Principal AI Architect

Sourced from roleweek.com

The Principal AI Architect is a senior individual contributor who defines and evolves enterprise-grade Generative AI and AI/ML architectures aligned with DIRECTV's strategic objectives. The role provides architectural authority across GenAI platforms, multi-agent systems, and Model Context Protocol (MCP) implementations, ensuring solutions are scalable, secure, and governable. The architect partners with application, data, and platform teams to embed AI capabilities into enterprise solutions while maintaining strong architectural governance.

• Serve as technical authority for Generative AI and AI-driven architecture across the enterprise
• Drive GenAI strategy and solution design using LLMs, RAG, AI agents, vector databases, and orchestration platforms
• Architect and govern Model Context Protocol (MCP) implementations for context, memory, tools, and guardrails
• Design multi-agent and agent-to-agent orchestration architectures for autonomous task decomposition and collaboration
• Define orchestration strategies balancing performance, cost, reliability, and observability
• Establish reusable AI architecture patterns, reference architectures, and best practices
• Partner with business and product stakeholders to translate problems into AI-driven solutions
• Influence enterprise standards for AI architecture, security, data governance, and responsible AI

• Bachelor of Science in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math, or equivalent experience
• 5–7 years required (8+ desired) in Enterprise and Solution Architecture roles
• Deep expertise in Generative AI and AI/ML architectures including LLM-based systems, RAG, vector stores, and orchestration layers
• Proven experience designing multi-agent systems or context-driven GenAI platforms in enterprise environments
• Demonstrated ability to design secure, scalable, and resilient enterprise architectures

• Experience applying Generative AI in enterprise-scale production environments
• Familiarity with Media and Telecom industry architectures
• Experience designing PCI-compliant application architecture
• Hands-on experience with Salesforce, MuleSoft, Genesys, and enterprise GenAI platforms
• Knowledge of AI governance, responsible AI practices, data privacy, and regulatory considerations