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
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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.
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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:Jul 02, 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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 3+ years of experience in AI/ML engineering
- 6+ years overall engineering experience
- Strong proficiency in Python and backend development
- Hands-on experience with ADK for building and orchestrating agents
- Experience with LangChain or similar LLM frameworks
- Proven experience delivering production-grade systems in enterprise environments
- Strong understanding of API integration and distributed systems
- Experience working in regulated industries (Financial Services preferred)
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
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