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 responsible AI standards and addressing OWASP LLM Top 10 risks.
The position requires mentoring peers, establishing best practices in agent design, 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
Agentic system design and deployment
RAG architecture and vector database optimization
MCP server implementation and tool integration
Cloud model provider integration AWS Azure Anthropic
Python or TypeScript backend development
AI observability and evaluation frameworks
OWASP LLM Top 10 security compliance
Nice-to-have
Experience in media and broadcast domain
LLM fine-tuning expertise
AWS or Azure cloud certifications
Mentoring peers in AI engineering
Strong communication with senior stakeholders
Key Requirements
8+ years of software engineering experience
BS/BA in Computer Science or equivalent hands-on experience
Advanced experience building production AI applications