Job Details

Description

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.

How will you make an impact in this role?

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.

Responsibilities:

• 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.

• Cloud Technology Utilization: Leverage cloud platforms for ML and data engineering solutions.

• CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes.

• Banking Data Expertise: Utilize knowledge of banking data for relevant data engineering tasks.   

• Working in Agile Environments: Experience with Agile methodologies and practices.

• Problem-Solving and Troubleshooting: Strong analytical skills to solve problems and troubleshoot issues.

Qualifications & Skills:  

• Degree in Computer Science with 8 years in 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

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

• 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.

Qualifications

Salary Range: $120,000.00 to $210,000.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

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Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Job: Technologies

Primary Location: US-Arizona-Phoenix

Schedule Full-time

Req ID: 25015247