Artificial Intelligence / Machine Learning Engineer

This Artificial Intelligence / Machine Learning Engineer Lead position supports the design and delivery of generative AI and agent-based solutions across FIS, with an emphasis on scalable LLM-powered applications integrated into enterprise platforms and workflows.

Location and Work Model

• Jacksonville, FL (hybrid)
• 3 days onsite at the FIS Office in Jacksonville, Florida
• Current and future sponsorship is not available for this position

Role Summary

Lead efforts to design and develop generative AI and agent-based solutions across FIS. Build scalable applications powered by large language models and integrate them with enterprise platforms and business workflows. Deploy API services and evaluate systems for accuracy, reliability, safety, and grounding.

Responsibilities

• Design and build generative artificial intelligence applications using proprietary and open-weight large language models
• Develop agent-based systems and workflows supporting 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

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
• Experience designing and building GenAI-powered applications using LLMs (open and proprietary)
• Experience building agent-based systems with planning, memory, tool use, and orchestration
• Experience implementing agentic workflows, including multi-agent approaches, human-in-the-loop, and 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

Technologies

• Python
• scikit-learn, TensorFlow, PyTorch, Keras, pandas
• Flask, FastAPI
• Vector databases, retrieval systems
• Amazon Web Services, Google Cloud, Microsoft Azure
• Large language models (LLMs), retrieval-augmented generation
• Low-rank adaptation, quantized low-rank adaptation
• LangChain, LlamaIndex, AutoGen, OpenAI Assistants application programming interface

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

Team Impact

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 transform emerging technologies into practical solutions applicable across the organization.

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