Senior Data Engineer II

What is Amex’s objective for a digital workplace?  

The Digital Workplace AI/ML Platform with GENAI capabilities aims to bring together the data from all Unified Workspace, Collaboration and Colleague Servicing platforms; combining this with HR, Information Security, and network data  to provide real-time, meaningful insights in areas such as user experience, health scoring, productivity, and overall IT visibility. As the Engineering Senior Engineer 2 of the Digital Workplace AI/ML Platform, you will have responsibility for leading the engineering teams to develop the GENAI based Data and Cloud platform and enhance it to provide personalization capabilities, analytics, and engineering automations, and best practices.

Our winning aspiration is to deliver the best Colleague digital experience. We simplify work and raise productivity by empowering Colleagues with the best digital tools and services.

Opportunity for Impact 

Digital Workplace at American Express is entering into a new phase of technology transformation driven by opportunities to improve Colleague experience, raise productivity and collaboration, and drive operational efficiency of all service and infrastructure operations. If you have the talent and desire to deliver innovative products and services at a rapid pace, with hands on experience and strategic thinking, in areas of productivity and collaboration software suites, endpoint computing and security, mobile platforms, data management and analytics, and software engineering, join our leadership team to help with our transformation journey. 

Role and Responsibilities:

• The Data platform with GENAI capabilities is central to the future of how we work and improve colleague experience while identifying opportunities for improvement.


• As the leader of this group, you will:


• Create and manage a complex distributed data engineering pipeline at scale and manage its availability, throughputs, and security.


• Lead engineering teams and partner with Product Management to enhance the quality and outcomes of the data products including data analytics & visualization


• Lead the solutioning of Software Infrastructure, Authentication/Authorization (OKTA, JWT, SSL, A2A), CI/CD pipelines, Devops. The engineering skillset would need to run the GENAI/AI/ML models on the Cloud platform to derive meaningful insights & predictive analysis from search and chat bots.


• Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture and implementation of scalable, reliable, and cost-effective AI/ML platform


• Bring thought leadership to advance the overall state of technology and customer focus for the platform


• Manage delivery milestones, deployment cycles & delivery of the overall Software, Data Engineering and Platform Platform’s roadmap


• Enthusiasm for staying up-to-date with the latest advancements in AI, NLP, and large language models.


• A portfolio showcasing previous language model projects, contributions to open-source projects, or relevant publications is a plus.


• Build, inspire, and grow talented engineering teams that are responsible for designing and scaling solutions using Devops and Analytics skills.


• Build culture of innovation, ownership, accountability, and customer focus


• Contribute to the American Express Data Strategy. Working with other Technology teams to drive enterprise solutions, define best practice at a company level and further develop skills and experience outside Digital Workplace.


• Partner with the Digital Workplace technology teams to develop the AI/ML. platform strategy across all products and channels.


• Participate actively and constructively in agile team meetings and application reviews


• Work directly with and learn from the business, product, and engineering leaders across the organization


• Strengthen the collaboration with Industry partners/suppliers for more robust data solutions and market research for innovative solutions in this space. 

• Demonstrated experience leading engineering teams in remote and distributed product engineering setup.


• Must have writing software experience with exhaustive lines of code in Java, Spring, SpringBoot, React, Databases (Postgress, SQL-DB), RESTful API, and container-based application and Python.


• Demonstrated experience in data migration, integration, etc.


• Extensive knowledge of Devops best practices (CI/CD, Github Actions), observability, databases, caches software design skills.


• Mandatory strong experience in scalability, large scale distributed system designs to handle million requests, including reliability engineering, and platform monitoring.
  
• Expertise in pre-processing and cleaning large datasets as a part of ingesting data, from multiple sources within the enterprise.


• Experience with data structures, algorithms, and software design.


• Exposure to Data Science including Predictive Modelling.


• Willingness to learn GENAI, AI, LLMs, Rags, NLP, that are used in multilingual conversational systems.
  Take an extra mile to solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.


• Willingness in deploying language models in production environments and integrating them into applications, platforms, or services.


• Review architecture and provide technical guidance for engineers


• Good to have experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.


• Good to have experience with Big Data technologies (Spark, Kafka, Hive, etc.) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc.


• Experience with Visualization Tools like ElasticSearch, Tableau, Power BI, etc.


• Experience with complex, high volume, multi-dimensional data ingestion including unstructured, structured, and streaming datasets.


• Ability to learn new tools and paradigms in data engineering and science


• Well versed in AGILE, SAFe and Program Management methods


• Bachelor’s degree with a preference for Computer Science, Master’s / Phd is a plus.
  

• 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