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.
Establish engineering patterns for AI observability, prompt engineering, and rigorous AI evaluation frameworks to ensure reliability.
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
agentic systems and workflows
RAG architectures and vector databases
MCP servers and tool integrations
model provider integrations
AI observability and evaluation frameworks
responsible AI standards
Nice-to-have
experience in Media and Broadcast domain
LLM fine-tuning awareness or experience
clear and compelling technical presentations
Key Requirements
8+ years software engineering experience
BS/BA in Computer Science or equivalent experience