GenAI & AI Engineer Lead — Hybrid (Jacksonville)

FIS; Jacksonville (FL); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Professional learning opportunities

Inclusive, diverse environment

Community involvement

Job summary

FIS is hiring an Artificial Intelligence and Machine Learning Engineer Lead in Jacksonville, FL. The role focuses on designing and building generative AI and agent-based solutions across the enterprise, using large language models and integrating them with APIs and workflows.

You will evaluate models for accuracy, reliability, safety and grounding, and lead scalable applications using Flask or FastAPI. This is a hybrid role with three days onsite in Jacksonville.

Qualifications

• Must have at least 10 years of professional experience with AI/GenAI, including 4+ years in AI/GenAI or agent-based AI.
• Design and build GenAI-powered apps using open & proprietary LLMs.
• Build agent-based systems with planning, memory, tool use, and orchestration.
• Implement agentic workflows (multi-agent, human-in-the-loop, autonomous tasks).
• Hands-on with large language models, prompting, memory management and retrieval-augmented generation.

Responsibilities

• Design and develop generative AI applications using LLMs.
• Develop agent-based systems and workflows for planning, memory and oversight.
• Integrate AI solutions with enterprise platforms and APIs.
• Build and deploy REST services with Flask or FastAPI.
• Evaluate model and system performance for accuracy and safety.

Skills

Python

GenAI

LLMs

Agent-based AI

Prompts & outputs

Education

Bachelor's degree in engineering or related field

Tools

Flask

FastAPI

TensorFlow

PyTorch

Keras

scikit-learn

Pandas

LangChain

Job description

FIS is hiring an Artificial Intelligence and Machine Learning Engineer Lead in Jacksonville, FL. The role focuses on designing and building generative AI and agent-based solutions across the enterprise, using large language models and integrating them with APIs and workflows.

You will evaluate models for accuracy, reliability, safety and grounding, and lead scalable applications using Flask or FastAPI. This is a hybrid role with three days onsite in Jacksonville.