Artificial Intelligence / Machine Learning Engineer

FIS•US FL JAX 347, FL

5d•Hybrid

About The Position

FIS is hiring an Artificial Intelligence and Machine Learning Engineer Lead to design and develop generative artificial intelligence and agent-based solutions across the company. The role involves building scalable applications with proprietary and open-weight large language models, integrating AI solutions with enterprise platforms and workflows, and evaluating systems for accuracy, reliability, safety, and effective grounding. The position is hybrid, with three days onsite at the FIS office in Jacksonville, Florida. Current and future sponsorship is not available.

Requirements

At least 10 years of overall professional experience, including at least 4 years working with AI, generative AI, or agent-based AI.
Experience designing and building GenAI-powered applications using open and proprietary LLMs.
Experience building agent-based systems with planning, memory, tool use, and orchestration.
Experience implementing agentic workflows, including multi-agent, human-in-the-loop, and autonomous tasks.
Hands-on experience with LLMs, 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 AWS, 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.

Nice To Haves

Experience fine-tuning LLMs, 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 API.
Knowledge of production machine learning operations, CI/CD, monitoring, observability, security, compliance, and data governance.

Responsibilities

Design and build generative AI 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, APIs, and business workflows.
Build and deploy REST services using Flask or FastAPI.
Evaluate model, agent, and system performance, including accuracy, reliability, grounding, and safety.
Help turn emerging technologies into practical solutions that can be applied across the organization.