Artificial Intelligence/Machine Learning Engineers

FIS•Jacksonville, FL

1d•Hybrid

About The Position

At FIS, innovators, problem solvers and changemakers work together to create technology that advances finance. The Artificial Intelligence and Machine Learning Engineer will design and build generative artificial intelligence and agent-based solutions used across the organization. The role involves developing applications powered by large language models, creating automated workflows, connecting artificial intelligence systems with enterprise platforms, and evaluating solutions for accuracy, reliability and safety. The engineer will join a team of solution architects, data scientists and machine learning engineers focused on identifying and delivering valuable artificial intelligence solutions. The work will help teams across FIS use emerging technology responsibly, improve business processes, and create opportunities through scalable generative artificial intelligence and agent-based systems. The position is based in Jacksonville, Florida, with a hybrid schedule requiring onsite work Tuesday through Thursday. Current and future sponsorship are not available.

Requirements

At least four years working with artificial intelligence, generative artificial intelligence or agent-based systems.
Hands-on experience with large language models, prompting techniques, structured outputs, model routing, context management and memory management.
Strong Python skills and experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, Keras or Pandas.
Experience with retrieval-augmented generation, vector databases, hybrid retrieval patterns and evaluation of generative artificial intelligence systems.
Experience building and deploying RESTful services with Flask or FastAPI and working with AWS, Google Cloud Platform or Microsoft Azure.

Nice To Haves

Experience with large language model fine-tuning or parameter-efficient tuning methods such as LoRA or QLoRA.
Familiarity with orchestration frameworks and tools such as LangChain, LlamaIndex, AutoGen, OpenAI Assistants API or Model Context Protocol.
Experience with production machine learning operations, monitoring, observability, security, compliance or data governance for generative artificial intelligence systems.

Responsibilities

Design and build generative artificial intelligence applications using open and proprietary large language models.
Develop agent-based systems that use planning, memory, tools and orchestration to complete complex tasks.
Create multi-agent, human-in-the-loop and autonomous workflows.
Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows.
Evaluate and improve model and system performance, including accuracy, grounding, reliability and safety.