Role at a glance
- Job function
-
AI & Data Generative AI Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- New York New York United States, United States
- Work arrangement
- Hybrid
- Experience
- Senior Level 10+ years of relevant software engineering experience, with 7+ years in backend/distributed systems and 2+ years building and deploying production LLM/agentic applications.
- Education
- Bachelor’s/University degree or equivalent experience; Master’s degree preferred.
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Role Summary
The Lead / Staff Forward Deployed Engineer serves as the technical anchor for an embedded LOB delivery pod, architecting and deploying agentic workflows for business use cases. The role leads complex integrations with core banking systems and sets technical standards for the squad.
What You'll Do
- Lead technical problem-solving and architecture alongside LOB engineering squads.
- Architect and build agentic workflows using Python, ADK, LangGraph, and the Arc platform.
- Integrate with core banking systems, databases, and microservices using custom Model Context Protocol servers.
- Implement enterprise security controls for agent executions, including mTLS, OAuth2 token delegation, HashiCorp Vault, and OpenShift...
- Mentor C12 and C13 engineers through code reviews, architecture critiques, and security assessments.
- Partner with the C15 Principal AI Architect on design patterns, enterprise agent blueprints, and reusable components.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Mastery of Python, asynchronous programming (asyncio), state machines, Docker/OpenShift, and distributed microservices architectures; expertise integrating enterprise APIs, relational/NoSQL databases, and Kafka event streams into agent reasoning loops; deep knowledge of application security, zero-trust patterns, and safe tool execution; strong leadership, mentoring, communication, and stakeholder collaboration skills.
Required
- Python, asynchronous programming (asyncio), state machines, Docker/OpenShift, and distributed microservices architectures
- Integrating enterprise APIs, relational/NoSQL databases, and event streams (Kafka) into agent reasoning loops
- Application security, zero-trust patterns, and safe tool execution environments
- Leadership and mentoring capabilities, communication, and stakeholder collaboration skills
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Lead / Staff Forward Deployed Engineer is a senior technical leadership position responsible for serving as the technical anchor within an embedded LOB delivery pod. The overall objective of this role is to architect, develop, and deploy end-to-end agentic workflows for flagship LOB use cases, leading complex technical integrations with core banking backends, and setting technical standards for the squad.
Responsibilities:
- Serves as the senior technical anchor collocated with LOB engineering squads, leading technical problem-solving and architecture on the front lines of agent deployments.
- Architects and builds end-to-end agentic workflows using Python, ADK, LangGraph, and the Arc platform for high-impact business use cases.
- Leads deep technical integrations with sensitive core banking systems, databases, and microservices via custom Model Context Protocol (MCP) servers.
- Implements robust enterprise security controls for agentic executions, including mTLS, OAuth2 token delegation, HashiCorp Vault, and OpenShift container security.
- Mentors C12 and C13 engineers within the pod, conducting rigorous code reviews, architecture critiques, and security assessments.
- Partners closely with the C15 Principal AI Architect to evaluate field design patterns and contribute to enterprise agent blueprints and reusable components.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
- 10+ years of relevant software engineering experience, with 7+ years in backend/distributed systems and 2+ years building and deploying production LLM/agentic applications.
- Mastery of Python, asynchronous programming (asyncio), state machines, Docker/OpenShift, and distributed microservices architectures.
- Demonstrated expertise in integrating enterprise APIs, relational/NoSQL databases, and event streams (Kafka) into agent reasoning loops.
- Deep knowledge of application security, zero-trust patterns, and safe tool execution environments.
- Strong leadership and mentoring capabilities, with excellent communication and stakeholder collaboration skills.
Education:
- Bachelor’s/University degree or equivalent experience; Master’s degree preferred.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
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Primary Location:
New York New York United States------------------------------------------------------
Primary Location Full Time Salary Range:
$176,720.00 - $265,080.00
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:
Oct 22, 2026------------------------------------------------------
Automated Processing and AI
We 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.
About the company
Citi
Large Enterprise
Citi is a global financial services corporation that offers a wide range of financial products and services, including consumer banking, credit, investment banking, and wealth management. With a presence in nearly 100 countries, Citi serves millions of customers, from individuals and small businesses to large corporations and governments. The company is dedicated to innovation and sustainability, actively working to support economic growth while addressing environmental and social challenges. Citi’s commitment to providing exceptional service and fostering diverse talent makes it a prominent choice for students aspiring to build a career in finance and banking.