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. As part of Team Amex, you'll experience this 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.
CEG CS EIS is building a high-impact AI and Automation Enablement team focused on simplifying, standardizing, and transforming CEG business processes through Artificial Intelligence, data-driven insights, and modern automation technologies. This role will partner closely with CEG (Human Resources) stakeholders, process owners to identify opportunities, develop scalable solutions, and deliver measurable business value through AI, automation, and data-driven solutions.
The ideal candidate combines analytical thinking, process improvement skills, and hands-on technical expertise to develop scalable automation solutions leveraging AI, Python, APIs, workflow orchestration tools, and data-driven technologies.
This is an exciting opportunity for individuals passionate about innovation, problem-solving, and leveraging emerging technologies to transform how work gets done.
AI & Automation
- Partner with CEG stakeholders to understand business challenges and define automation requirements. Conduct process assessments and recommend AI and automation solutions to improve efficiency, quality, and customer outcomes.
Design, develop, and deploy automation solutions using Python, Generative AI, APIs, workflow automation platforms, and related technologies.
Leverage Large Language Models (LLMs) and Generative AI technologies to solve business problems, enhance colleague productivity, and improve customer experiences.
- Develop prompt frameworks, AI assistants, knowledge retrieval solutions, and Intelligent workflows to automate repetitive and manual tasks.
- Develop reusable components, frameworks, and accelerators that can be leveraged across multiple business use cases. Integrate automation solutions with enterprise systems and data sources. Support proof-of-concepts, pilot programs, and production deployments.
- Ensure solutions align with enterprise governance, risk, compliance, and Responsible AI requirements.
- Create technical documentation, user guides, and operational support materials. Monitor deployed solutions and troubleshoot issues to ensure reliability, scalability, and business adoption.
- Drive adoption of AI, automation, and data solutions through stakeholder engagement, training, and change management activities to ensure sustainable business impact.
Data Enablement & Insights
- Partner with CEG business, data, and technology teams to support the ingestion, validation, and onboarding of CEG data into Lumi, ensuring data quality, completeness, governance compliance, and alignment with business requirements.
- Develop dashboards, reporting solutions, and insight-generation capabilities using Lumi and other enterprise data assets through Tableau, Power BI, and related analytics platforms, enabling self-service access to actionable business, operational, and customer insights.
Bachelor’s degree in computer science, Engineering, Information Systems, Analytics, Data Science, or a related field.
- 1 to 2 years of experience in AI enabled Automation, Data Management & Analytics, Process Improvement, or related technology-focused roles.
- Strong analytical, problem-solving, and stakeholder management skills with the ability to translate business requirements into scalable technology solutions.
- Strong proficiency in Python and experience building automation solutions.
- Hands on Experience with Generative AI platforms such as OpenAI, Anthropic, Gemini, or equivalent. Should have worked on 1-2 projects. Familiarity with AI orchestration frameworks.
- Hands on Experience in applying Generative AI, Machine Learning concepts, and Large Language Models (LLMs) to solve business problems. Should have worked on 1-2 projects.
- Hands on Experience in GenAI Use cases such as prompt engineering, retrieval-based systems (RAG), or integration of LLM outputs with structured data.
- Knowledge of SQL, data visualization, reporting tools such as Tableau or Power BI.
- Experience working with APIs, data integration, and workflow automation.