American Express-posted 4 months ago
$120,000 - $210,000/Yr
Full-time • Senior
Phoenix, AZ
5,001-10,000 employees
Credit Intermediation and Related Activities

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. The successful candidate for this role will be responsible for developing and implementing cutting-edge AI solutions leveraging generative AI techniques and working with large-scale datasets. You will collaborate with cross-functional teams to design, develop, and deploy highly scalable and fault tolerant AI applications and models that drive innovation and enhance efficiency in customer servicing space. We are seeking a highly skilled and experienced Senior Engineer with expertise in Generative AI, AI/ML, Java, and Python to join our team.

  • Develop and implement generative AI Applications using Java and Python and leading industry tools and frameworks.
  • Collaborate with data scientists and engineers to design and optimize AI/ML solutions.
  • Conduct research and stay up to date with the latest advancements in generative AI and AI/ML technologies.
  • Analyze large-scale datasets to identify patterns, trends, and insights that can be leveraged for AI model development.
  • Optimize and fine-tune AI models to improve performance, accuracy, and efficiency.
  • Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.
  • Collaborate with software engineers to integrate AI models into existing servicing applications and ensure scalability and reliability.
  • Conduct code reviews and provide technical guidance and mentorship to junior team members.
  • Stay abreast of industry best practices and emerging trends in AI/ML, Java, and Python development.
  • Participate in cross-functional team meetings, brainstorming sessions, and knowledge sharing activities to foster innovation and continuous improvement.
  • Leverage cloud platforms for ML and data engineering solutions.
  • Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes.
  • Utilize knowledge of banking data for relevant data engineering tasks.
  • Experience with Agile methodologies and practices.
  • Strong analytical skills to solve problems and troubleshoot issues.
  • Degree in Computer Science with 8+ years of experience.
  • Proficient in Programming Languages: Python, Java, Scala, and others.
  • Proficient in writing clean and efficient code to implement machine learning algorithms.
  • Deep understanding of various machine learning algorithms such as regression, classification, clustering, and deep learning.
  • Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Skilled in working with Big Data platforms and Big Data lakes.
  • Proficient in cloud computing technologies.
  • Familiarity with banking data structures and requirements.
  • Strong skills in designing and modeling complex systems and architectures.
  • Ability to create scalable, reliable, and efficient solutions that meet business requirements.
  • Proficient with containerization and orchestration using Docker and Kubernetes.
  • Commitment to staying updated with industry trends.
  • Strong leadership and communication skills.
  • Ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Excellent problem-solving and analytical skills.
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities
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