AI Lead Engineer, Technical Lead - Services AI Platform

Job summary

The AI Lead Engineer will build and shape the engineering foundation of the Services AI Platform by developing full-stack components and intelligent agent workflows. This role involves partnering with subject matter experts to translate domain knowledge into automated, agent-driven solutions while ensuring platform scalability and trust.

Job details

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 At Citi, you will work at the forefront of enterprise AI engineering within a global platform team that values technical excellence, collaboration, and meaningful business impact. This is a role where your code ships to production, your architectural decisions shape the platform, and your leadership directly influences the capability and performance of the team around you. 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 — apply now and bring your engineering leadership to one of the most technically ambitious platforms in global financial services ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $120,800.00 - $170,800.00 ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ 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. ------------------------------------------------------ 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.

What you’ll do

The AI Lead Engineer will build and shape the engineering foundation of the Services AI Platform by developing full-stack components and intelligent agent workflows. This role involves partnering with subject matter experts to translate domain knowledge into automated, agent-driven solutions while ensuring platform scalability and trust.

Requirements

Candidates must have 10+ years of software engineering experience, including at least 5 years in AI/ML and 3 years in technical leadership. A Bachelor’s or Master’s degree in a relevant field is required, along with deep practical experience in AWS and generative AI technologies.

Benefits

• Hybrid working model
• Continuous learning and development support
• Access to cutting-edge AI infrastructure
• Competitive compensation
• Financial wellbeing package
• Wellbeing support programs

Listed skills

• Angular · Preferred
• React · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Angular
• Generative AI
• Large Language Models
• Retrieval-Augmented Generation
• Prompt Engineering
• AWS
• Neo4j
• Pgvector
• Knowledge Graph
• ReAct
• ReWOO
• Model Context Protocol
• Machine Learning
• Technical Leadership
• Software Engineering
• Dashboard
• Communication
• Operations
• Workflow Management
• Leadership
• Decision Making
• Data Science
• Amazon Web Services
• Generative Artificial Intelligence
• Artificial Intelligence Infrastructure
• Financial Services
• Artificial Intelligence
• Resilience
• Continuous Development
• Application Programming Interface (API)
• Python (Programming Language)
• Business Continuity Planning
• Scalability
• Computer Science
• Automation
• React.js (Javascript Library)
• Full Stack Development
• Angular (Web Framework)
• Technical Training
• Domain Knowledge
• Multi-Tenant Cloud Environments
• Telecommuting
• Edge Intelligence
• Machine Learning Model Monitoring And Evaluation
• Retrieval Augmented Generation
• Large Language Modeling
• Agentic AI
• Intelligent Automation
• Model Context Protocol (MCP)

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting
• Technical Lead Engineer
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers

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