Senior AI/ML Engineer - Vice President

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Fintech • Financial Services
The Role
Lead design and delivery of large-scale AI/ML systems, microservices, and data engineering pipelines. Build and deploy LLM-based solutions using modern ML frameworks, cloud-native architectures, CI/CD, and observability while managing stakeholders and enterprise agile delivery in financial services.
Summary Generated by Built In
  • Strong expertise with 10+ years in microservices, RESTful APIs, and distributed architectures.
  • Experience in the following AI/ML technologies
    • Development: Python, FastAPI, Java, Spring AI, Async Programming
    • Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
    • Machine Learning: PyTorch, TensorFlow, Fine-tuning
    • AI Frameworks: Google’s ADK, LangChain, LlamaIndex, Hugging Face
    • Orchestration: LangGraph, Multi-Agent Systems
    • Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
    • Deployment: Docker, Production APIs, Monitoring
    • Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization
  • Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies.
  • Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP).
  • Familiarity with React or Angular, TypeScript, and modern front-end frameworks.
  • Strong understanding of SAFe Agile framework and enterprise-scale agile delivery.
  • Knowledge of DevOps, CI/CD, container orchestration, and observability tools.
  • Experience in large-scale financial services enterprise environments.
  • Excellent communication, stakeholder management, and executive reporting skills.

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:Full time

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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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.

Skills Required

  • 10+ years experience with microservices, RESTful APIs, and distributed architectures
  • Experience with Python, FastAPI, Java, Spring AI, and async programming
  • Experience with foundational models and LLMs: Gemini, OpenAI, Claude, Llama, local models
  • Machine learning frameworks: PyTorch, TensorFlow, and fine-tuning experience
  • Experience with AI frameworks and tooling: Google ADK, LangChain, LlamaIndex, Hugging Face
  • Experience with LangGraph, multi-agent systems, and RAG techniques
  • Experience with retrieval stacks: PostgreSQL and vector databases
  • Deployment experience: Docker, production APIs, monitoring and observability
  • Prompt engineering, workflow design, and GenAI optimization experience
  • Deep data engineering experience: ETL/ELT, data warehouses/lakes, batch and stream processing, data modeling, governance, big data technologies
  • Cloud-native architecture experience and proficiency with AWS, Azure, and/or GCP
  • Familiarity with front-end frameworks: React or Angular and TypeScript
  • Knowledge of SAFe Agile framework and enterprise-scale agile delivery
  • Knowledge of DevOps practices, CI/CD, container orchestration, and observability tools
  • Experience in large-scale financial services enterprise environments
  • Excellent communication, stakeholder management, and executive reporting 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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Kwun Tong, Kowloon
223,850 Employees

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.

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