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AI Lead Engineer Banking Technology

Job in Allentown, Lehigh County, Pennsylvania, 18103, USA
Listing for: Citi
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: AI Lead Engineer for Banking Technology

AI Lead Engineer, Banking Technology SVP (Hybrid)

Citi's Banking Technology organization is seeking an exceptional full stack hands-on AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions for the banking sector. This pivotal role involves architecting and implementing a scalable agentic AI framework, translating complex ideas into robust, production-ready systems, and driving tangible business value within Citi. The ideal candidate will be a hands-on technical leader with deep expertise in AI principles, agent-based systems, machine learning, and advanced software engineering practices.

Key Responsibilities
  • Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security.
  • Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions.
  • Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments to achieve continuous improvement and quick "time to value."
  • Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement.
  • Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies.
  • Provide hands‑on technical leadership, guiding architectural decisions, and fostering collaboration with cross‑functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services.
  • Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders.
Qualifications
  • Deep hands‑on experience in engineering and executing scalable enterprise solutions.
  • Expert‑level proficiency in Python (e.g., FastAPI, Django, Flask, PySpark) or Java (e.g., Spring Boot, Spring Cloud, Spring Security).
  • Proficiency in UI (e.g., Angular, React, Next.js, Node.js, Type Script) for full‑stack development.
  • Proficiency in database technologies, such as Oracle,Postgres, orMongo

    DB.
  • Solid understanding of core AI concepts, including knowledge representation, automated planning, decision‑making under uncertainty, and multi‑agent systems.
  • Hands‑on experience with relevant frameworks (e.g., Lan Graph, Lang Chain, Auto Gen, CrewAI, N8N).
  • Extensive experience with machine learning frameworks (e.g., Tensor Flow, PyTorch) and relevant libraries (e.g., Scikit‑Learn, Num Py, Pandas).
  • Proven experience in creating, deploying, and integrating MCPs (Model Context Protocol) into agentic AI systems.
  • Deep familiarity with large language models (LLMs) such as ChatGPT, Claude, Gemini, and Llama, including their application within agentic systems.
  • Demonstrated experience in designing and implementing robust APIs for AI services.
  • Proficient in software development best practices, including version control (Git), CI/CD pipelines, comprehensive testing, and code reviews. Strong understanding of agile methodologies, application resiliency, and security principles applied to complex AI projects. Proven expertise in system design, application development, and ensuring operational stability for AI initiatives.
  • Deep experience with application and data architecture patterns and designs. Experience leveraging managed services and existing platforms, with a strong emphasis on API‑First Design, microservices, and event‑driven architectures.
  • Hands‑on experience with Docker and Kubernetes.
  • Excellent analytical and innovative problem‑solving skills, with a pragmatic and creative approach to overcoming complex technical challenges.
  • Previous experience within the banking or financial services industry, understanding regulatory environments and specific challenges a plus.
Work Experience
  • 10+ years of progressive software engineering experience with a strong emphasis on hands‑on coding, demonstrating a proven track record of rapid delivery and successfully launching…
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