Senior Engineer II

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 lets lead the way together.

SENIOR ENGINEER of Digital Workspace AI/ML Platform

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.

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.

Proficiency in programming languages such as Python, TensorFlow, PyTorch, and related libraries for model development and deployment.

Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.

Expertise in pre-processing and cleaning large datasets for training models.

Familiarity with data augmentation techniques to enhance model performance.

Knowledge of LLM operations , including evaluating model performance using appropriate metrics and benchmarks.

Ability to iterate and improve models based on evaluation results.

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

Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.

Experience with modern AI/ML & NLP Frameworks (e.g. Tensorflow), Dialogue Managers (e.g.Rasa), Search (e.g. Google Bert, GPT-3), Parsers (e.g. Dialogflow).

Review architecture and provide technical guidance for engineers

Perform statistical analysis of results and refine models

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.

Hands on 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 Tableau, Power BI, etc.

Experience with complex, high volume, multi-dimensional data, as well as ML/AI models for unstructured, structured, and streaming datasets.

Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks

Exposure in building cloud-native platforms on modern tech stack: AWS, Java, Spring Framework, RESTful API, and container-based application.

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

Proven experience attracting, hiring, retaining, and leading top engineering talent.

Creative, passionate, and experienced leader of both people and technology

Team Management savvy (e.g., planning, budgetary control, people management, vendor management, etc.).

Experience with DevOps, reliability engineering, and platform monitoring

Well versed in AGILE, DevOps and Program Management methods

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

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.