Job Description
We are building the most consequential AI solutions in Funds Transfer Pricing and Financial Hedging platforms, and we are looking for a Senior AI Engineer to design & develop Agentic AI solutions for these domains.
The ideal candidate is visionary engineer, passionate about architecting and building sophisticated AI agents from concept to production.
In this position, you will be responsible for creating agentic solutions that automate complex workflows, enhance critical decision-making, and deliver scalable, cutting-edge technology at a global scale.
Responsibilities:
Advanced Agent and Model Development
- Design and orchestrate complex multi-agent systems where autonomous agents collaborate, coordinate, negotiate, and delegate tasks to solve business problems that exceed the capabilities of a single agent.
- Design and implement advanced planning and reasoning capabilities using techniques such as knowledge graphs for relationship-aware reasoning, rule-based and symbolic reasoning for deterministic business decisions, and planning/search algorithms to execute complex multi-step workflows reliably and efficiently.
- Develop resilient and adaptive agent architectures with mechanisms for feedback-driven improvement, error recovery, self-correction, and dynamic replanning to enhance reliability, accuracy, and task completion rates.
- Integrate large language models (LLMs), predictive models, and reasoning frameworks to expand agent capabilities, improve decision quality, and support complex business workflows.
- Design and optimize Retrieval-Augmented Generation (RAG) architectures, including embedding strategies, vector databases, retrieval pipelines, reranking, and context management to maximize response accuracy and relevance.
- Design and develop APIs, tools, and microservices that enable seamless integration of AI capabilities with enterprise applications, databases, and business platforms.
Performance and Optimization
- Optimize AI systems for low latency and high throughput. Implement advanced techniques such as response streaming and caching, while ensuring cost-effectiveness through strategic model selection and rigorous token usage optimization.
Technical Leadership and Strategy
- AI Research and Strategy: Act as a subject matter expert, driving the technical strategy for AI within the Funds Transfer Pricing and Financial Hedging domains by staying abreast of state-of-the-art research and identifying opportunities for innovation.
- Mentorship and Technical Guidance: Mentor junior engineers on AI best practices and provide technical leadership across multiple project teams, fostering a culture of engineering excellence.
Required Qualifications & Skills
- 12+ years of professional experience in software development and system design, with a proven track record of delivering large-scale systems
- Professional experience in software development and system design.
- Proficiency in Python and SQL, with experience in production-quality Agentic AI development; applied experience with frameworks like LangChain, LlamaIndex, or equivalents.
- A proven track record of architecting multi-agent systems using frameworks like Google ADK, LangGraph, AutoGen or CrewAI. This includes hands-on experience with planning/reasoning, memory systems, MCP and Vector DBs
- Practical knowledge of LLMs and their application within agentic architectures, including API design and integration for AI services.
- Demonstrated mastery of Prompt and Context Engineering, including the ability to structure and compress information for optimal model performance.
Beneficial Qualifications & Skills
- Experience working in the financial services industry.
- Proficiency in Java as an additional programming language.
Education
- Bachelor’s degree/University degree in Computer Science or a related field.
- Master's degree preferred
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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
- 12+ years of experience in data engineering or distributed systems
- Strong expertise in Apache Spark, including JavaSpark or PySpark
- Experience with Databricks on AWS
- Experience with Delta Lake
- Experience with SQL
- Experience with AWS services and large-scale distributed data processing
- Experience modernizing or refactoring legacy data platforms into cloud-based architectures
- Strong background in Spark performance tuning and large-scale batch optimization
- Ability to translate architecture into implementable technical designs
- Understanding of data modeling and pipeline orchestration patterns
- Bachelor's degree, university degree, or equivalent experience
- Strong problem-solving, communication, collaboration, and accountability skills
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.
