GenAI Engineering and Transformation Senior Manager

Posted Yesterday
Be an Early Applicant
Tampa, FL, USA
In-Office
170K-300K Annually
Senior level
Fintech • Financial Services
The Role
Lead enterprise adoption of Generative AI and LLMs by architecting scalable solutions, building AI agents and RAG applications, mentoring teams, driving product-focused delivery, implementing guardrails and model risk controls, and collaborating across technology and vendor partners to operationalize GenAI capabilities.
Summary Generated by Built In

This role is for an innovative GenAI Engineering and Transformation Senior Manager (Hybrid) to drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. The successful candidate will contribute to the technical direction of products and services, in still engineering best practices. This position involves close collaboration with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes, and to develop partnerships with third-party providers for validating and adopting best-of-breed solutions.

  • Contribute significantly to both engineering and research initiatives within the Generative AI domain.

  • Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions.

  • Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems.

  • Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy.

  • Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution.

  • Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs).

  • Drive the enterprise-wide adoption and successful integration of Generative AI solutions.

  • Demonstrate strong problem-solving capabilities and a proactive learning mindset, continuously acquiring new skills.

  • Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders.

  • Be adaptable and resourceful in navigating complex technical and organizational challenges

  • Appropriately assess risk when business decisions are made, demonstrating sound ethical judgment and particular consideration for the firm's reputation, its clients and assets

Required Technical Expertise:

  • Deep hands-on experience in engineering and executing enterprise solutions that scale effectively.

  • Tean building, people management, and mentoring skills.

  • Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript/Typescript and Golang is also highly valued.

  • Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms.

  • Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, LangChain, LangGraph, ADK, and MLFlow.

  • Familiarity with one of the major cloud platforms including AWS, GCP, or Azure

  • Experience in building complex RAG applications

  • Experience in building AI Agent workflows using an AI orchestration platform such as LangGraph, Crew AI, Autogen or ADK

  • Proficiency in database technologies, such as Oracle, Postgres, or MongoDB.

  • Experience with messaging and integration platforms.

  • UI development skills with technologies such as React JS, Gradio, StreamLit.

  • Experience designing and implementing REST and WebSocket APIs.

  • Familiarity with one of the major cloud platforms including AWS, GCP, or Azure

  • Strong knowledge of infrastructure tools, including Docker, Kubernetes, Terraform, and Helm.

  • Experience with build and deployment (CI/CD) tools such as Jenkins and Gradle.

  • Good engineering experience with high-performance, large-scale AI/ML systems.

  • Experience in model risk management, guardrails development, and developing end-user adoption pathways for AI/GenAI solutions.

General Experience & Qualifications:

  • 15+ years of strong hands-on experience with Agile delivery, product management, and value stream methodologies.

  • Proven track record in producing high-quality project artifacts and senior management reports within technology or risk & controls domains.

  • Demonstrated ability to structure and lead product working groups, driving consensus on requirements and facilitating the development and implementation of processes, data, and system designs.

  • Motivated self-starter with the ability to quickly learn new skills and effectively navigate complex organizational structures.

  • Education:

  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

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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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Primary Location:Tampa Florida United States

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Primary Location Full Time Salary Range:$170,000.00 - $300,000.00


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:Aug 05, 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

  • Deep hands-on experience engineering and executing enterprise-scale solutions
  • Team building, people management, and mentoring skills
  • Fluency in at least two programming languages
  • Python
  • Java
  • JavaScript/TypeScript
  • Golang
  • Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms
  • Experience with frameworks: Spring, N8N, Flask, LangChain, LangGraph, ADK, MLflow
  • Familiarity with one major cloud platform (AWS, GCP, or Azure)
  • Experience building complex RAG applications
  • Experience building AI Agent workflows using orchestration platforms (LangGraph, Crew AI, Autogen, ADK)
  • Proficiency with databases such as Oracle, Postgres, or MongoDB
  • Experience with messaging and integration platforms
  • UI development skills (React, Gradio, StreamLit)
  • Experience designing and implementing REST and WebSocket APIs
  • Strong knowledge of infrastructure tools: Docker, Kubernetes, Terraform, Helm
  • Experience with CI/CD and build tools such as Jenkins and Gradle
  • Engineering experience with high-performance, large-scale AI/ML systems
  • Experience in model risk management, guardrails development, and driving end-user adoption for GenAI solutions
  • 15+ years hands-on experience with Agile delivery, product management, and value stream methodologies
  • Bachelor's degree or equivalent experience (Master's preferred)

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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