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AI Engineer III
American ExpressAI Engineer III building production GenAI and agentic AI solutions for American Express. Developing LLM workflows, data pipelines, and CRM integrations on Google Cloud.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing AI solutions, particularly with Large Language Models (LLMs) and GenAI applications, while ensuring compliance with enterprise standards. Proficient in building scalable data pipelines and integrating AI applications with cloud services and enterprise systems.
Highest-signal resume keywords
Large Language Models (LLMs)GenAI Application DevelopmentGoogle Cloud Platform (GCP)Python ProgrammingAI/ML Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Solutions DevelopmentData Pipeline DevelopmentRetrieval-Augmented Generation (RAG)Prompt EngineeringBackend Services DevelopmentAPIs IntegrationMachine Learning EngineeringData EngineeringCloud-Native Application DevelopmentContainerization (Docker)
Soft Skills
Problem-SolvingAnalytical SkillsCommunication SkillsCollaboration
Tools & Technologies
Google Cloud Platform (GCP)BigQueryComposer (Airflow)DataProcLangChainLangGraphPyTorchTensorFlowScikit-learnCI/CD
Industry Keywords
Agentic AIOrchestration FrameworksContext ManagementMulti-Step AI WorkflowsEnterprise SecurityGovernanceResponsible AI
Tech Stack
Tools & technologiesAirflowBigQueryCloudDistributed SystemsDockerGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Develop and implement AI and Agentic AI solutions that enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms
- Build intelligent workflows using Large Language Models (LLMs), enterprise data, and tool integrations to automate customer and business processes
- Develop production-ready GenAI applications, including Retrieval-Augmented Generation (RAG), prompt engineering, and AI-powered business workflows
- Build and maintain scalable data pipelines and AI solutions using Google Cloud Platform (GCP) services such as BigQuery, Composer (Airflow), DataProc, and related cloud services
- Integrate AI applications with enterprise systems, APIs, and data platforms while ensuring operational reliability and performance
- Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI-enabled solutions
- Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards
- Ensure AI applications comply with enterprise security, governance, responsible AI, and operational standards
Requirements
What you’ll need- Bachelor’s degree in technology related discipline or equivalent experience preferred
- 6-8 years of experience in software engineering, machine learning engineering, data engineering, or applied AI
- Hands-on experience building or integrating GenAI applications using Large Language Models (LLMs)
- Experience with Agentic AI concepts, including orchestration frameworks, tool calling, context management, or multi-step AI workflows
- Understanding of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM evaluation techniques
- Strong programming skills in Python and experience developing backend services, APIs, and data pipelines
- Experience with AI/ML frameworks such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn
- Working knowledge of Google Cloud Platform (GCP), including BigQuery, Composer (Airflow), DataProc, Cloud Storage, and related data services
- Understanding of cloud-native application development, distributed systems, and modern software engineering practices
- Knowledge of CI/CD, containerization (Docker), and production deployment concepts
- Good problem-solving, analytical, and communication skills with the ability to work collaboratively in cross-functional teams
- Successful completion of a background verification check, subject to applicable laws and regulations
Benefits
Comp & perks- 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