Job Description

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 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.

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.

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 engineer of this group, you will:

• Create and build entire AI ML solution in production grade.
• Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture/ solutions 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
• 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 culture of innovation, ownership, accountability, and customer focus
• Contribute to the American Express Data and AI ML 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 next generative solution. 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. 

• Have extensive knowledge to build production grade MLOPS
• Have extensive knowledge of AI ML, NLP, deep learning and generative AI
• 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.
• 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 production grade platforms like.
• Good to have experience with Visualization Tools like ElasticSearch, Tableau, Power BI, etc.
• 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.

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.