Machine Learning Engineer - VP

Machine Learning Engineer – VP

Position at Citigroup (Citi) in Jersey City, New Jersey. Full‑time; salary range $142,320 – $213,480 per year, with additional incentive and retention awards possible.

We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting‑edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end‑to‑end platform services with a focus on scalability, reliability, and performance. You will drive the implementation of new AI‑driven systems and programs that impact all business lines at Citi globally.

• Architect and Build AI Solutions: design and architect end‑to‑end platform capabilities and services that integrate with Generative AI technologies.
• Implement RAG Solutions: develop and deploy solutions using Vector
  
  RAG and Graph
  
  RAG techniques with both open‑source and commercial LLMs.
• Develop AI Workflows: apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.
• Drive Dev Ops Best Practices: implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.
• End‑to‑End Project Ownership: manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.
• Rapid Prototyping: perform and lead quick proof‑of‑concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.
• Ensure System Integrity: assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.
• Collaborate and Innovate: work closely with cross‑functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.

• 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.
• Strong object‑oriented programming skills with expert‑level proficiency in Python.
• Deep experience with AI/ML frameworks (e.g., Langchain) and hands‑on experience with Generative AI technologies and LLMs.
• Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.
• Strong, working knowledge of Dev Ops tools (e.g., Jenkins, Git Lab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.
• Solid understanding of modern software development practices, including microservices architecture and API design principles.
• Experience with various data storage solutions (No
  
  SQL, SQL, data lakes) and data pipeline orchestration.
• Excellent analytical and problem‑solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.

• Experience with various cloud platforms (AWS, GCP, Azure) and architectures (single/multi‑tenant).
• Experience designing and implementing microservices‑based architectures for large‑scale platforms in complex environments.
• Demonstrated leadership, project management skills, and a proven track record of self‑motivation and continuous learning.

Benefits: Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off packages (vacation, sick leave, holidays); and other incentives. For additional information regarding Citi employee benefits, please visit

Anticipated Posting Close Date:
Dec 26, 2025

Citi is an equal‑to‑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.

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