Associate Managing Consultant, Advisors

Be among the first 25 applicants Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Advisors & Consulting Services, GenAI Engineer (12 months fixed term)Overview Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide strategic advisory and execution services, leveraging expertise, data‐driven insights, and GenAI‐enabled delivery to accelerate innovation and growth. Job Summary We are seeking a highly skilled and motivated Generative AI Engineer for a 12‐month contract engagement. This project‐focused role is centered on leveraging Large Language Models (LLMs) and other generative technologies to design, build, and deploy a specific set of transformative applications, including pioneering work in agentic commerce. You will be responsible for driving the technical execution of key GenAI initiatives throughout the project lifecycle, from backend model development to creating intuitive user‐facing prototypes. Roles and Responsibilities End-to-End GenAI Solution Delivery: take ownership of the design, development, and deployment of sophisticated applications using LLMs, with a clear focus on meeting project milestones and deliverables. System Architecture & Implementation: architect and implement robust and scalable GenAI systems for the duration of the project, including building Retrieval‐Augmented Generation (RAG) pipelines and managing APIs. Agentic System Development: develop and refine autonomous agents and multi‐agent systems to automate complex processes and meet specific project objectives. Productionalization & Optimization (LLMOps): establish and manage CI/CD pipelines for the GenAI applications, ensuring they are performance‐efficient, cost‐effective, and reliable throughout the contract period. Rapid Prototyping & Demonstration: build interactive web applications and demos to showcase the capabilities of GenAI models to stakeholders, gather feedback, and validate solutions quickly. Stakeholder Collaboration: work effectively with internal teams to understand project requirements, provide expert consultation, demonstrate progress, and ensure the final solution meets business goals. Documentation & Handover: create clear technical documentation and facilitate a smooth handover of the developed systems and processes to the full‐time team at the conclusion of the contract. Qualifications Experience: 4‐6 years of professional software engineering experience, with at least 2 years of dedicated, hands‐on experience building and deploying solutions using Generative AI and LLMs. Core GenAI Expertise: demonstrable experience with major LLMs (e.g., GPT series, Claude, Llama) via APIs and open‐source libraries like Hugging Face. Proven ability to build and optimize Retrieval‐Augmented Generation (RAG) systems using frameworks like LangChain or LlamaIndex. Hands‐on experience with model fine‐tuning techniques and an understanding of their trade‐offs. Technical Proficiency: solution architecture, robust end‐to‐end AI systems design, deep proficiency in Python and relevant AI/ML libraries. API development and integration (RESTful APIs, FastAPI), vector databases (Pinecone, Chroma, Milvus), and embedding models. Cloud platform experience (AWS or Azure) and deployment of AI applications using services like AWS SageMaker or Azure AI. Containerization technologies (Docker, Kubernetes) for deploying applications. Experience building demos and simple UIs using frameworks such as Streamlit, Gradio, Flask/FastAPI; frontend frameworks (React, Vue) is a plus. Project delivery and autonomy: results‐oriented, strong sense of ownership and resourcefulness, capable of working independently and managing time effectively. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is preferred. Language: effective communication in English and Mandarin. Legal: eligibility to work in the country where you are applying and ability to apply for travel visas as required. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. #J-18808-Ljbffr