Senior Engineer I

Role Overview: As a Senior Engineer at American Express, you will have the opportunity to work on cutting-edge technology projects within the Enterprise Essentials team of Financial Data Engineering. Your main responsibilities will revolve around full-stack development, generative AI, machine learning, data engineering, and leadership. You will play a crucial role in designing, developing, and maintaining innovative solutions that leverage AI technologies to enhance the Global Tax, Finance, and GSM Conversational AI platforms. Key Responsibilities: - Design and develop scalable and secure applications using Java/Python framework and React for front-end technologies. - Implement microservices, APIs, and server-side logic for AI-based platforms, optimizing for performance and scalability. - Develop and maintain cloud-based, containerized applications using Docker and Kubernetes. - Architect solutions for real-time processing and ensure high system availability. - Troubleshoot and enhance system performance for large-scale applications. - Develop innovative solutions in Tax and finance using ML & Generative AI models. - Implement NLP algorithms for language understanding and conversational agents. - Create pipelines for training and deploying AI models efficiently in production environments. - Collaborate with data scientists to optimize and scale AI/NLP solutions. - Integrate AI/ML models into applications and ensure proper scaling and monitoring. Data Engineering: - Build and maintain data pipelines to support AI/ML model development. - Design ETL processes to ingest, clean, and process large-scale datasets. - Work with data storage solutions like SQL/NoSQL databases and cloud storage. - Ensure data integrity, security, and performance of data pipelines. Collaboration & Leadership: - Lead cross-functional teams to deliver AI-driven products. - Mentor junior engineers and collaborate with stakeholders to ensure project alignment. - Stay updated with the latest advancements in AI/NLP and provide technical guidance to the team. - Drive the team's strategy, prioritize initiatives, and challenge the status quo. Qualifications Required: - Education: Bachelors or Masters in Computer Science, Engineering, Data Science, or related field. - 10+ years of software engineering experience in architecture and design. - Strong experience in full-stack software development, data engineering, and AI/NLP solutions. - Proficiency in data engineering tools, frameworks, containerization, CI/CD pipelines, and cloud platforms. - Familiarity with MLOps practices, Generative AI models, machine learning frameworks, and DevOps.,