to boost productivity and product capabilities; promote AI-driven development tools to optimize coding, testing, and debugging.

Skills

Python

API design

Full stack

React/Angular

AI tools

Distributed systems

Microservices

Software architecture

LangGraph

RAG

A2A communication

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Google AI SDK

GitHub Copilot

Devin

LangGraph

Job description

We are seeking a visionary and highly accomplished Vice President (VP), to join our team as an Application Development AI Engineer. The ideal candidate is a seasoned engineer with a proven track record of building and scaling high-performing and resilient products, driving innovation in product development, and designing robust, scalable software architectures. A critical aspect of this role is to champion and integrate cutting-edge AI development tools (e.g., GitHub Copilot, Devin) into our engineering workflows to accelerate development cycles, enhance code quality, and foster a culture of innovation.**Responsibilities:*** **Technical Leadership:**+ Collaborate closely with Product Management, Design, and other business stakeholders to ensure technical solutions meet customer needs and market demands.+ Champion agile methodologies and a culture of continuous improvement to deliver high-quality products efficiently and predictably.* **Innovation & AI Integration:**+ Stay at the forefront of industry trends, particularly in software architecture, microservices, and artificial intelligence.+ Lead the evaluation and adoption of new technologies and tools to enhance engineering productivity and product capabilities.+ Actively promote and guide the hands-on use of AI-driven development tools like GitHub Copilot, Devin, and other emerging technologies to optimize coding, testing, and debugging processes.**Qualifications and skills required:*** 6+ years of experience in software engineering* 4+ years' experience and demonstrated expertise in designing and building large-scale, distributed systems using microservices architecture.* 4+ years' experience and deep and extensive knowledge of modern software architecture principles and framework design.* **Technical Skills:**+ 6+ years' experience and mastery of Python programming language+ 3+ years proven experience with API design (REST, gRPC), data modeling, and various database technologies (SQL, NoSQL).+ Hands-on experience and proficiency in leveraging AI-powered development tools (e.g., GitHub Copilot, Devin) in a professional engineering environment.+ Must have Full stack -Java backend, React or Angular frontend experience+ *Google AI SDK:* Direct experience building applications with the Google AI SDK to leverage models like Gemini for complex reasoning and function calling.+ *Agentic Architectures:* Proficiency in designing and implementing multi-agent and stateful workflows using frameworks like LangGraph.+ *Retrieval-Augmented Generation (RAG):* Demonstrated expertise in building advanced RAG systems, from data ingestion and chunking to integration with vector databases.+ *Agent-to-Agent Communication:* Experience designing patterns for autonomous agent-to-agent (A2A) communication and collaboration to solve complex tasks.* **Leadership & Soft Skills:**+ Exceptional communication skills, with the ability to inspire and motivate large teams.+ Strong strategic thinking and business acumen, with the ability to translate business needs into technical solutions.+ A passion for innovation and a forward-thinking mindset.* **Education:**+ Bachelor's or Master's degree in Computer Science, Engineering or equivalent experience