Senior Agentic AI Engineer II – Global Infrastructure

American Express

. Supervise and mentor AI Engineers and cross-functional colleagues on tasks and projects .

Posted 9/17/2026full-timeNew York City • Arizona • United StatesSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI and machine learning frameworks, with a strong focus on natural language processing and Big Data technologies. Proven ability to lead teams, mentor junior engineers, and ensure compliance with model governance and security standards.

Highest-signal resume keywords

AI Model IntegrationNatural Language ProcessingMachine Learning OperationsBig Data TechnologiesLeadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningNatural Language ProcessingBig Data (Hadoop, Spark)Generative AIModel Evaluation and OptimizationAI ArchitectureData Pipeline DevelopmentContinuous Integration/Continuous DeploymentContainerized Deployments

Soft Skills

CollaborationDecision-MakingInfluencing Technical AreasMentoringProject Management

Tools & Technologies

BERTTransformer ModelsGPT-3.5/4Machine Learning Operations ToolsOrchestration Frameworks

Industry Keywords

Model GovernanceAI ReliabilityExplainabilityObservabilityRegulatory Compliance

Tech Stack

Tools & technologies

CloudHadoopJavaPythonSparkC++

About the role

Key responsibilities & impact

Supervise and mentor AI Engineers and cross-functional colleagues on tasks and projects
Integrate AI models into production systems in collaboration with cross-functional teams
Monitor and ensure compliance with model governance, security, and compliance standards
Guide and support junior AI engineers
Design and develop AI/machine learning frameworks for large-scale data processing, prompt engineering, and generative AI
Apply machine learning algorithms to prompt engineering and natural language processing problems
Translate complex business requirements into AI/machine-learning-driven solutions
Build and optimize Big Data pipelines and AI-based systems to automate business processes
Implement natural language processing models to classify and analyze complex business text data
Establish machine learning operations pipelines for scalable model deployment, monitoring, and maintenance
Design and evolve distributed AI systems integrating models, LLMs, and data services
Develop multi-stage retrieval pipelines, autonomous workflows, orchestration frameworks, and system-level evaluation
Establish standards for AI reliability, safety, explainability, observability, and regulatory compliance
Collaborate with product and business teams to align technology initiatives with business objectives
Manage complex tasks, influence technical areas across multiple teams and projects, and make critical decisions affecting project success and operational efficiency

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 such as Big Data (Hadoop, Spark)
Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications
Deep expertise in machine learning, including tradeoffs in model selection, evaluation, and optimization
Expert-level understanding of modern AI architectures, including LLM systems, agentic workflows, retrieval strategies, and scalable orchestration patterns
Experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering
Experience working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
Experience in Python, R, Java, or C++
Experience deploying AI models and pipelines using machine learning operations tools
Experience with machine learning algorithms and applying them to real-world problems
Experience with continuous integration/continuous deployment pipelines and containerized deployments
Experience building and maintaining data pipelines and extract, transform, and load processes
Extensive experience architecting and deploying large-scale AI systems in production environments
Experience leading development of distributed AI platforms, real-time inference systems, and cloud-native AI services
Advanced expertise in a technical domain, and moderate expertise across several different domains
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions

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