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
agentic workflows
RAG architectures
vector database strategies
MCP server infrastructure
model provider integrations
AI observability patterns
responsible AI standards
Nice-to-have
experience in Media and Broadcast domain
awareness or experience with LLM fine-tuning
relevant certifications
Key Requirements
8+ years of experience in software engineering
AI/agent development experience strongly preferred
BS/BA in Computer Science or equivalent experience