Vice President Jobs

About The Position

Requirements

• 5+ years of professional experience in software development, solution architecture, consulting, operations, or a related technical or business improvement role, with demonstrated hands-on expertise building Generative AI/LLM solutions.
• Proven track record of process analysis and reengineering.
• Strong familiarity with LLMs. Understanding of how they work, their strengths, limitations, hallucination risks, and appropriate use cases.
• Proficiency in conversational coding commonly used in AI development.
• Familiarity with prompt engineering techniques and best practices.
• Understanding of data privacy, security, and regulatory considerations relevant to AI in financial services.
• Practical, results-driven mindset focused on outcomes over outputs; solutions-oriented.
• Self-directed and autonomous, comfortable owning projects end-to-end with minimal supervision.
• Strong analytical and critical thinking skills with the ability to deconstruct complex problems and articulate technical concepts to non-technical stakeholders.
• Comfort with ambiguity; you can navigate undefined problem spaces and shape them into structured initiatives.
• Bachelor's degree preferred

Nice To Haves

• Industry experience in financial services is strongly preferred.
• Experience with workflow automation tools and platforms (e.g., RPA, low-code/no-code platforms) as complementary to AI solutions.
• Experience working in banking, capital markets, insurance, asset management, or other financial services domains.
• Familiarity with compliance and regulatory frameworks (e.g., explainability requirements).

Responsibilities

• Design, develop, and deploy production-grade AI solutions via our internal Citi Stylus platform.
• Apply advanced techniques, including Retrieval-Augmented Generation (RAG), AI agent development, prompt engineering, and fine-tuning strategies.
• Lead use-case discovery sessions then evaluate, develop, and integrate appropriate solutions, while considering cost, complexity, latency, and compliance.
• Develop and maintain dynamic knowledge graphs to map Wealth's intelligence assets, creating summaries and thematic reporting for strategic insights.
• Develop robust prompt engineering frameworks and templates to ensure consistent, high-quality AI outputs.
• Implement guardrails, content filtering, and output validation mechanisms to ensure responsible and compliant AI usage, particularly within financial services contexts.
• Partner with business stakeholders to analyze existing workflows and processes, identifying opportunities where AI can drive meaningful improvement.
• Lead process reengineering initiatives — redesigning end-to-end workflows to natively incorporate AI capabilities rather than simply layering AI on top of legacy processes.
• Create comprehensive documentation including solution blueprints, process maps, and technical guides to support knowledge sharing and change management efforts.
• Independently manage the full solution lifecycle — from discovery and prototyping through development, testing, deployment, and iteration.
• Write clean, well-documented, and maintainable prompts and instructions following best practices.
• Contribute to internal knowledge sharing through documentation, demos, and technical presentations.
• Facilitate the capture, analysis, and dissemination of insights from past incidents and successes.
• Manage and track operational escalations to ensure timely resolution.
• Contribute to the identification, assessment, and reporting of operational risk events to uphold organizational resilience and compliance standards.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays