Artificial Intelligence/Machine Learning Engineers
At a glance
Mid-level Machine Learning Engineering role at Fis. US FL JAX 347 · full-time · no salary stated · we estimate $144,250–$228,825 across the United States.
Fis has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build generative AI applications with both open and proprietary large language models
- Create agents that plan, use memory and tools, and coordinate to handle complex work
- Set up multi-agent, human-guided and autonomous workflows
- Connect AI systems to enterprise platforms, APIs and business processes
- Test and improve model and system accuracy, grounding, reliability and safety
What you bring
- At least four years working on AI, generative AI or agent-based systems
- Practical knowledge of LLM prompting, structured outputs, routing, context and memory management
- Strong Python skills and experience with a listed machine learning framework
- Experience with retrieval-augmented generation, vector databases, hybrid retrieval and generative AI evaluation
- Experience deploying REST services with Flask or FastAPI, plus one of the listed cloud platforms
Who this fits
This mid-level role suits an engineer who has built and deployed generative AI or agent-based systems. You’ll work with solution architects, data scientists and machine learning engineers on solutions used across the organization. For US-based positions, a conditional offer requires a drug test.
From the employer
Job Description
Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.
About the role
As an Artificial Intelligence and Machine Learning Engineer, you will design and build generative artificial intelligence and agent-based solutions used across the organization. You will develop applications powered by large language models, create automated workflows, connect artificial intelligence systems with enterprise platforms, and evaluate solutions for accuracy, reliability and safety.
Your key 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.
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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