Artificial Intelligence / Machine Learning Engineer

Join FIS in a hybrid role in Jacksonville, FL (3 days onsite) building generative AI and agent-based solutions that can be applied across the organization. This Artificial Intelligence and Machine Learning Engineer Lead position focuses on creating scalable, LLM-powered applications integrated with enterprise platforms and workflows, with an emphasis on accuracy, reliability, safety, and grounding.

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. You will work alongside solution architects, data scientists, and machine learning engineers to turn emerging technologies into practical systems used across the business.

What you’ll do

• 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 AI solutions with enterprise platforms, application programming interfaces, and business workflows.
• Build and deploy REST APIs using Flask or FastAPI.
• Evaluate model, agent, and system performance across accuracy, reliability, grounding, and safety.

Required qualifications

• At least 10 years of overall professional experience, including at least 4 years working with artificial intelligence, generative AI, or agent-based AI.
• Experience designing and building GenAI-powered applications using LLMs (open and proprietary).
• Hands-on work building agent-based systems with planning, memory, tool use, and orchestration.
• Experience implementing agentic workflows including multi-agent setups, human-in-the-loop, and autonomous tasks.
• Strong hands-on skills with large language models, including 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, and cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, plus 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 using parameter-efficient methods such as low-rank adaptation and quantized low-rank adaptation.
• Familiarity with orchestration tools such as LangChain, LlamaIndex, AutoGen, or the OpenAI Assistants API.
• Knowledge of production machine learning operations, including CI/CD, monitoring, observability, security, compliance, and data governance.

Technologies you may work with

Python, scikit-learn, TensorFlow, PyTorch, Keras, pandas, Flask, FastAPI, vector databases, retrieval systems, Amazon Web Services, Google Cloud, Microsoft Azure, LLMs, retrieval-augmented generation, low-rank adaptation, quantized low-rank adaptation, LangChain, LlamaIndex, AutoGen, OpenAI Assistants API.

Benefits

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

Note: This position is hybrid (3 days onsite) in the FIS Office location in Jacksonville, FL. Current and Future Sponsorship is not available for this position.