You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
SENIOR ENGINEER of Digital Workspace AI/ML Platform
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 datato provide real-time, meaningful insights in areas such as user experience, health scoring, productivity, and overall IT visibility. As the Engineering Director of the Digital Workplace AI/ML Platform, you will have responsibility for leading the engineering teams to develop the AI/ML and GENAI platform and enhance it to provide personalization capabilities, analytics, and predictive analysis using AI/ML and GENAI.
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 AI//ML 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 AI/ML models on the data to build meaningful insights & predictive analysis
●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 AI/ML 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 building AI and LLM solutions, and Analytics suits
●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.
Professional Qualifications:
●Demonstrated experience leading engineering teams in remote and distributed product engineering setup.
●Experience writing software in Python, Scala or similar.
●Experience with data structures, algorithms, and software design.
●Exposure to Data Science including Predictive Modelling.
●Develop Algorithms in multilingual conversational systems.
●Solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
●Proven experience in developing and working with large language models (GPT-3, BERT, T5, etc.) and productionizing them on the cloud.
●Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
●Mandatory Strong experience in Graph databases like Neo4js to integrate graph algorithms with conversational bots.