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:Technology Product Management------------------------------------------------------
Time Type:Full time------------------------------------------------------
Primary Location:Irving Texas United States------------------------------------------------------
Primary Location Full Time Salary Range:$138,720.00 - $208,080.00
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 31, 2026------------------------------------------------------
Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right
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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 AI/ML engineering experience and 6+ years overall engineering experience
- Proficiency in Python and backend development
- Hands-on experience with ADK (Agent Development Kit)
- Experience with LangChain or similar LLM frameworks
- Experience building 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
- Designing real-time and asynchronous AI pipelines (REST APIs, streaming, WebSockets)
- Bachelor's degree in Computer Science, Engineering, or related field
- Experience working in regulated industries (financial services preferred)
- Experience with cloud platforms (GCP, AWS, Azure)
- Familiarity with LLM platforms such as Gemini, OpenAI, or Vertex AI
- Experience implementing AI guardrails, evaluation frameworks, and observability tools
- Experience building multi-agent systems and multi-agent orchestration
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
What We Do
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.
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