The role involves defining and owning AI solution architectures spanning agentic workflows and multi-model orchestration for enterprise-scale applications
Job Summary
The role involves defining and owning AI solution architectures spanning agentic workflows and multi-model orchestration for enterprise-scale applications.
Candidates must ensure scalability, security, and maintainability while adhering to OWASP LLM Top 10 risks and responsible AI standards.
The position requires mentoring peers, establishing best practices in AI engineering, and presenting technical solutions to senior stakeholders.
Matching Summary
The role involves defining and owning AI solution architectures spanning agentic workflows and multi-model orchestration for enterprise-scale applications.
Skills & Requirements
Must-have
Production AI application development
Agentic system frameworks (LangChain, LangGraph)
RAG architecture and vector database optimization
MCP server implementation and tool integration
Cloud model provider integration (AWS Bedrock, Azure)
Nice-to-have
Media and broadcast domain experience
LLM fine-tuning expertise
Cloud AI service certifications
Experience with prompt injection mitigation
Key Requirements
8+ years of software engineering experience
BS/BA in Computer Science or equivalent hands-on experience