VP Senior AI/AML Engineer

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 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

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

• 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)

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

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

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.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

May 20, 2026

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.