AI Engineer

• Design, develop, and deploy AI/ML, Generative AI, and Agentic AI solutions to solve complex business problems and improve operational efficiency.
• Build and maintain Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) pipelines, intelligent agents, and multimodal AI solutions from prototype through production deployment.
• Design AI agent architectures, orchestration frameworks, and inter-agent communication protocols to automate business and technology workflows.
• Develop scalable backend services, API layers, and supporting technical components required to operationalize AI solutions.
• Collaborate with business stakeholders, product owners, and domain experts to identify high-impact AI opportunities and translate business requirements into technical solutions.
• Build and maintain cloud-native AI/ML pipelines, model deployment frameworks, and data integration workflows using modern AI platforms and cloud technologies.
• Implement MLOps and LLMOps practices to support deployment, monitoring, quality assurance, reproducibility, and lifecycle management of AI solutions.
• Evaluate emerging AI technologies, frameworks, and tools through proofs of concept and rapid prototyping.
• Ensure all AI solutions adhere to Mastercard's security, privacy, responsible AI, and governance standards.
• Implement Responsible AI controls including bias monitoring, hallucination mitigation, explainability, model validation, and AI safety guardrails.
• Partner across analytics, engineering, product, and business teams to identify AI integration opportunities and drive enterprise adoption of AI capabilities.
• Communicate technical concepts, solution designs, and business value effectively to both technical and non-technical audiences.