Remote Senior GenAI Architect for Enterprise AI

DIRECTV; Milwaukee (WI); 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 goals. You’ll provide hands-on architectural leadership across GenAI, AI/ML platforms, and enterprise systems to ensure scalable, secure, and governable AI solutions.

You’ll partner with Application, Data, Platform, and Product teams to embed GenAI capabilities into enterprise solutions while maintaining governance and future-proofing.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• 5–7 years in Enterprise/Solution Architecture; 8+ years preferred.
• Deep expertise in GenAI and AI/ML architectures.
• Experience designing multi-agent systems and orchestration frameworks.

Responsibilities

• Serve as technical authority for Generative AI architecture enterprise-wide.
• Drive GenAI strategy, assess LLMs, RAG, vector stores, prompts, and orchestration platforms.
• Architect MCP implementations with context, memory, tools, policies, and guardrails.
• Design multi-agent/or agent-to-agent orchestration for autonomous AI workflows.
• Define orchestration strategies balancing performance, cost, reliability, and observability.
• Translate business problems into AI-driven solutions with measurable outcomes.
• Lead discovery workshops and governance for reusable AI patterns.

Skills

Generative AI architectures

LLM-based systems

Multi-agent systems

Agent orchestration

Secure architectures

AI governance

Education

B.S. in CS/CE/EE/Applied Science/Math

Tools

Salesforce

MuleSoft

Genesys

Job description

DIRECTV seeks a Principal AI Architect to define and evolve enterprise-grade Generative AI architectures aligned with strategic goals. You’ll provide hands-on architectural leadership across GenAI, AI/ML platforms, and enterprise systems to ensure scalable, secure, and governable AI solutions.

You’ll partner with Application, Data, Platform, and Product teams to embed GenAI capabilities into enterprise solutions while maintaining governance and future-proofing.