AI Engineer-Machine Learning Platform

At American Express, our culture is built on a 175-year history of innovation, sharedand 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 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

Salary Range : $89,250.00 to $150,250.00 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