AI Engineer-Machine Learning Platform

Salary Range: $89250.00 to $150250.00 annually bonus benefits

The above represents the expected salary range for this job requisition. Ultimately in determining your pay well 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. Thats 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.

US Job Seekers - Click to view the Know Your Rights poster. If the link does not work you may access the poster by copying and pasting the following URL in a new browser window: eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

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 youll 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 Enterprise Data and AI organization unites the data governance strategy engineering and product teams with those responsible for AI engineering generative AI enablement and automation product and engineering. This group plays a pivotal role in leveraging data as a core driver of innovation and integrating AI capabilities to transform products operations and customer experiences. The EDAI organization also incorporates technology Research & Development and experimentation with emerging capabilities along with engineering support for Amex Digital Labs. This integration ensures that research breakthroughs seamlessly translate into business impact.

Responsibilities:

• Lead the Discovery Development and Maintenance of scalable AI driven capabilities in the area of Document AI Computer Vision NLP Chatbots (Conversational AI)

• Research and Deploy AI and Gen AI solutions to power enterprise business needs

• Partner with Research teams to take AI enabled initiatives from conceptualization to production

• Create data pipelines that feed machine learning models through out the model lifecycle including training inference HITL and re-training .

• Closely follow research and open-source developments/publications and apply them.

• Drive high-level and detailed technical design conversations and reviews

• Function as an active member of an agile team

Qualifications:

• BS or MS degree in computer science computer engineering or other technical discipline.

• Strong proficiency in Python language machine learning libraries and SQL

• Core competencies in distributed technologies including Python frameworks API Design Linux JSON Postgres NoSQL databases etc.

• Demonstrated experience in building and deploying a diverse set of ML models including vision and NLP based models at scale

• Experience in designing and implementing highly scalable low latency Python applications.

• Familiarity with CI/CD pipelines and DevOps tools (Jenkins GitLab).

• Proficiency with Containers (Docker) and orchestration (Airflow Kubernetes)

• Practical knowledge of caching and distributed systems.

• Team player and a hands-on engineer.

• Ability to think abstractly and deal with ambiguous/under-defined problems.

• Have excellent written and verbal communications skills.

Preferred Qualifications :

• 2-3 years of software development experience

• Hands-on experience in GCP/AWS/Azure cloud is a preferred

• Experience in deploying Gen AI use cases using Foundational LLMs and RAG pipelines

• Experience in Financial Services industry is a plus