Related skills
rag langgraph openai anthropic azure openai📋 Description
- Set technical strategy for agentic architecture including orchestration, tool integration, memory, evaluation, and governance.
- Lead multi-disciplinary teams building enterprise AI agents integrated with airline systems.
- Create and drive adoption of reusable agent components across operating companies.
- Decide on model selection, GraphRAG, RAG optimization, LangGraph patterns and model cost modelling.
- Establish best practices for OpenAI, Anthropic, Azure OpenAI, LangGraph, AutoGen and other agent frameworks.
- Implement strong engineering discipline: observability, safety, automated evaluation, behavioural testing, continuous improvement.
🎯 Requirements
- 15+ years of engineering leadership delivering complex software at scale.
- Experience architecting and delivering production AI agents with business impact.
- Deep expertise in OpenAI ecosystem: orchestration, tool calling, evaluation, runtime.
- Strong experience with Anthropic and Azure OpenAI; plus LangGraph or AutoGen.
- Leading internal teams and external partners to high-quality outcomes.
- Track record in matrix environments; influence without direct authority.
- Integrate LLM agents with enterprise systems, APIs, RPA and orchestration.
- DevSecOps, cloud-native architecture, observability and CI/CD.
🎁 Benefits
- An opportunity to join a fast-growing company.
- Competitive salaries based on experience.
- Learning and development opportunities.
- Flexible working environment.
- Career advancement options.
- Competitive benefits package.
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