Back
Tier-1 employer and visible AI role yield moderate competition among qualified candidates.
Skills are transferable across industries, but payments and responsible-AI expectations create moderate domain sensitivity.
Role demands specialized GenAI, LLMOps, cloud and MLOps skills, enforcing strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and deploy scalable AI and Generative AI solutions including LLM applications, Agentic AI systems, and Retrieval-Augmented Generation (RAG) architectures to solve complex business problems and improve operational efficiency.
Develop AI agent architectures, orchestration frameworks, backend services, and APIs to operationalize AI capabilities and automate workflows within the Global Pricing & Interchange organization.
Ensure AI solutions comply with security, governance, and regulatory standards while driving enterprise adoption by collaborating with global business, analytics, and technology stakeholders.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Engineering, Data Science, or related technical field.
Experience in designing, developing, and deploying production-grade AI, Generative AI, or machine learning solutions, including LLMs and Agentic AI systems.
Proficiency with GenAI frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain; strong Python programming skills; and experience with cloud platforms like Azure or AWS.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrates strong expertise in GenAI ecosystems, prompt engineering, vector embeddings, semantic search, and AI application architecture for production deployment.
Experienced in building cloud-native AI/ML pipelines and implementing MLOps/LLMOps with model governance and Responsible AI practices.
Has familiarity with financial services, fintech, payments, pricing, or analytics domains to align AI solutions with business and strategic needs.