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AI Engineer – Global Infrastructure
American Express. Develop and optimize AI/ML models for integration with production environments .
Posted 9/17/2026full-timeNew York City • Arizona • United StatesMid-LevelSenior💰 $89,250 - $150,250 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing AI/ML models, building scalable data pipelines, and ensuring compliance with governance and security standards. Proficient in deploying machine learning solutions and collaborating with cross-functional teams to align technology with business objectives.
Highest-signal resume keywords
AI/ML Model DevelopmentData Pipeline OptimizationNatural Language ProcessingMachine Learning OperationsCI/CD Pipeline Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMachine Learning TechniquesData Processing TechnologiesLarge Language ModelsModel Evaluation ApproachesETL ProcessesDistributed SystemsAPIsCloud-Native InfrastructureGenerative AI
Soft Skills
CollaborationTroubleshootingCommunication
Tools & Technologies
CI/CD ToolsContainerizationMachine Learning Operations Tools
Industry Keywords
AI GovernanceSecurity ComplianceEnterprise StandardsRetrieval-Augmented GenerationPrompt Engineering
Tech Stack
Tools & technologiesCloudDistributed SystemsETLPython
About the role
Key responsibilities & impact- Develop and optimize AI/ML models for integration with production environments
- Build and enhance scalable, efficient data pipelines for AI processing
- Participate in designing and reviewing AI architectures aligned with enterprise standards
- Implement model monitoring and evaluation techniques to improve system performance
- Ensure AI solutions meet governance, security, and compliance requirements
- Support and troubleshoot AI models and data processing pipelines in production
- Collaborate with product and business teams to align technology initiatives with business objectives
- Develop and integrate production AI system components, including ML models and LLM-based services
- Contribute to model training pipelines, inference services, and retrieval workflows
- Apply enterprise standards for observability, safety, and compliance
Requirements
What you’ll need- Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
- Knowledge of Python and data processing technologies
- Knowledge of natural language processing techniques such as fuzzy wuzzy, BERT, and Transformer models
- Working knowledge of machine learning techniques and model evaluation approaches
- Understanding of modern AI architectures, LLM integration patterns, retrieval-augmented generation (RAG), and basic orchestration concepts
- Experience in software development focused on machine learning, generative AI, Big Data, and prompt engineering
- Experience with large language models, especially GPT-3.5/4 or similar AI models
- Experience with Python or R
- Experience deploying AI models and pipelines using machine learning operations tools
- Experience applying machine learning algorithms to real-world problems
- Experience with CI/CD pipelines and containerized deployments
- Experience building and maintaining data pipelines and ETL processes
- Experience developing and deploying machine learning or LLM-enabled applications in production or near-production environments
- Practical experience with distributed systems, APIs, and cloud-native infrastructure supporting AI workloads
- Moderate expertise in a specific technical domain
- Employment eligibility to work with American Express in the United States is required; visa sponsorship is not available
Benefits
Comp & perks- 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