Application Development Technology Senior Lead- Senior Vice President

Qualifications & Experience

• Education: Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience: 12+ years of experience in software engineering, with at least 2+ years in a leadership role, leading high-performing engineering teams.
• Hands-On Leader: Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.
• Platform Building: A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.
• Domain Knowledge: Experience in the financial services, especially Financial Analytics is a significant plus. An understanding of banking workflows and data is highly desirable.
• Communication Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals.

Technical Skills

• Backend & Distributed Systems Languages: Java full stack/Spring Boot (enterprise standard) and Python Go (plus) Architecture: Microservices, domain-driven design, event-driven systems APIs & Integration: REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB
• Languages: Java full stack/Spring Boot (enterprise standard) and Python Go (plus)
• Architecture: Microservices, domain-driven design, event-driven systems
• APIs & Integration: REST/gRPC; Apigee, Kong
• Data & Messaging: PostgreSQL/Oracle, MongoDB
• AI / GenAI / LLM & Agentic Frameworks: Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI) Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns Knowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation RAG & Knowledge Systems: End-to-end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance
• LLM & Agentic Frameworks: Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI)
• Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns
• Knowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation
• RAG & Knowledge Systems: End-to-end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization
• Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance
• Enterprise AI Integration & Data API- and event-driven integration of AI into enterprise workflows Data platforms: Databricks, Spark
• API- and event-driven integration of AI into enterprise workflows
• Data platforms: Databricks, Spark
• Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) CI/CD: GitHub Actions, Jenkins Observability: Splunk, ELK, Prometheus, Grafana
• Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency)
• Containers: Docker, Kubernetes (GKE/EKS)
• CI/CD: GitHub Actions, Jenkins
• Observability: Splunk, ELK, Prometheus, Grafana
• Security & Compliance Secure coding, API security, Zero Trust Data privacy, encryption, access control Regulatory compliance and AI governance (MRM)
• Secure coding, API security, Zero Trust
• Data privacy, encryption, access control
• Regulatory compliance and AI governance (MRM)

What We Offer

• A leadership role in a high-priority, transformative initiative with executive visibility.
• The opportunity to build a cutting-edge AI platform
• A competitive compensation package including salary and benefits.
• A collaborative and innovative culture that values technical excellence and business impact.

Qualifications

• 10+ years of relevant experience
• Experience in implementing projects
• Experience in systems analysis and programming of software applications
• Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
• Demonstrated knowledge of client core business functions
• Demonstrated leadership, project management, and development skills
• Relationship and consensus building skills

Education

Primary Location:

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Primary Location Full Time Salary Range:

• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills

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Automated Processing and AI