At American Express, our culture is built on a 175-year history of innovation, shared <a target="_blank" href="https://www.americanexpress.com/en-us/company/who-we-are/">values</a> and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll 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.How will you make an impact in this role?The Data Analytics Solutions – Emerging Technologies team is seeking a highly skilled and visionary Senior Engineer – Artificial Intelligence to design and deliver advanced AI solutions that address complex challenges in Technology Risk and Information Security.This role is pivotal in driving our mission to build intelligent, secure, and adaptive systems leveraging Generative AI, Agentic AI, and Classical Machine Learning. Youll be part of a forward-looking team that thrives on rapid experimentation, bold ideas, and transforming innovation into real-world, production-ready applications that shape the future of cybersecurity.If youre an AI innovator who thrives at the cutting edge, this is your opportunity to turn breakthrough ideas into lasting impact.Key Responsibilities:<ul><li>Design and deploy AI applications powered by Large Language Models (LLMs), RAG, and agentic frameworks such as LangChain, LangGraph, or AutoGen.</li><li>Implement classical ML models (e.g., classification, clustering, anomaly detection, NLP) and advanced statistical models to support predictive and prescriptive analytics.</li><li>Build scalable, cloud-native pipelines for model training, evaluation, deployment, and monitoring.</li><li>Translate complex cybersecurity and technology risk use cases into practical, scalable AI products — including dashboards, APIs, and autonomous agents.</li><li>Evaluate AI models and systems across modalities using rigorous metrics — including accuracy, latency, robustness, explainability, and fairness — to ensure real-world performance.</li><li>Ensure adherence to enterprise standards for model governance, security, and responsible AI.</li><li>Collaborate closely with data scientists, engineers, and cybersecurity stakeholders to deliver AI-driven capabilities that drive measurable business value.</li><li>Lead a culture of continuous innovation, promoting rapid prototyping and iterative experimentation.</li><li>Contribute to ongoing optimization of platforms, tools, and practices for safer, faster, and more efficient AI product delivery.</li></ul>Requirements &amp; Skills:<ul><li>Bachelor’s degree in computer science, Data Science, Statistics, Engineering, Mathematics, or a related field; Master’s degree preferred.</li><li>Minimum 5 years of experience designing, developing, and deploying AI/ML solutions in production environments.</li><li>Deep hands-on expertise in Generative AI, LLMs, and building autonomous agent-based systems.</li><li>Strong foundation in classical ML algorithms such as regression, clustering, decision trees, NLP, and probabilistic models.</li><li>Demonstrated experience in evaluating AI systems across GenAI, Agentic AI, and classical ML using clear, measurable metrics.</li><li>Knowledge of model lifecycle management, model governance protocols, and MLOps best practices.</li><li>A solution-oriented mindset with the ability to execute quickly and responsibly in complex environments.</li><li>Domain experience in Cybersecurity or Technology Risk is a strong advantage but not required.</li></ul> Technical Experience:Hands-on experience with most of the following tools, frameworks, and technologies is expected:Development &amp; Libraries<ul><li>Python, Jupyter Notebooks, VS Code, PyCharm, Github Copilot</li><li>PyTorch, TensorFlow, scikit-learn</li><li>Vector databases: pgVector, Milvus</li></ul>Generative &amp; Agentic AI<ul><li>Hugging Face Transformers</li><li>LangChain, LangGraph, AutoGen</li></ul>Orchestration &amp; Model Serving<ul><li>Argo Workflows, Kubeflow Pipelines, MLRun</li><li>vLLM, Triton Inference Server</li></ul>Containers &amp; CI/CD<ul><li>Docker, Kubernetes</li><li>Jenkins, XL Release</li></ul>Data &amp; Observability<ul><li>SQL, NoSQL, Spark, Dask, Apache Kafka, Apache NiFi</li><li>Elasticsearch, Kibana, Prometheus</li></ul>APIs &amp; Deployment<ul><li>RESTful API and web application development</li><li>Experience with cloud platforms: AWS, Azure, or Google Cloud</li></ul> Salary Range: $123,000.00 to $190,000.00 annually + bonus + benefitsThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:<ul><li>Competitive base salaries </li><li>Bonus incentives </li><li>6% Company Match on retirement savings plan </li><li>Free financial coaching and financial well-being support </li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits </li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need </li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy </li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) </li><li>Free and confidential counseling support through our Healthy Minds program </li><li>Career development and training opportunities</li></ul>For a full list of Team Amex benefits, visit our <a target="_blank" href="https://www.americanexpress.com/en-us/colleagues/benefits">Colleague Benefits Site</a>.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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.We back our colleagues with the support they need to thrive, professionally and personally. Thats why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.US Job Seekers - Click to view the “<a target="_blank" href="https://www.eeoc.gov/poster">Know Your Rights</a>” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: <a target="_blank" href="https://www.eeoc.gov/poster">https://www.eeoc.gov/poster</a>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

American Express

Senior Artificial Intelligence Engineer

American Express

Similar Remote Jobs