- Location
- IND PUNE FL7, India · IND BNGL FL2-3 TWR 3
- Workplace
- Remote, Hybrid, Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Closing date
- Today
- Source
- Workday
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.
Role location
Hybrid (two days in-office, three days virtual).
About the role
As an Artificial Intelligence / Machine Learning Engineer Lead, you will help develop and deploy advanced Generative AI and Agentic AI solutions that drive innovation across FIS. You will work alongside solution architects, data scientists, and machine learning engineers to build intelligent applications, agent-based systems, and enterprise AI integrations. This role combines deep technical expertise with hands-on development to deliver scalable, reliable, and business-focused AI solutions.
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.
What you bring
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
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.
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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