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GenAI Solution Architect / AI Lead

INFOBAHN SOFTWORLD INC
Charlotte, NC, United States
2 days ago
Apply on www.careerjet.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Engineering Continuous Integration DevOps GitHub Copilot Large Language Models Build Management AI Platforms Kubernetes GPT
+1 more
Microservices

Job description

Drive AI-first engineering strategy and lead GenAI solution architecture across enterprise programs. Design scalable, cloud-native architectures leveraging LLMs, AI agents, orchestration frameworks, APIs, and microservices. Build and deploy GenAI-powered applications using GPT-4/4o, Claude, Gemini, Llama, and advanced Prompt & Context Engineering techniques. Leverage GitHub Copilot, Claude, and AI-assisted development tools to accelerate software delivery, optimize developer productivity, and enforce CI/CD engineering standards. Insurance domain knowledge (optional)

Requirements

GenAI Solution Architecture LLMs & AI Agents Prompt & Context Engineering GitHub Copilot AI-Assisted Development CI/CD & DevOps AWS & Bedrock Cloud-Native Architecture AI Platform Engineering Palantir Stakeholder Leadership

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This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · World Congress 2026 Europe

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

Videos

See all
Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow thumbnail
21:22
World Congress 2025 • about 1 year ago

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow

Kapil Gupta

Evaluating AI models for code comprehension thumbnail
22:03
World Congress 2025 • about 1 year ago

Evaluating AI models for code comprehension

Merrill Lutsky

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • about 2 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Building Products in the era of GenAI thumbnail
59:39
LIVE • almost 3 years ago

Building Products in the era of GenAI

Julian Joseph

Streaming AI Responses in Real-Time with SSE in Next.js & NestJS thumbnail
29:54
World Congress 2025 • about 1 year ago

Streaming AI Responses in Real-Time with SSE in Next.js & NestJS

Ahmed Megahd

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