What you bring
Required qualifications
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 the 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.
Preferred qualifications
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.
The impact you’ll make
The Artificial Intelligence and Machine Learning Engineer will join a team of solution architects, data scientists and machine learning engineers focused on identifying and delivering valuable artificial intelligence solutions. Your work will help teams across FIS use emerging technology responsibly, improve business processes and create new opportunities through scalable generative artificial intelligence and agent-based systems.
What we offer you
Bring your ideas. Build your future. At FIS, you'll find the support, resources and opportunities to develop your career while helping shape the future of financial technology.
We offer
Internal career growth opportunities
Opportunities to innovate in fintech
Inclusive and diverse team atmosphere
Professional and personal development
Resources to contribute to your community
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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