Digital Software Engineer - Vice President

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

The Digital S/W Engineer Sr Mgr accomplishes results through the management of professional team(s) and department(s). Responsible for Design and implementation of cutting-edge AI/ML solutions that power intelligent, multilingual digital experiences across customer-facing and operational platforms. Requires broad full-stack engineering expertise with deep specialization in AI/ML with an ability to build and optimize LLM-powered workflows, agentic AI systems, and machine learning models to enable natural language understanding, intelligent automation, and personalized self-service, bridging intelligent systems with enterprise-grade digital platforms across millions of interactions spanning multiple languages. Full management responsibility of a team, which may include management of people, budget and planning and duties such as performance Evaluation.

Key Responsibilities

• Lead the design and development of scalable, enterprise-grade conversational AI and agentic systems for real-time customer interaction use cases
• Build and optimize AI/ML solutions including LLM-powered workflows

• Develop and implement RAG pipelines and knowledge-based AI integrations
• Design and deploy multi-agent systems for complex business use cases
• Apply prompt engineering and optimize LLM performance, cost, and accuracy
• Build intelligent automation solutions for customer journeys and digital workflows
• Integrate AI capabilities into existing enterprise platforms and architectures
• Collaborate with cross-functional teams to deliver end-to-end solutions
• Ensure system scalability, reliability, and performance in production environments
• Drive best practices in architecture, coding standards, and AI implementation

Required Skills & Experience

• 11–16 years of experience in application development or enterprise engineering roles
• Strong hands-on expertise in Java, Microservices, and REST APIs
• Expert-level proficiency in Python (mandatory)
• 2+ years of hands-on experience with AI/ML, LLMs (e.g., GPT, Claude, Gemini)
• Experience with RAG, prompt engineering, and vector databases
• Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI)
• Full-stack development experience with modern frontend frameworks (e.g., React.js/Angular)
• Strong understanding of system design, distributed systems, and cloud platforms
• Experience with SQL/NoSQL databases and real-time data processing
• Exposure to MLOps practices including deployment, monitoring, and lifecycle management

Good to Have

• Experience in Financial Services / Banking domain
• Exposure to recommendation systems, personalization, or conversational AI
• Knowledge of customer journey analytics, sentiment analysis, or automation workflows
• Experience working in product-based or large-scale enterprise environments

Role Type

• Individual Contributor (Hands-on)
• High ownership role with cross-functional collaboration

What We’re Looking For

• Strong technologist with the ability to bridge traditional engineering and AI
• Hands-on problem solver with a product mindset
• Ability to work in a fast-evolving AI landscape and drive innovation

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