Artificial Intelligence / Machine Learning Engineer

fis; Florida; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Comprehensive benefits

Job summary

FIS is seeking an Artificial Intelligence and Machine Learning Engineer Lead in Jacksonville, FL. You will design generative AI and agent-based solutions, deploying scalable applications that integrate with APIs and enterprise workflows.

Lead development across LLMs, memory, tool use and autonomy, while evaluating accuracy, grounding and safety across systems.

Qualifications

• Over 10 years of professional experience with at least 4 in AI/GenAI or agent-based AI.
• Designing GenAI-powered apps using open and proprietary LLMs.
• Experience with agent-based systems and orchestration.

Responsibilities

• Design and build generative AI applications using LLMs.
• Develop agent-based systems with planning, memory, and tool use.
• Integrate AI with enterprise platforms and workflows.
• Build and deploy REST services with Flask or FastAPI.

Skills

Python

Machine Learning

Generative AI

LLM development

Prompting

APIs/Flask-FastAPI

Vector databases

Education

Bachelor's degree in engineering or related field

Tools

Flask

FastAPI

TensorFlow

PyTorch

Pandas

Job description

Job Description

Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.

NOTE:

1) This position is hybrid (3 days onsite) in our FIS Office location in Jacksonville (FL). 2) Current and Future Sponsorship is not available for this position.

About the role:

As an Artificial Intelligence and Machine Learning Engineer Lead, you will design and develop generative artificial intelligence and agent‑based solutions across FIS. You will build scalable applications using large language models and integrate them with enterprise platforms, application programming interfaces and workflows. You will also evaluate these systems for accuracy, reliability, safety and effective grounding.

Your key responsibilities:

• Design and build generative artificial intelligence applications using proprietary and open-weight large language models.
• Develop agent‑based systems and workflows that support planning, memory, tool use, orchestration, human oversight and autonomous tasks.
• Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows.
• Build and deploy representational state transfer services using Flask or FastAPI.
• Evaluate model, agent and system performance, including accuracy, reliability, grounding and safety.

What you bring:

Required qualifications:

• At least 10 years of overall professional experience, including at least 4 years working with artificial intelligence, generative artificial intelligence or agent‑based artificial intelligence.
• Designing and building GenAI‑powered applications using LLMs (open & proprietary)
• Building agent‑based systems with planning, memory, tool use, and orchestration
• Implementing Agentic workflows (multi‑agent, human‑in‑the‑loop, autonomous tasks)
• Hands‑on experience with large language models, prompting techniques, structured outputs, model routing, context management, memory management and retrieval‑augmented generation.
• Strong proficiency in Python and experience with machine learning frameworks and libraries such as scikit‑learn, TensorFlow, PyTorch, Keras or pandas.
• Experience with vector databases, retrieval systems, cloud platforms such as Amazon Web Services, Google Cloud or Microsoft Azure, and services built with Flask or FastAPI.
• Bachelor's degree in engineering or a related field, or an equivalent combination of education, training and work experience.

Preferred qualifications:

• Experience fine‑tuning large language models, including parameter‑efficient approaches such as low‑rank adaptation and quantized low‑rank adaptation.
• Familiarity with orchestration tools such as LangChain, LlamaIndex, AutoGen or the OpenAI Assistants application programming interface.
• Knowledge of production machine learning operations, continuous integration and delivery, monitoring, observability, security, compliance and data governance.

The impact you'll make:

The FIS artificial intelligence and machine learning team identifies, explores and implements solutions designed to support revenue growth and operational savings. The team brings together solution architects, data scientists and machine learning engineers. As an Artificial Intelligence and Machine Learning Engineer Lead, you will help turn emerging technologies into practical solutions that can be applied across the organization.

What We Offer you:

• Opportunities to make an impact in fintech
• Personal and professional learning
• Inclusive, diverse work environment
• Resources to give back to your community
• Competitive salary and benefits

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasona.

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