C

Citi

Runs banking and payments for global clients

Forward Deployed Engineer - AI Transformation, Senior Vice President

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTampa, FL, USAHybrid

About the Job

Requirements

  • 3–5+ years of experience in a hands-on technical role such as software engineering, data science, or machine learning engineering.
  • Deep, hands-on experience with large language models and AI agents, core supervised and unsupervised machine learning concepts, natural language processing, and data modeling.
  • Ability to understand business challenges and translate them into technical requirements and solutions.
  • A proactive and analytical approach to problem-solving, with a track record of delivering innovative solutions.

Responsibilities

  • Work with business stakeholders to analyze existing business processes, workflows, and pain points, and identify and prioritize opportunities for AI impact.
  • Design and rapidly prototype AI-powered solutions, including proof-of-concepts and, where appropriate, minimum viable products, to demonstrate feasibility and value.
  • Act as a technical translator and liaison between nontechnical business users and core engineering teams, ensuring requirements are understood and solutions are fit for purpose.
  • Maintain an understanding of the evolving AI landscape, including tools, techniques, and best practices in machine learning, natural language processing, and generative AI.
  • Define key performance indicators to measure the effectiveness and return on investment of AI initiatives.
  • Participate in creating documentation for AI-driven processes and provide training and support to business users to support adoption.
  • Drive adoption of reference solutions in business contexts and apprentice future experts to support the sustainability and scalability of AI capabilities.

Desired Qualifications

  • Prior experience in a forward-deployed, consulting, or client-facing technical role.
  • Hands-on experience with major cloud platforms such as Amazon Web Services, Google Cloud, and Azure, and their AI/ML services such as SageMaker, Vertex AI, and Azure Machine Learning.
  • Familiarity with data engineering principles, including ETL/ELT processes, data warehousing, and working with large datasets.
  • Knowledge of a business domain such as payments, finance, or financial-services operations.

About the Company

Citi

Runs banking and payments for global clients

Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1812

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