Ai Lead Engineer, Technical Lead - Services Ai Platform
$120.8k - $170.8k per yearCiti
Citi is hiring an AI Lead Engineer, Technical Lead to build and shape the engineering foundation of its Services AI Platform, a multi-tenant, production-grade ecosystem where agentic AI meets enterprise scale. This player-coach role combines hands‑on coding with technical direction, giving you ownership over a platform built for trust, resilience, and scalability. You will turn complex enterprise workflows into intelligent, automated systems that deliver measurable impact across Citi's global operations.
Responsibilities
Build full-stack AI platform components using Python and Angular, including large language model fine-tuning interfaces and experiment tracking dashboards.
Design and optimize multi-tenant intelligent agents using modular orchestration patterns such as ReAct and ReWOO to power scalable, production-ready agentic workflows.
Build Model Context Protocol servers that enforce clean, decoupled communication layers so agents interact only through defined API boundaries.
Develop advanced retrieval-augmented generation pipelines, including Knowledge Graph RAG, LightRAG, and RAPTOR hierarchical summary architectures, to enable sophisticated enterprise data retrieval.
Integrate vector and graph databases such as Neo4j and pgvector to support complex, thematic data retrieval at platform scale.
Design precise prompt and intent classification logic that prevents workflow collisions and ensures accurate handling of agent instructions.
Partner with subject matter experts to translate domain knowledge into automated, agent-driven solutions.
Collaborate with UI and API teams to deliver seamless end-to-end integrations across the platform.
Required Qualifications & Skills
10 or more years of software engineering experience, including at least 5 years focused on AI and machine learning solutions delivered in production environments.
2 or more years of hands‑on experience in generative AI, including large language model development, retrieval-augmented generation, and prompt engineering.
3 or more years leading technical teams and owning end-to-end delivery of complex software or AI platforms.
Deep practical experience with AWS infrastructure and services for AI and machine learning workloads.
A demonstrated portfolio of AI solutions deployed into live business environments, showing both technical depth and delivery ownership.
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field
What We Offer
Hybrid working model with 3 days in the office and 2 days working remotely, giving you structure alongside genuine flexibility.
Access to cutting-edge AI infrastructure, tools, and frameworks that keep you at the leading edge of the field.
Continuous learning and development support, including access to technical training, industry conferences, and structured career growth pathways.
The opportunity to lead high-impact engineering at global scale, with your work directly influencing how Citi builds and deploys intelligent automation across the enterprise.
Competitive compensation and a comprehensive financial wellbeing package reflective of a Vice President-level position at a leading global institution.
Wellbeing support programs that help you maintain balance and perform at your best over the long term.
Build the AI platform that powers Citi's next generation of intelligent automation — and bring your engineering leadership to one of the most technically ambitious platforms in global financial services
Job Family Group:Job Family:Time Type:Full time
Primary Location Full Time Salary Range:$120,800.00 - $170,800.00
Most Relevant SkillsPlease see the requirements listed above.
Other Relevant SkillsFor complementary skills, please see above and/or contact the recruiter.
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.
This job opening is for an existing job vacancy.
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.
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Responsibilities
Build full-stack AI platform components using Python and Angular, including large language model fine-tuning interfaces and experiment tracking dashboards.
Design and optimize multi-tenant intelligent agents using modular orchestration patterns such as ReAct and ReWOO to power scalable, production-ready agentic workflows.
Build Model Context Protocol servers that enforce clean, decoupled communication layers so agents interact only through defined API boundaries.
Develop advanced retrieval-augmented generation pipelines, including Knowledge Graph RAG, LightRAG, and RAPTOR hierarchical summary architectures, to enable sophisticated enterprise data retrieval.
Integrate vector and graph databases such as Neo4j and pgvector to support complex, thematic data retrieval at platform scale.
Design precise prompt and intent classification logic that prevents workflow collisions and ensures accurate handling of agent instructions.
Partner with subject matter experts to translate domain knowledge into automated, agent-driven solutions.
Collaborate with UI and API teams to deliver seamless end-to-end integrations across the platform.
Required Qualifications & Skills
10 or more years of software engineering experience, including at least 5 years focused on AI and machine learning solutions delivered in production environments.
2 or more years of hands‑on experience in generative AI, including large language model development, retrieval-augmented generation, and prompt engineering.
3 or more years leading technical teams and owning end-to-end delivery of complex software or AI platforms.
Deep practical experience with AWS infrastructure and services for AI and machine learning workloads.
A demonstrated portfolio of AI solutions deployed into live business environments, showing both technical depth and delivery ownership.
Education
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field
What We Offer
Hybrid working model with 3 days in the office and 2 days working remotely, giving you structure alongside genuine flexibility.
Access to cutting-edge AI infrastructure, tools, and frameworks that keep you at the leading edge of the field.
Continuous learning and development support, including access to technical training, industry conferences, and structured career growth pathways.
The opportunity to lead high-impact engineering at global scale, with your work directly influencing how Citi builds and deploys intelligent automation across the enterprise.
Competitive compensation and a comprehensive financial wellbeing package reflective of a Vice President-level position at a leading global institution.
Wellbeing support programs that help you maintain balance and perform at your best over the long term.
Build the AI platform that powers Citi's next generation of intelligent automation — and bring your engineering leadership to one of the most technically ambitious platforms in global financial services
Job Family Group:Job Family:Time Type:Full time
Primary Location Full Time Salary Range:$120,800.00 - $170,800.00
Most Relevant SkillsPlease see the requirements listed above.
Other Relevant SkillsFor complementary skills, please see above and/or contact the recruiter.
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.
This job opening is for an existing job vacancy.
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.
#J-18808-Ljbffr
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