Define and own AI solution architectures spanning agentic workflows, MCP server infrastructure, and multi-model orchestration
Job Summary
Define and own AI solution architectures spanning agentic workflows, MCP server infrastructure, and multi-model orchestration.
Drive integration with major model providers (AWS Bedrock, Azure OpenAI, Anthropic, etc.) and define standards for model selection, routing, and fallback.
Uphold and define security, compliance, and responsible AI standards, specifically addressing OWASP LLM Top 10 risks, prompt injection, and PII leakage.
Matching Summary
Define and own AI solution architectures spanning agentic workflows, MCP server infrastructure, and multi-model orchestration.
Skills & Requirements
Must-have
AI solution architectures
RAG architectures and vector database strategies
MCP servers and tool integrations
integration with major model providers
AI observability and prompt engineering
responsible AI standards
Nice-to-have
experience in Media and Broadcast domain
awareness or experience with LLM fine-tuning
Key Requirements
8+ years of experience in software engineering
BS/BA in Computer Science or equivalent experience
Hands-on expertise designing AI agents
Deep understanding of RAG implementation
Proficiency in backend programming language
Familiarity with cloud environments and containerization