Artificial Intelligence / Machine Learning Engineer Lead- 4 to 7 Years
About the role
Your key responsibilities
- Design, build, and deploy Generative AI applications leveraging large language models, retrieval systems, and enterprise data sources.
- Develop agent-based solutions incorporating planning, memory, tool usage, orchestration, and autonomous task execution.
- Implement and optimize Agentic AI workflows, including multi-agent systems and human-in-the-loop processes.
- Build and maintain RESTful services and enterprise integrations using Python, Flask, and FastAPI.
- Evaluate AI models, agents, and end-to-end systems for accuracy, reliability, safety, grounding, and performance.
Required qualifications
- Bachelor's degree in Engineering, Computer Science, a related field, or an equivalent combination of education, training, and work experience.
- 4+ years of overall technology experience, including 4+ years focused on Artificial Intelligence, Machine Learning, Generative AI, or Agentic AI.
- Strong hands-on experience designing and building solutions using large language models, agentic systems, prompt engineering, model orchestration, context management, and retrieval-augmented generation (RAG).
- Advanced proficiency in Python and experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, Keras, scikit-learn, and pandas.
- Experience deploying enterprise AI solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform, including API integrations and vector database technologies.
Preferred qualifications
- Experience fine-tuning large language models, including parameter-efficient techniques such as LoRA and QLoRA.
- Familiarity with AI orchestration frameworks and tools such as LangChain, LlamaIndex, AutoGen, or OpenAI Assistants API.
- Knowledge of production-grade machine learning operations, monitoring, observability, security, compliance, and data governance practices for AI systems.
The impact you'll make As an Artificial Intelligence / Machine Learning Engineer Lead , you will play a key role in advancing AI adoption across FIS. Working within a horizontal AI/ML team, you will help identify, explore, and implement innovative solutions that create business value through revenue growth, automation, and operational efficiencies. Your work will contribute to the development of intelligent capabilities that support business transformation across the organization.
What we offer you
When you join FIS, you become part of a team that's shaping how the world pays, banks and invests. We're committed to helping you thrive, both professionally and personally. At FIS, we offer you:
- Internal career growth opportunities
- A voice in the future of fintech
- Always-on learning and development
- Collaborative work environment
- Opportunities to give back
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Sourcing Model
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Who can apply
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