Remote Principal GenAI Architect — Enterprise AI Strategy

DIRECTV; Burlington (VT); 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 goals. You will lead technical direction, contribute hands-on as an individual contributor, and shape scalable, secure AI systems across the organization.

You will partner with data, platform, and product teams to embed GenAI capabilities, govern architectures, and drive measurable outcomes while ensuring governance and risk management across the enterprise.

Qualifications

• Bachelor-level degree or equivalent experience in a technical field.
• 5–7 years in Enterprise/ Solution Architecture roles; 8+ years preferred.
• Deep expertise in Generative AI and AI/ML architectures including LLMs, RAG, vector stores, and orchestration layers.

Responsibilities

• Serve as technical authority for Generative AI architecture across the enterprise as an individual contributor.
• Drive GenAI strategy, evaluate emerging technologies, and apply them to enterprise solutions.
• Architect MCP implementations and multi-agent/orchestrator frameworks for autonomous AI workflows.
• Design orchestration across LLMs, agents, tools, and downstream systems for performance and reliability.

Skills

Generative AI

AI/ML architecture

LLM-based systems

Multi-agent systems

Security and resilience

Cloud platforms

Education

Bachelor's degree in Computer Engineering / Computer Science / Applied Science / Electrical Engineering / Math

Tools

Salesforce

MuleSoft

Genesys

GenAI platforms / frameworks

Job description

DIRECTV seeks a Principal AI Architect to define and evolve enterprise-grade Generative AI architectures aligned with strategic business goals. You will lead technical direction, contribute hands-on as an individual contributor, and shape scalable, secure AI systems across the organization.

You will partner with data, platform, and product teams to embed GenAI capabilities, govern architectures, and drive measurable outcomes while ensuring governance and risk management across the enterprise.