AWS Generative AI Engineer at Capgemini
Columbia, SC
$80,420–$106,050from the description
Jul 27, 2026
Columbia, SC
Jul 28, 2026
What this job asks for AI summary
This role designs, builds, and deploys Generative AI solutions on AWS for enterprise clients, with a focus on Amazon Bedrock, Anthropic Claude models, and RAG architectures. Day-to-day work spans building AI-powered applications (chatbots, document processing, intelligent search), integrating foundation models with enterprise systems, and ensuring responsible AI governance. It suits an experienced cloud/AI engineer comfortable owning end-to-end delivery on AWS.
Senior level · 5+ years · Charlotte-Concord-Gastonia, NC-SC · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 35 people in the Charlotte-Concord-Gastonia, NC-SC area plausibly meet what this posting asks for (software developers). range 10–65
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,909 (middle half $110,048–$168,680). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The job title header states 'Charlotte NC' but the posting footer lists 'Columbia, SC' as the location. Charlotte-Concord-Gastonia CBSA is used as the primary metro given the title prominence and the hybrid/day-one-onsite framing; hiring managers should confirm the actual work site.
The 5–10 year overall experience range maps to the overall years minimum of 5; the posting also separately requires 2–4 years specifically in Generative AI/LLM development.
ECS and EKS appear together in the required skills list as a paired item; EKS is captured as an alternative since either container orchestration platform satisfies the requirement.
A Bachelor's or Master's degree is listed under Preferred Qualifications only, so no hard degree requirement is set.
AWS certifications (ML Engineer, AI Practitioner) are listed as preferred, not required, and are not captured as skills since they are credentials rather than technologies.
Finetuning and Model Evaluation appear in the required skills section as capabilities rather than named tools, so they are not emitted as discrete skills.
Read the full posting
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