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Travoom

Principal AI Architect – AskOle

Travoom

. Design and lead the architecture of a next-generation conversational AI platform replacing traditional search with intelligent dialogue .

Posted 10/9/2026full-timeRemote • Texas • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and delivering production-scale AI platforms, with a strong focus on Large Language Models, AI orchestration, and integration of complex third-party APIs. Proven leadership in mentoring engineering teams and establishing architectural standards for scalable, high-performance systems.

Highest-signal resume keywords
Large Language Models (LLMs)AI Orchestration FrameworksDistributed Cloud-Native SystemsThird-Party API IntegrationMentoring Engineering Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Architecting AI PlatformsSemantic SearchRetrieval-Augmented Generation (RAG)Recommendation EnginesRanking AlgorithmsConversational AIMulti-Agent SystemsTask Planning SystemsData RetrievalArchitectural Judgment
Soft Skills
Strong Communication SkillsCreative Problem SolverEntrepreneurial MindsetAbility to AdaptLeadership
Tools & Technologies
OpenAIAnthropicGeminiLangGraphLlamaIndexDSPyVector DatabasesGraph DatabasesModern AI InfrastructureReal-Time Data Sources
Industry Keywords
Conversational AIUser IntentEcosystem IntegrationScalabilityHigh AvailabilityLow LatencyAmbiguity ManagementInternational Sports Knowledge

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Design and lead the architecture of a next-generation conversational AI platform replacing traditional search with intelligent dialogue
  • Own systems that understand user intent, determine required information, retrieve data from multiple real-time providers, reason across competing options, and generate conversational responses leading from discovery to transaction
  • Architect the AI orchestration layer coordinating multiple large language models, specialized agents, retrieval systems, recommendation engines, and external APIs
  • Assemble and rank information from ticketing providers, hotels, airlines, restaurants, transportation services, mapping platforms, weather services, and other third-party data sources
  • Design systems for multi-step task planning, conversational context, tool execution, result ranking, and adaptation based on user feedback
  • Define technical vision and architectural standards
  • Evaluate emerging AI technologies
  • Mentor senior engineers, architects, and principal engineers
  • Make long-term decisions regarding LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks
  • Collaborate with Principal Architects for backend infrastructure, payments, blockchain, messaging, mini-programs, and platform services
  • Ensure seamless ecosystem integration with scalability, reliability, performance, and user experience

Requirements

What you’ll need
  • Proven experience architecting and delivering production-scale AI platforms used by large numbers of users
  • Demonstrated leadership as a Principal Engineer, Chief Architect, Distinguished Engineer, or equivalent senior technical role
  • Deep expertise in Large Language Models (LLMs), AI agents, multi-agent systems, Retrieval-Augmented Generation (RAG), semantic search, and modern AI orchestration frameworks
  • Strong understanding of recommendation engines, ranking algorithms, personalization, and conversational AI
  • Extensive experience designing distributed, cloud-native systems capable of operating at global scale with high availability and low latency
  • Hands-on experience integrating complex third-party APIs and building systems that combine multiple real-time data sources into a unified experience
  • Exceptional architectural judgment with the ability to simplify complex technical problems into scalable, maintainable solutions
  • Proven ability to lead senior engineering teams, mentor architects and principal engineers, establish engineering standards, and make long-term technical decisions
  • Strong communication skills with the ability to collaborate across engineering, product, and executive leadership
  • Entrepreneurial mindset and passion for building category-defining products
  • Track record of shipping ambitious, innovative products rather than simply maintaining existing platforms
  • Creative problem solver who can propose and support new ideas
  • Ability to adapt and work with a wide array of technologies
  • Comfortable with ambiguity, shifting priorities, and early-stage technology company growing pains
  • Exceptional entrepreneurial judgment that fosters independence over micro-management
  • Understanding of football and international sports is a huge plus
  • Experience with OpenAI, Anthropic, Gemini, open-source language models, LangGraph, LlamaIndex, DSPy, vector databases, graph databases, and modern AI infrastructure is highly desirable

Benefits

Comp & perks
  • Employees can work remotely
  • Opportunity to work on a global football super app combining social networking, messaging, live scores, short-form video, gambling, commerce, payments, translation, and mini programs
  • Opportunity to build category-defining products at a rapidly growing, privately held early-stage technology company