SVP Apps Dev Tech Senior Lead Analyst

CitiNew York, NY
Onsite

About The Position

Citi is seeking a highly experienced Apps Dev Tech Senior Lead Analyst specializing in AI / AML Engineering to lead the development of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing, implementing, and scaling LLM-powered systems using modern agent frameworks, including ADK (Agent Development Kit), while ensuring compliance with risk, governance, and regulatory standards. The successful candidate will combine deep technical expertise in AI engineering with strong understanding of financial services, AML, and enterprise controls, and will partner across Technology, Product, Risk, and Compliance teams.

Requirements

  • 8–12+ years of experience in software engineering or 5+ years of AI/ML engineering
  • Strong proficiency in Python and backend development
  • Hands-on experience with: ADK (Agent Development Kit) for building and orchestrating agents
  • LangChain or similar LLM frameworks
  • LLM / GenAI systems (RAG, agents, tool chaining)
  • Proven experience delivering production-grade systems in enterprise environments
  • Strong understanding of API integration, distributed systems, and microservices architecture
  • Experience working in regulated industries (Financial Services preferred)

Nice To Haves

  • Experience building multi-agent systems with ADK or similar frameworks
  • Familiarity with LLM platforms such as Gemini, OpenAI, or Vertex AI
  • Knowledge of AML systems, financial crime detection, or compliance workflows
  • Experience implementing AI guardrails, evaluation frameworks, and observability tools
  • Exposure to real-time AI systems (voice, streaming, event-driven architectures)
  • Experience with cloud platforms (GCP, AWS, Azure)

Responsibilities

  • Design and develop LLM-powered applications and agentic systems using frameworks such as LangChain and ADK (Agent Development Kit)
  • Build and manage multi-agent orchestration, tool chaining, and workflow automation
  • Develop robust guardrails (input/output validation) to ensure safe and compliant AI behavior
  • Integrate AI solutions with enterprise APIs, data platforms, and internal systems
  • Design real-time and asynchronous AI pipelines (REST APIs, streaming, WebSockets)
  • Partner with Risk, Compliance, and Model Governance teams to support MRM validation and approvals
  • Lead end-to-end delivery of AI solutions from concept through production deployment
  • Provide technical leadership and mentorship to engineering teams
  • Drive best practices, standards, and reusable frameworks for AI engineering
  • Ensure observability, monitoring, and performance optimization of AI systems

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
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