Forward Deployed Engineer, AI Transformation -Senior Vice President

Posted Yesterday
Be an Early Applicant
Tampa, FL, USA
Hybrid
141K-212K Annually
Senior level
Financial Services
The Role
Design and prototype AI-powered solutions that transform business processes. Partner with business and technology leaders to identify automation opportunities, translate business needs into technical requirements, develop AI agents and proof-of-concepts, measure impact, document solutions, train users, and support scalable adoption. The role requires hands-on expertise in LLMs, machine learning, NLP, data modeling, and strong communication with technical and nontechnical stakeholders.
Summary Generated by Built In

We are seeking a highly motivated and innovative Forward Deployed Engineer to join our dynamic team. In this pivotal role, you will be at the forefront of our AI transformation journey, partnering directly with

business process owners and technology leaders to fundamentally reimagine and re-engineer core business processes. You will help define principled approaches to agentic solution design and create reference solutions that leverage the power of Artificial Intelligence to set new standards for efficiency and innovation.

The ideal candidate is a creative problem-solver with a unique blend of technical expertise, business acumen, and a passion for AI. You will act as the crucial bridge between business needs and technical solutions, identifying opportunities for AI-driven automation and bringing those concepts to life. A key part of your role will be to drive the adoption of these reference solutions within various business contexts and to

apprentice future experts, ensuring the onward sustainability and scalability of our AI capabilities. You will achieve this by leveraging the full breadth and depth of Citi AI capabilities, including our growing set of AI agents.


Key Responsibilities

  • Collaborate & Analyze: Work closely with business stakeholders to conduct in-depth analyses of existing business processes, workflows, and pain points. Identify and prioritize opportunities where AI can deliver maximum impact.
  • Solution Design & Prototyping: Design and rapidly prototype innovative AI-powered solutions. This includes developing proof-of-concepts (POCs) and where appropriate, minimum viable products (MVPs) to demonstrate feasibility and value.
  • Bridge Communication Gaps: Serve as a key technical translator and liaison between nontechnical business users and core engineering teams, ensuring requirements are clearly understood and solutions are fit-for-purpose.
  • Stay Current: Maintain a deep understanding of the rapidly evolving AI landscape, including new tools, techniques, and best practices in machine learning, natural language processing, and generative AI.
  • Measure & Optimize: Define key performance indicators (KPIs) to measure the effectiveness and ROI of AI initiatives.
  • Documentation & Training: Participate in the creation of comprehensive documentation for new AI-driven processes and provide training and support to business users to ensure successful adoption.

Qualifications & Required Skills

  • Professional Experience: 3-5+ years of experience in a hands-on technical role such as software engineering, data science, or machine learning engineering.

Description

  • AI/ML Knowledge: Deep, hands-on experience with LLMs and AI agents as well as core machine learning concepts (both supervised and unsupervised), natural language processing (NLP), and data modeling.
  • Business Acumen: Demonstrated ability to understand business challenges and translate them into technical requirements and solutions.
  • Communication Skills: Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts to a non-technical audience.
  • Problem-Solving: A proactive and analytical approach to problem-solving, with a track record of delivering innovative solutions.

Preferred Skills & Nice-to-Haves

  • Client-Facing Experience: Prior experience in a "forward deployed," consulting, or client facing technical role is highly desirable.
  • Cloud Platforms: Hands-on experience with major cloud platforms (AWS, Google Cloud, Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure ML).
  • Data Engineering: Familiarity with data engineering principles, including ETL/ELT processes, data warehousing, and working with large datasets.
  • Domain Expertise: Knowledge of a specific business domain such as payments, finance and operations in financial services firms.

Education:

  • Bachelor’s degree/University degree or equivalent experience

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Job Family Group: Technology

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Job Family:Applications Development

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Time Type:

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Primary Location:Tampa Florida United States

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Primary Location Full Time Salary Range:$141,440.00 - $212,160.00


In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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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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Anticipated Posting Close Date:Nov 09, 2026

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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.


Illinois residents – AI Notice and Right

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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

  • 3-5+ years of professional experience in a hands-on technical role such as software engineering, data science, or machine learning engineering
  • Deep hands-on experience with LLMs and AI agents
  • Knowledge of supervised and unsupervised machine learning concepts
  • Experience with natural language processing and data modeling
  • Ability to understand business challenges and translate them into technical requirements and solutions
  • Exceptional interpersonal and communication skills with technical and nontechnical audiences
  • Proactive and analytical problem-solving approach with a record of delivering innovative solutions
  • Bachelor's degree, university degree, or equivalent experience
  • Prior forward-deployed, consulting, or client-facing technical experience
  • Hands-on experience with AWS, Google Cloud, or Azure and associated AI/ML services
  • Familiarity with ETL/ELT, data warehousing, and large datasets
  • Domain expertise in payments, finance, or operations within financial services
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The Company
HQ: New York, NY
226,610 Employees
Year Founded: 1998

What We Do

Citigroup is a global diversified financial services holding company serving consumers, corporations, governments and institutions. It provides consumer banking and credit, corporate and investment banking, securities brokerage, trade and securities services, and wealth management. Operating across nearly 160 countries and jurisdictions, Citi aims to be a leading partner for institutions with cross-border needs, a global wealth manager, and a valued personal bank in the United States.

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