AI Engineer III - Global Dining Technology at American Express
New York, NY
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Jul 26, 2026
New York, NY
Jul 28, 2026
What this job asks for AI summary
This is a hands-on software engineering role on American Express's Global Dining and Agentic AI platform team, focused on building and shipping production agentic AI systems that operate on real financial data. The engineer will design and implement LLM-powered, autonomous workflows and customer-facing AI features within a regulated financial services environment, working closely with product, design, and senior engineering colleagues. The role includes post-launch operations and system design participation, with mentorship provided.
Mid level · Full-time
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How this req sits in the market our data
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (5)
The job posting is notably thin on concrete named technologies — no specific languages, frameworks, cloud platforms, or tooling are mentioned anywhere in the description. The only technical domains named are LLMs, agentic AI systems, and production AI engineering, which have been captured as skills.
The title 'AI Engineer III' maps to a mid-level (III = level 3) individual contributor; the posting's emphasis on mentorship and learning from senior engineers further supports a Mid seniority classification.
The role sits at the intersection of software development (production code, system design) and applied AI/data science (LLMs, agentic systems), making the SOC classification genuinely ambiguous between 15-1252 Software Developers and 15-2051 Data Scientists; 15-1252 was chosen because the posting explicitly emphasizes writing production code and shipping features rather than modeling or research.
No compensation, degree requirement, or clearance requirement is mentioned in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): production AI engineering.
Read the full posting
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