You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

How will you make an impact in this role?

The successful candidate for this role will be responsible for developing and implementing cutting-edge scalable intelligent solutions.  You will collaborate with cross-functional teams to design, develop, and deploy highly scalable and fault tolerant services, 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 Java, AI/ML and Big data/RDBMS/NoSQL to join our team.  

Responsibilities: 

·       Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery. 

·       Develop and implement AI/ML Applications using Java and Python and leading industry tools and frameworks. 

·       Stay abreast of industry best practices and emerging trends in AI/ML, Java, and Python development. 

·       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 AI/ML technologies. 

·       Analyze 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. 

·       Good knowledge and hands on experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Casandra 

·       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. 

·       Plan, scope, size, architect, design, prototype and engineer Genesys framework components 

·       CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes A problem solver, open to learning. Should have experience in troubleshooting, optimizing, solutioning and keeping up with evolving technologies - as a leading member of the team. 

Qualifications & Skills: 

·       Degree in Computer Science with 8+ years in experience  

·       Experience in designing & developing API, services, ETL applications, Micro services-based architecture using frameworks like Spring Boot or Vertx 

·       Hands-on experience with Kafka  

·       Proficient in Programming Languages: Java, Vertx & Reactive framework and Python and others. 

o   Proficient in writing clean and efficient code to implement machine learning algorithms. 

o   Deep understanding of various machine learning algorithms such as regression, classification, clustering, and deep learning 

o   Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn 

·       Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes. 

·       Expertise in RESTful APIs: Understanding of RESTful principles and experience in designing and implementing RESTful APIs for microservices communication. 

·       Cloud Knowledge: Proficient in cloud computing technologies. 

·       Banking Data Knowledge: Familiarity with banking data structures and requirements. 

·       Architecture design and modeling: should possess strong skills in designing and modeling complex systems and architectures.  

·       Ability to create scalable, reliable, and efficient solutions that meet business requirements. 

·       Docker and Kubernetes Proficiency: Proficient with containerization and orchestration using Docker and Kubernetes. 

·       Continuous Learning: Commitment to staying updated with industry trends. 

·       Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.  

·       Ability to effectively communicate technical concepts to both technical and non-technical audiences. 

·       Should have excellent problem-solving and analytical skills. 

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

Competitive base salaries  Bonus incentives  Support for financial-well-being and retirement  Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)  Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need  Generous paid parental leave policies (depending on your location)  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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.