Job DescriptionData Analytics Solutions - Emerging Technologies team is looking for an Engineer - Artificial Intelligence to help design and build impactful, intelligent, and secure AI solutions for Information Security & Governance and Control. We are seeking a technically strong AI professional with hands-on experience in Machine Learning, Deep Learning, Generative AI, and AI system development-someone who can translate business needs into scalable, production-ready AI applications and contribute to solutions that drive meaningful outcomes.
If you are excited to work at the intersection of AI, data, cybersecurity, and emerging technologies to solve complex business challenges, this role is for you.
ResponsibilitiesAs an AI Engineer, you will play a key role in designing, developing, and deploying end-to-end AI applications that solve complex business challenges and enable intelligent automation. This role requires strong hands-on experience in Machine Learning, Deep Learning, and Generative AI, along with practical exposure to building AI-driven systems, including agent-based solutions. You will work in a cross-functional environment that values innovation, engineering rigor, secure solution design, and responsible AI development.
- Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks.
- Translate business, Information Security, Governance, and Technology Risk requirements into scalable AI applications.
- Develop, test, and improve models for NLP, classification, clustering, anomaly detection, and predictive analytics.
- Support model lifecycle activities including experimentation, evaluation, versioning, deployment, monitoring, and documentation.
- Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, Kubernetes, and related tools.
- Collaborate with Security, Risk, Engineering, Governance, and Data teams to deliver secure, reliable, and responsible AI solutions.
- Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, MLOps, and responsible AI.
Qualifications- Bachelor's degree in computer science, Engineering, Data Science, AI, or a related field.
- Hands-on experience developing AI/ML, GenAI, or data-driven applications.
- Strong Python programming skills and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, or similar tools.
- Working knowledge of LLMs, NLP, embeddings, RAG, prompt engineering, and AI application development.
- Exposure to APIs, cloud platforms, Docker, Kubernetes, vector databases, and software engineering best practices.
- Ability to understand business needs, solve technical problems, and collaborate effectively across teams.
Preferred Qualifications
- Exposure to Information Security, Governance, Technology Risk, cybersecurity, or enterprise risk analytics.
- Familiarity with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
- Exposure to MLOps/data tools such as MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi.
Hands-on experience or working knowledge of the following tools, frameworks, and technologies:
- Data Engineering: SQL, NoSQL, Spark, Kafka, NiFi.
- AI/ML Development: Python, TensorFlow, PyTorch, scikit-learn, Jupyter Notebooks, Shell Scripting, and vector databases such as pgVector or Milvus.
- MLOps & Orchestration: MLflow, Kubeflow Pipelines, Argo Workflows, ML Run, or Triton Inference Server.
- Deployment & Containers: Docker, Kubernetes, RESTful APIs development.
- Observability & CI/CD: Elasticsearch, Kibana, Prometheus, Jenkins, XL Release, or similar tools.
- Cloud: Exposure to AWS, Azure, or Google Cloud is a plus.
- Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
About the TeamWe 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:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
The below 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.
