Remote Principal AI Architect: GenAI Strategy

DIRECTV; Cheyenne (WY); Remote; USD 134,000 - 244,000; Full time

Job summary

DIRECTV seeks a Principal AI Architect to define and evolve enterprise‑grade Generative AI architectures aligned with strategic business objectives. You will provide deep technical leadership across GenAI, AI/ML platforms, and enterprise systems, ensuring scalable, secure, and reusable solutions for the organization.

In this role, you will partner with application, data, and platform teams to embed AI capabilities, drive MCP and multi‑agent frameworks, and establish governance standards that

Qualifications

• Bachelor's degree or equivalent experience in a technical field.
• 5–7 years in Enterprise and Solution Architecture roles; 8+ years preferred.
• Deep expertise in Generative AI and AI/ML architectures (LLMs, RAG, vector stores).
• Experience designing multi-agent systems and context-driven GenAI platforms.

Responsibilities

• Serve as technical authority for Generative AI and AI-driven architecture across the enterprise.
• Drive GenAI strategy, evaluate emerging technologies, and apply AI platforms in enterprise solutions.
• Architect MCP implementations including context, memory, tools, policies and guardrails.
• Design multi‑agent and agent‑to‑agent orchestration architectures for autonomous AI workflows.
• Define orchestration strategies coordinating LLMs, agents, tools, and downstream systems.

Skills

GenAI architectures

AI/ML architectures

Architectural leadership

Enterprise architecture

Model Context Protocol (MCP)

Education

Bachelor's degree in Computer Science or related field

Tools

Salesforce

MuleSoft

Genesys

Job description

DIRECTV seeks a Principal AI Architect to define and evolve enterprise‑grade Generative AI architectures aligned with strategic business objectives. You will provide deep technical leadership across GenAI, AI/ML platforms, and enterprise systems, ensuring scalable, secure, and reusable solutions for the organization.

In this role, you will partner with application, data, and platform teams to embed AI capabilities, drive MCP and multi‑agent frameworks, and establish governance standards that