Agentic AI Engineer - Vice President

Citi; Tampa (FL); On-site; USD 125,600 - 188,400; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Paid time off packages

Job summary

A leading technology firm is seeking an Agentic AI Engineer in Tampa, Florida, to drive the design and deployment of advanced AI solutions. The ideal candidate will have 6-10 years of experience in AI/ML, strong command of Python, and proficiency with tools like TensorFlow and LangGraph. This role includes strategic planning, risk management, and mentorship for AI teams. The salary ranges from $125,600 to $188,400, with additional benefits including medical coverage and paid time off.

Qualifications

• 6-10 years of experience in AI/ML development.
• Experience in lead developer roles for AI systems.
• Knowledge of AI algorithms, data structures, and MLOps.

Responsibilities

• Lead design and deployment of large-scale AI solutions.
• Provide architectural guidance for next-generation AI initiatives.
• Assist in strategic planning for complex AI projects.

Skills

Strong proficiency in Python

Ability to design and test prompts for LLMs

Expertise in building machine learning models

Skills in data cleaning and visualization

Experience with AWS, Azure, or Google Cloud

Strong problem-solving skills

Education

Bachelor’s degree in Computer Science or related field

Master’s degree preferred

Tools

TensorFlow

PyTorch

Git/GitHub

LangChain

LangGraph

Job description

The Agentic AI Engineer is a strategic professional deeply immersed in the Artificial Intelligence and Machine Learning (AI/ML) field, with a strong, hands‑on focus on leading agentic flow design, prompt design, and comprehensive testing for advanced AI systems. This role contributes to directional strategy by leveraging expertise in building autonomous and semi‑autonomous AI solutions, particularly utilizing frameworks like Langraph, and applies this knowledge to critical business challenges.

Responsibilities

• Lead Agentic AI Flow Design, Prompt Engineering, and Testing: Accountable for leading the end‑to‑end design, development, and deployment of large‑scale agentic AI solutions, with a primary focus on leveraging frameworks like Langraph. This includes taking ownership of agentic flow design, sophisticated prompt engineering, and comprehensive testing strategies to ensure the reliability, performance, and ethical behavior of autonomous AI systems. The role will define system function specifications through end‑user consultation, integrate sophisticated AI/ML methodologies and MLOps practices, and ensure that agentic architectures meet business objectives and scale efficiently.

• Drive AI Architecture and Best Practices for Agentic Systems: Provide critical architectural guidance for next‑generation AI (NGAI) initiatives, ensuring adherence to best practices, CTO guidelines, and platform standards, particularly for agentic AI development. This involves actively participating in design review boards, publishing agentic AI design patterns, conducting rigorous code reviews for NGAI projects, and fostering a culture of technical excellence in AI engineering.

• Strategic Planning and Risk Management for Agentic AI Initiatives: Assist in the strategic planning and management of complex AI/ML development assignments, including cross‑functional projects and those with significant budgets, with a focus on agentic AI. This entails meticulously identifying, analyzing, and communicating technical and business risks specific to AI, leading smart trade‑off discussions with stakeholders, and developing clear delivery plans that navigate dependencies and maximize resources for the Digital organization, especially within the context of agentic systems.

• Mentorship, Continuous Improvement, and Innovation in Agentic AI: Empower and mentor AI/ML Engineers (SDEs) on best practices in agentic AI development, Langraph, and other advanced AI technologies. Drive continuous improvement in AI processes, advocate for the adoption of innovative AI technologies, and demonstrate leadership in influencing scrum teams beyond direct reporting lines to advance the firm's capabilities in autonomous AI, including prompt and flow optimization.

Qualifications

• 6‑10 years of relevant experience in an AI/ML development role or senior‑level experience in an AI role
• Demonstrable and significant experience as a lead developer for agentic flow design, prompt design, and comprehensive testing of autonomous or semi‑autonomous AI systems, with deep expertise in Langchain/Langraph
• Lead resources and serve as a functional SME across the company through advanced knowledge of AI algorithms, data structures, distributed AI systems, MLOps, and the use of specific AI frameworks/libraries to lead, architect, and drive broader adoption forward
• Acquire relevant AI technology and financial industry skills (e.g., cloud AI services, MLOps, agentic platforms) and understand all aspects of Next Gen AI (NGAI) technology – including innovative approaches and new opportunities
• Demonstrate knowledge on automating AI model quality, model performance, unit testing for AI components, and MLOps build processing in the CI/CD pipeline, including considerations for agentic systems

Required Skills

• Programming Languages: Strong proficiency in Python is paramount, followed by R, Java, or C++ for scalable, high‑performance applications
• Prompt Engineering & Generative AI: Ability to design, test, and refine prompts for large language models (LLMs) to ensure reliable outputs, with specific experience in constructing complex agentic prompts and flows
• Machine Learning & Deep Learning: Expertise in building models, understanding algorithms (supervised/unsupervised), and neural network architectures (CNNs, RNNs, Transformers)
• AI Frameworks & Libraries: Proficiency with tools like TensorFlow, PyTorch, Keras, Scikit‑learn
• Data Engineering: Skills in data cleaning, preprocessing, visualization, and working with databases (SQL/NoSQL) and data lakes
• Cloud Computing & DevOps: Experience with cloud platforms (AWS, Azure, Google Cloud) and deploying models using MLOps practices for automation
• Mathematics & Statistics: Strong understanding of linear algebra, calculus, and probability for developing and refining algorithms
• Soft Skills: Strong problem‑solving, analytical thinking, and collaboration skills are essential to bridge the gap between technical models and business needs

Key Tools & Technologies

• Version Control: Git/GitHub
• IDEs/Notebooks: VS Code, PyCharm, Jupyter
• Frameworks: LangChain, LangGraph (primary for AI agent development)

Education

• Bachelor’s/University degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Master’s degree preferred

Job Details

• Job Family Group: Technology
• Job Family: Digital Software Engineering
• Time Type: Full time
• Primary Location: Tampa, Florida, United States
• Primary Location Full Time Salary Range: $125,600.00 – $188,400.00

Benefits

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.

EEO Statement

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.

Anticipated Posting Close Date: Mar 16, 2026