Remote Senior GenAI Architect & Strategic Tech Leader

DIRECTV; Portland (OR); Remote; USD 150,000 - 240,000; Full time

Job summary

DIRECTV is seeking a Principal AI Architect to define, design, and evolve enterprise-grade Generative AI architectures. You will lead hands-on, architectural decision-making and govern AI initiatives across GenAI platforms and enterprise systems.

You will partner with product and business teams to translate problems into AI-driven solutions, establish reusable patterns, and ensure scalable, secure, and future-proof implementations across the organization.

Qualifications

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

Responsibilities

• Serve as a technical authority for Generative AI and AI-driven architecture across the enterprise, providing hands-on architectural leadership as an individual contributor.
• Drive GenAI strategy and solution design, identifying, evaluating, and applying emerging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, prompt engineering frameworks, and model orchestration platforms.
• Architect and govern Model Context Protocol (MCP) implementations, defining how context, memory, tools, policies, and guardrails are structured, versioned, and securely shared across AI workflows.
• Design and lead multi-agent and agent-to-agent orchestration architectures, enabling autonomous task decomposition, collaboration, escalation, and decision-making across AI agents and enterprise systems.
• Define orchestration strategies coordinating LLMs, agents, tools, workflows, and downstream systems, balancing performance, cost, reliability, observability, and maintainability.
• Partner with business and product stakeholders to translate business problems into AI-driven solutions, articulate technology value propositions, and support business-case development with measurable outcomes.
• Lead architectural discovery and design workshops, aligning AI capabilities with DIRECTV’s strategic goals and guiding teams toward practical, scalable implementations.
• Establish reusable AI architecture patterns, reference architectures, and best practices that accelerate adoption while ensuring consistency, governance, and risk management.
• Ensure architectural flexibility and future-proofing through modular, abstracted designs that support evolving models, vendors, and regulatory requirements.
• Influence enterprise standards for AI architecture, modeling practices, design principles, security, data governance, and responsible AI usage.
• Provide architectural guidance to delivery teams, reviewing designs, validating implementation approaches, and ensuring adherence to enterprise and AI-specific standards
• Job Contribution: This role delivers expert-level individual technical leadership, shaping DIRECTV’s Generative AI and enterprise architecture strategy through deep hands-on expertise, architectural decision-making, and thought leadership.

Skills

GenAI architecture

LLMs

RAG

Agent orchestration

Multi-agent systems

Security & governance

AI platform design

Vector stores

Orchestration platforms

Education

Bachelor's degree in Computer Science/Engineering

Tools

Salesforce

MuleSoft

Genesys

Job description

DIRECTV is seeking a Principal AI Architect to define, design, and evolve enterprise-grade Generative AI architectures. You will lead hands-on, architectural decision-making and govern AI initiatives across GenAI platforms and enterprise systems.

You will partner with product and business teams to translate problems into AI-driven solutions, establish reusable patterns, and ensure scalable, secure, and future-proof implementations across the organization.