Aviation AI Engineer: End-to-End Deployment Lead

Xebia

Abu Dhabi

On-site

AED 350,000 - 600,000

Full time

2 days ago
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Job summary

Xebia is building in-house AI expertise to deliver AI in aviation. As Forward Deployed AI Engineer, Technical Lead you set the technical direction for a squad embedded in the business and own end-to-end design, build, deploy and run of agentic AI systems for aviation outcomes.

You collaborate with a Business Product Owner and an AI Value Architect on a shared platform, ensuring security, governance, and scalable delivery across enterprise systems.

Qualifications

  • 8+ years of production software experience with 4+ years in GenAI/LLMs.
  • Hands-on agentic AI knowledge and shipping agentic systems at scale.
  • Experience connecting agents to tools, APIs and data via MCP.
  • Experience with cloud deployment, containers, monitoring and security governance.

Responsibilities

  • Define technical direction for agentic AI work within a squad.
  • Design, build, deploy and operate enterprise-grade AI agents end-to-end.
  • Lead multi-agent and agent-to-agent systems with vendor platforms.
  • Mentor engineers and raise quality, security, and cost standards.
  • Collaborate with Product Owner and AI Value Architect to deliver outcomes.

Skills

GenAI
LLMs
Applied ML
Agentic AI
Cloud deployments
APIs & integrations
Security & Governance
Enterprise software

Education

Master's degree in CS/AI or equivalent
Cloud-AI / GenAI certifications

Tools

LangGraph
Semantic Kernel
CrewAI
AutoGen
OpenAI Agents SDK
Microsoft Foundry
Amazon Bedrock AgentCore
Google Vertex/Gemini
Azure AI Search
pgvector
Pinecone
Weaviate
OpenSearch

Job description

Xebia is building in-house AI expertise to deliver AI in aviation. As Forward Deployed AI Engineer, Technical Lead you set the technical direction for a squad embedded in the business and own end-to-end design, build, deploy and run of agentic AI systems for aviation outcomes.

You collaborate with a Business Product Owner and an AI Value Architect on a shared platform, ensuring security, governance, and scalable delivery across enterprise systems.

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