Remote Principal AI Architect – GenAI & Enterprise Systems

DIRECTV; Chicago (IL); Remote; USD 134,000 - 244,000; Full time

Job summary

DIRECTV seeks a Principal AI Architect to define, design, and evolve enterprise-grade Generative AI architectures aligned with business objectives. You’ll lead at the intersection of GenAI platforms, enterprise systems, and governance, delivering scalable, secure AI capabilities across the organization.

In collaboration with application, data, and platform teams, you will shape MCP, multi-agent orchestration, and model governance, while guiding practical implementations that balance performance,

Qualifications

• : Bachelor-level degree required; or equivalent experience.
• : 5–7 years of enterprise/solution architecture experience; 8+ preferred.
• : Deep expertise in Generative AI and AI/ML architectures (LLMs, RAG, vector stores, orchestration).
• : Experience designing multi-agent systems and context-driven GenAI platforms in enterprise environments.
• : Ability to design secure, scalable, and resilient enterprise architectures.

Responsibilities

• Serve as technical authority for Generative AI across the enterprise.
• Drive GenAI strategy and solution design using LLMs, RAG, AI agents, vector databases, prompt frameworks.
• Architect MCP implementations and agent orchestration frameworks for autonomous AI workflows.
• Design multi-agent and agent-to-agent orchestration enabling autonomous task decomposition.
• Define orchestration strategies balancing performance, cost, reliability, observability.
• Translate business problems into AI-driven solutions with measurable outcomes.

Skills

GenAI architectures

LLM platforms

Multi-agent systems

Agent orchestration

Model governance

Security architecture

Data governance

Technical leadership

Architectural authority

Education

Bachelor's degree in Computer Engineering/CS/EE/Math

Tools

Salesforce

MuleSoft

Genesys

Job description

DIRECTV seeks a Principal AI Architect to define, design, and evolve enterprise-grade Generative AI architectures aligned with business objectives. You’ll lead at the intersection of GenAI platforms, enterprise systems, and governance, delivering scalable, secure AI capabilities across the organization.

In collaboration with application, data, and platform teams, you will shape MCP, multi-agent orchestration, and model governance, while guiding practical implementations that balance performance,