Senior AI AML Engineer

Senior AI AML Engineer

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 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.

Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer 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.

Key Responsibilities:

• Design and develop LLM-powered applications and agentic systems using frameworks such as Lang Chain 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, Web Sockets)
• 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

Qualifications:

• 3+ years of experience in AI/ML engineering and over all engineering experience of 6+ years
• Strong proficiency in Python and backend development
• Hands-on experience with:
• ADK (Agent Development Kit) for building and orchestrating agents
• Lang Chain 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)

Preferred

Skills:

• 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)

Education:

• Bachelor's degree in Computer Science, Engineering, or related field