The Senior AI Engineer I will be part of Solution Management Team within enterprise CRM solutions team, part of enterprise technology solutions contributing to the domain level technical architecture and solution
Responsibilities- Architect and deliver scalable, distributed data solutions leveraging cloud-native processing platforms like GCP.
- Engineer fault-tolerant, high-throughput systems; define strong data modeling, partitioning, and schema evolution strategies; and embed observability, lineage, and data quality across workflows.
- Responsible to architect and solution in and around CRM solutions like Salesforce, leveraging out of the box agentic solutions such as AgentForce, Einstein.
- Perform architectural reviews, performance benchmarking, capacity planning, and developer experience initiatives through reusable SDKs, APIs, and libraries.
- Collaborate with Cloud, Security, and Platform teams to ensure enterprise alignment, and mentor engineers to drive technical excellence and best practices.
- Communicate technical strategy effectively and contribute hands-on to critical platform components.
- Proficiency in Python, Java with exposure to AI/ML frameworks (PyTorch, TensorFlow).
- Prototype lightweight agentic workflows using frameworks such as LangChain or AutoGen and integrate agents with enterprise data and APIs.
- Support compliance, documentation, and knowledge sharing to promote responsible and effective AI adoption.
- Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Data Engineering, ; advanced degree preferred
- 7+ years of experience in data engineering, distributed systems and AI/ML.
- Proven success in architecting and delivering large-scale, high-performance, cloud-native data systems on GCP or equivalent environments.
- Expert in Python and Java with deep experience in Spark, Beam, Flink, and GCP Dataflow for scalable data processing.
- Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark)
- Knowledge of natural language processing techniques, models such as BERT, Transformer models, and their real-world applications
- Proficient with CI/CD and automation tools such as GitHub Enterprise, Jenkins, or Cloud Build.
- Strong knowledge of cost-performance trade-offs and designing multi-tenant architectures optimized for efficiency and reliability.
- Preferred experience working with a CRM solution like Salesforce and ability to define multiple data integration patterns for the same.
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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our 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.
About the TeamWe 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
- 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.
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Machine Learning, or comparable experience (advanced degree preferred)
- 7+ years of experience in data engineering, distributed systems, and AI/ML
- Proven experience architecting and delivering large-scale, cloud-native data systems on GCP or equivalent
- Expert proficiency in Python and Java
- Deep experience with scalable data processing frameworks: Apache Spark, Apache Beam, Apache Flink, and Google Cloud Dataflow
- Exposure to AI/ML frameworks such as PyTorch and TensorFlow
- Experience with NLP techniques and models (e.g., BERT, Transformer models) and real-world NLP applications
- Proficiency with CI/CD and automation tools such as GitHub Enterprise, Jenkins, or Cloud Build
- Strong knowledge of cost-performance trade-offs and designing multi-tenant architectures optimized for efficiency and reliability
- Experience working with CRM solutions like Salesforce and defining data integration patterns (preferred)
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
