Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Staff AI Engineer

  • Staff AI Engineer job type Posted on: Nov 08, 2026
  • Staff AI Engineer experience level JCW Group
  • Staff AI Engineer employment type Charlotte, North Carolina
  • Staff AI Engineer employment type Onsite
  • Staff AI Engineer salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Staff AI Engineer roles in North Carolina.

View Salary Guide →

Job Title :

Staff AI Engineer

Job Type :

Full-Time

Job Location :

Charlotte North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Staff AI / GenAI Engineer – Platform EngineeringOur client, a leading global banking organisation, is building a next-generation AI Platform Engineering function responsible for delivering scalable AI capabilities across the business.This is a rare opportunity to join a high-calibre engineering team at the early stages of a major enterprise AI transformation. The team is building cutting-edge GenAI platforms, automation agents, and reusable AI services that will underpin AI adoption across the organisation.Working within a highly innovative, greenfield environment, you will help shape the architecture, tooling, and engineering standards behind enterprise-scale AI systems in a business-critical setting.The successful candidate will be a highly hands-on engineer with strong experience building production-grade AI products and scalable cloud-based systems.Key ResponsibilitiesBuild scalable AI/GenAI platform services and infrastructureDevelop AI-powered applications, automation agents, and enterprise AI workflowsBuild RAG pipelines, vector search capabilities, and orchestration frameworksDevelop backend services and APIs using PythonImplement LLMOps/MLOps best practices including monitoring, evaluation, observability, and guardrailsDesign scalable solutions capable of supporting enterprise-wide adoptionContribute to architecture, technical standards, and platform engineering best practicesRequired ExperienceStrong hands-on Python engineering experienceExperience building and deploying AI/GenAI products in production environmentsStrong knowledge of Azure and DatabricksExperience with RAG architectures, embeddings, vector databases, and prompt engineeringExperience with AI orchestration frameworks such as LangGraph, LlamaIndex, or similarStrong backend engineering and cloud infrastructure experienceExperience building scalable enterprise-grade systemsComfortable operating in fast-moving, greenfield environmentsDesirable ExperienceAKS / KubernetesMLflow / LLMOps toolingAI observability and evaluation toolingCustomer-facing AI products or chatbotsFinancial services or regulated environment experience

Jobcon Logo Position Details

Posted:

Nov 08, 2026

Reference Number:

10440_4483043938

Employment:

Full-time

City:

Charlotte

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Staff AI Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Staff AI / GenAI Engineer – Platform EngineeringOur client, a leading global banking organisation, is building a next-generation AI Platform Engineering function responsible for delivering scalable AI capabilities across the business.This is a rare opportunity to join a high-calibre engineering team at the early stages of a major enterprise AI transformation. The team is building cutting-edge GenAI platforms, automation agents, and reusable AI services that will underpin AI adoption across the organisation.Working within a highly innovative, greenfield environment, you will help shape the architecture, tooling, and engineering standards behind enterprise-scale AI systems in a business-critical setting.The successful candidate will be a highly hands-on engineer with strong experience building production-grade AI products and scalable cloud-based systems.Key ResponsibilitiesBuild scalable AI/GenAI platform services and infrastructureDevelop AI-powered applications, automation agents, and enterprise AI workflowsBuild RAG pipelines, vector search capabilities, and orchestration frameworksDevelop backend services and APIs using PythonImplement LLMOps/MLOps best practices including monitoring, evaluation, observability, and guardrailsDesign scalable solutions capable of supporting enterprise-wide adoptionContribute to architecture, technical standards, and platform engineering best practicesRequired ExperienceStrong hands-on Python engineering experienceExperience building and deploying AI/GenAI products in production environmentsStrong knowledge of Azure and DatabricksExperience with RAG architectures, embeddings, vector databases, and prompt engineeringExperience with AI orchestration frameworks such as LangGraph, LlamaIndex, or similarStrong backend engineering and cloud infrastructure experienceExperience building scalable enterprise-grade systemsComfortable operating in fast-moving, greenfield environmentsDesirable ExperienceAKS / KubernetesMLflow / LLMOps toolingAI observability and evaluation toolingCustomer-facing AI products or chatbotsFinancial services or regulated environment experience

Loading
Please wait..!!