Remote Principal Agentic Software Engineer

Arrivia, Inc; Georgia; Hybrid; USD 190,000 - 240,000; Full time

Benefits offered by this job

Unlimited PTO

Exclusive employee travel rates

Travel discounts through arrivia

Medical, dental, and vision insurance

401(k) with company participation

Job summary

Arrivia, Inc is seeking a Remote Principal Agentic Software Engineer to set technical direction across multiple products and personally build core primitives. You will drive AI coding agent practices, define guardrails, and oversee scalable, cloud-native platform modernization while mentoring engineers and partnering with risk and compliance teams.

This role focuses on high-stakes architectural decisions, multi-region deployments, and enabling speed and trust for millions of travelers using

Qualifications

• Hands-on experience shipping production software in recent years.
• 10+ years of full-stack development and architecture experience.
• Bachelor's degree in CS or related field.
• Experience with AI coding agents and multi-step workflows.

Responsibilities

• Set technical direction across multiple products and platforms, including AI infra and data platforms.
• Drive engineering practices, prompt libraries, and guardrails for AI-generated code.
• Architect integrations and standardize patterns for scalable AI-powered systems.
• Lead one-way-door decisions and mentor engineers to raise the bar across teams.

Skills

Hands-on track record

Full-stack development

AI coding agents

RESTful API design

Cloud-native on AWS/Azure/GCP

Mentoring engineers

Technical leadership

Decision making

Education

Bachelor's degree in CS or related field

Tools

Docker

Kubernetes

Redis

Kafka

LangChain

GraphDB

Job description

Remote Principal Agentic Software Engineer

• Full-Time

Locations

Showing 1 location

Remote - Houston
Houston, TX, USA

Description

Set the standard for how arrivia builds with AI agents, and stay hands-on enough to build it yourself.

About the Role

As a Principal Agentic Software Engineer, you are a hands-on, product-minded, customer-focused full-stack engineer who sets technical direction across multiple products and platforms and personally builds the primitives other teams depend on. You still open the editor yourself, and you are a driving force behind how agentic development works at arrivia.

You do not advise from the sidelines. You direct AI coding agents through real, multi-step work, decide what becomes shared infrastructure, and make the build-vs-buy calls that shape our roadmap. Operating with broad autonomy and cross-organizational accountability, you own multiple domains or a critical platform.

Your work reaches millions of people. We build the travel and rewards platforms behind major banks, membership organizations, and travel brands, where members book real trips with real money and points, so trust is the product. The operating rhythms, launch gates, and quality standards you set let dependent teams move faster while protecting that trust.

You will balance short-term partner requests against long-term member trust, lead the one-way-door decisions in your areas, and define how AI coding agents reshape the way we build and operate at scale. You work across many technology domains, business teams, and offices in a fast-paced, highly collaborative environment.

What You'll Own

• Technical direction: Set direction across multiple products and platforms, including AI infrastructure, data platforms, and shared primitives, and personally build the components that increase leverage for teams beyond your own.
• Agentic engineering practice: Co-define our prompt libraries, MCP server patterns, quality gates for AI-generated code, and human-agent collaboration patterns, then get them adopted.
• MCP integrations: Architect Model Context Protocol integrations that give AI agents secure, governed access to internal APIs, data sources, and platform services across teams.
• Standards and simplification: Drive build-vs-buy decisions and convergence on strategic standards that reduce complexity rather than add to it.
• Operating rhythms: Institutionalize prioritization mechanisms, AI launch checklists, and SLOs that raise quality and speed for dependent teams.
• High-stakes decisions: Lead one-way-door decisions in your areas, minimize the chance of failure, and hold contingency plans for failure scenarios.
• ROI and focus: Guide teams on what is worth pursuing and what to kill, and define what success looks like for your domains.
• Data and evaluation culture: Standardize canonical metrics, AI eval frameworks, minimum sample sizes, and guardrail dashboards, and hold teams to them before anything scales.
• Responsible AI: Co-define responsible-AI guardrails and review processes so high-risk use cases get scrutiny and post-incident learnings feed back into design standards.
• Modernization: Turn legacy systems into scalable, cloud-native, agent-ready services through clear migration paths and architectural patterns.
• Trust and safety: Safeguard members' sensitive data by defining security patterns and partnering with our Risk, Security, and Compliance teams.
• People and norms: Mentor staff-level engineers and shape technical-leadership norms across individual contributors, so strong solutions emerge from teams and not from you alone.

What You'll Bring

You do not need every item below. We are excited by candidates with real strength across several of these areas.

• A recent, hands-on track record. You have personally built and shipped working software in the last year or two, not only led teams who did.
• 8 to 12 years of full-stack development and architecture experience building web applications and services, including technical leadership beyond a single team.
• A bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.
• Advanced, hands-on use of AI coding agents such as Claude Code, Cursor, or GitHub Copilot, including directing them through larger multi-step work, with a track record of building practices that others adopt.
• Deep experience with RESTful API design, distributed systems, and microservices at scale, and cloud-native delivery on AWS, Azure, or GCP including multi-region or hybrid deployments.
• Hands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and GraphDB.
• Production experience with real-time streaming and distributed messaging such as Redis, Kafka, or RabbitMQ, plus containerization and orchestration with Docker and Kubernetes, advanced CI/CD, infrastructure-as-code, and modern DevOps or SRE practices.
• A record of mentoring senior engineers and raising the bar through frameworks and standards, and of explaining complex AI and architectural ideas simply to executives and non-technical partners.
• Unlimited PTO
• Exclusive employee travel rates
• Travel discounts through arrivia programs
• Medical, dental, and vision insurance
• 401(k) with company participation

Who We Are

Why arrivia

At arrivia, we power travel loyalty and rewards programs for some of the world's leading brands. Our teams help millions of travelers book memorable experiences while delivering innovative technology and travel solutions to our partners. With a global workforce and a culture built on curiosity, ownership, authenticity, and collaboration, we're creating the future of travel.

Equal Opportunity Employer
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