Artificial Intelligence / Machine Learning Engineer
About The Position
The Artificial Intelligence and Machine Learning Engineer Lead designs and develops generative AI and agent-based solutions across FIS. The role builds scalable applications using large language models and integrates them with enterprise platforms, APIs, and workflows. It also evaluates these systems for accuracy, reliability, safety, and effective grounding. The AI and machine learning team identifies and implements solutions to support revenue growth and operational savings, translating emerging technologies into practical solutions for use across the organization. This position is hybrid, with three days onsite at the FIS office in Jacksonville, Florida. Current and future sponsorship is unavailable.
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 generative-AI-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, continuous integration and delivery, 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 supporting 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 support revenue growth and operational savings across the organization.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
