Senior Solutions Architect I

The Senior Solution Architectect willl be part of Solution Management Team within enterprise CRM solutions team, part of enterprise technology solutions contributing to the domain level technical architecture and solutions.

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.

• 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.