Artificial Intelligence / Machine Learning Engineer

This Lead Artificial Intelligence / Machine Learning role at FIS Global focuses on designing and building generative AI and agent-based solutions across the organization. You will develop scalable LLM-powered applications, integrate them with enterprise platforms and workflows, and support production evaluation for accuracy, reliability, safety, and grounding.

Location and Work Model

The role is hybrid with 3 days onsite at the FIS Office in Jacksonville, FL.

Current and Future Sponsorship is not available for this position.

Responsibilities

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

Requirements

• 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 setups, human-in-the-loop approaches, and autonomous tasks.
• Hands-on experience 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, cloud platforms (Amazon Web Services, Google Cloud, or Microsoft Azure), and services built with Flask or FastAPI.
• A 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.

Impact

FIS artificial intelligence and machine learning efforts focus on identifying, exploring, and implementing solutions designed to support revenue growth and operational savings. The team brings together solution architects, data scientists, and machine learning engineers. In this Lead role, you will help translate emerging technologies into practical solutions applied 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

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