Principal Agentic Software Engineer

arrivia•Scottsdale, AZ

About The Position

Define arrivia's multi-year vision for agentic engineering, and how we build, ship, and operate software at scale. As a Principal Agentic Software Engineer, you are our foremost technical authority on agentic software development, a product-minded, full-stack engineer who defines how AI coding agents reshape the way we build and operate software at scale. Operating with full autonomy and company-wide scope, you set the multi-year technical vision and the engineering standards teams follow. This role sets the technology direction behind arrivia, a leader in travel loyalty, membership, and cruise solutions, powering travel for millions of members. You will make the highest-stakes architectural decisions that determine our competitive trajectory, and you will be the driving force behind our agentic engineering strategy, evaluating frontier models, designing human-agent collaboration patterns, and evolving our engineering culture. You will partner directly with VP-level leadership to align technical strategy with business goals, represent arrivia's engineering externally, and serve as the final technical escalation point for our most complex challenges.

Requirements

12+ years of full-stack development and architectural experience, with a track record of company-wide technical leadership.
Expert-level proficiency using AI coding agents such as Claude Code, Cursor, or GitHub Copilot, with a track record of defining organizational adoption strategies.
Mastery of two or more of TypeScript/JavaScript, Python, or C#/.NET.
Deep expertise in modern web applications, RESTful API design, distributed systems, and microservices at scale.
A proven track record architecting enterprise-scale cloud-native solutions on AWS, Azure, or GCP, including multi-region and hybrid deployments.
Deep expertise in the Model Context Protocol (MCP), including enterprise MCP server architectures with secure, governed agent access.
Experience with containerization and orchestration (Docker, Kubernetes) and advanced CI/CD, including progressive delivery and feature flags.
A track record of developing engineering leaders and elevating an entire organization's technical capability.
Exceptional communication skills, translating complex technical concepts for executive, product, and business audiences.

Nice To Haves

An advanced degree is a plus, not a requirement. Demonstrated impact and depth of knowledge matter most.

Responsibilities

Define and own the multi-year technical vision and architecture for our travel platform, aligned with product and business strategy.
Set the direction for how AI coding agents are adopted, governed, and optimized across all engineering teams.
Make the highest-impact architecture and technology investment decisions, weighing scalability, reliability, security, cost, and speed with company-wide consequences.
Evolve prompt libraries, MCP server ecosystems, agent governance, and quality gates for AI-generated code that set the standard for the whole organization.
Define how AI agents securely interact with internal APIs, databases, infrastructure, and third-party services across the full lifecycle.
Assess frontier AI models and emerging frameworks, making build-vs-buy-vs-integrate recommendations that shape the roadmap.
Lead the most complex cross-cutting technical efforts across teams and domains, from concept through production.
Define migration paths and patterns that transform legacy systems into scalable, cloud-native, agent-ready services.
Establish SLO frameworks and operational excellence practices that protect the platform through rapid growth.
Define security architecture and partner with Risk, Security, and Compliance on AI governance and responsible-use policies.
Mentor senior and staff engineers and build the next generation of technical leadership.