Enterprise AI Lead: Multi-Agent GenAI for Aviation

KBC Technologies

Abu Dhabi

On-site

AED 240,000 - 420,000

Full time

14 days+

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Job summary

KBC Technologies is seeking a Forward Deployed AI Engineer – Technical Lead to design, build, and deploy enterprise-grade Agentic AI solutions for aviation. This role blends hands-on engineering, architecture, and leadership to deliver production-grade multi-agent AI systems at scale.

You will work with stakeholders to design multi-agent workflows, RAG architectures, and cloud-native platforms, guiding teams and setting engineering standards in a demanding aviation environment.

Qualifications

  • Bachelor’s degree in a related field.
  • 8+ years of production software engineering experience.
  • 4+ years in Generative AI/Applied AI/ML/LLM-based solutions.
  • Minimum 1 year hands-on Agentic AI development experience.
  • Strong Python development expertise.
  • Proficiency in MCP and LLM application architecture and deployment.
  • Experience delivering enterprise AI solutions.

Responsibilities

  • Design and deploy enterprise-scale Agentic AI solutions.
  • Develop multi-agent systems and autonomous workflows.
  • Build Generative AI apps powered by LLMs.
  • Implement Retrieval-Augmented Generation (RAG) architectures.
  • Integrate AI services into enterprise apps and workflows.
  • Develop APIs, backend services, and AI microservices.
  • Build cloud-native AI platforms and solutions.
  • Establish AI governance, observability, and evaluation.

Skills

Python
MCP
LLM
Cloud-native

Education

Bachelor’s Degree in Computer Science or related

Tools

TypeScript/JavaScript/Java/C#

Job description

KBC Technologies is seeking a Forward Deployed AI Engineer – Technical Lead to design, build, and deploy enterprise-grade Agentic AI solutions for aviation. This role blends hands-on engineering, architecture, and leadership to deliver production-grade multi-agent AI systems at scale.

You will work with stakeholders to design multi-agent workflows, RAG architectures, and cloud-native platforms, guiding teams and setting engineering standards in a demanding aviation environment.

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