Interested in this AI Software Engineer role at Choice Hotels?
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About This Role
\*\* This role is not eligible for sponsorship AND is four days onsite hybrid at our N. Scottsdale office \*\*
Who are we looking for?
Choice Hotels, one of the world’s largest lodging franchisors, has an exciting new opportunity as our Software Engineer 2 on our AI Operations \& Enablement team. The AI Operations \& Enablement team oversees our enterprise AI tooling platforms, gathers usage and cost metrics from everywhere AI is used across the organization, and builds custom AI tooling in the form of plugins and MCP servers. As a key member of our AI Operations \& Enablement team, you will help design and implement the infrastructure and processes that allow us to effectively govern and scale AI adoption across Choice Hotels.
Are you enthusiastic about working with cutting\-edge AI platforms and tooling? We invite you to apply today for our Software Engineer 2 role today and \#MakeItYourChoice.
Your Responsibilities
- Research new AI solutions and capabilities to evaluate for adoption within our Approved AI Tooling ecosystem
- Leverage our AWS services to create and manage infrastructure that supports our Approved AI Tooling
- Set up and maintain data feeds from a variety of sources to gather AI usage and cost metrics
- Partner with Enterprise Architecture to clear roadblocks to adopting and scaling our AI tooling
- Implement enforceable AI governance guardrails across the organization
- Support LLM lifecycle management and benchmarking
- Create and maintain documentation and enablement resources so teams can confidently adopt our AI tooling
Your Experience, Skills \& Competencies
- Bachelor’s degree in related field, or equivalent experience/training
- Experience with Claude, ChatGPT, M365 Copilot, Power Automate, or similar AI tools
- AWS experience
- Java, Python, and/or JavaScript
- Experience with Harness or another CI/CD platform
- Knowledge of the software development lifecycle (SDLC); experience with AI\-DLC a big plus
- Knowledge of Agile software development methodologies, Service Oriented Architecture, and object\-oriented programming methodologies
- Knowledge of software development best practices, including coding standards, code reviews, source control management, build processes, and testing
- Exceptional verbal, written and listening communication skills
- Exceptional interpersonal skills and demeanor
- Proficient in the use of MS Office suite, including familiarity with Visio
- Passion for leveraging AI to increase speed and capabilities, along with the desire and ability to learn quickly
- Demonstrates key competencies to include Cultivates Innovation, Nimble Learning and Drives Results
Your Team
This is an individual contributor role that will report to the AI Operations Manager. You will have 4 teammates and collaborate with cross functional departments on a regular basis.
\*\*\* PLEASE NOTE: This role is not eligible for sponsorship \*\*\*
Choice prioritizes our associate wellbeing by offering a comprehensive benefits program that is both competitive and flexible to help you achieve your wellbeing goals \- here are just a few:
- Competitive compensation and benefits, including medical, dental, and vision coverage
- Leave and paid time\-off for holidays, vacation, personal, family, volunteer, sick, jury duty, bereavement, military, and religious observance
- Financial benefits for retirement and health savings
- Employee recognition programs
- Discounts at Choice hotels worldwide
About Choice
Choice Hotels International, Inc. (NYSE: CHH), is one of the largest lodging franchisors in the world. With 7,500 hotels in 45\+ countries and territories, we offer a range of high\-quality lodging options in the upper upscale, upper midscale, midscale, extended stay, and economy segments. We’re the hotel company for those who choose to bet on themselves — the striver, the dreamer, the entrepreneur — because that’s who we are, too.
At Choice, we are united by the simple belief that tomorrow will be *even* better than today — for associates, our company, and our franchisees. At our worldwide corporate headquarters in North Bethesda, Maryland, at our technology center in Scottsdale, Arizona, and through our associates around the globe, every voice is heard and every idea is listened to, no matter what area of the company they come from. We are united in supporting the entrepreneurial dreams of our thousands of franchise owners, which propels us forward — giving our work at Choice a purpose larger than our business.
*Our corporate office locations:*
North Bethesda, MD — Located at Pike \& Rose, our worldwide headquarters is less than 15 miles from Washington, D.C., one block away from the North Bethesda Metro station, with easy access to I\-495, complimentary parking, electronic charging stations, restaurants and retail.
Scottsdale, AZ — Located at the northwest corner of Loop 101, the Scottsdale office is home to our technology, eCommerce and customer service organizations, with easy access to complimentary parking, electronic charging stations, restaurants and retail.
Minneapolis, MN — Select roles are based in our Minneapolis office on Highway 394, near the intersection with Highway 100, only five minutes from downtown.
Field/Remote — Select roles designated as field/remote will require associates to work from a home office, connecting virtually with Choice team members and leadership on Zoom, with possible required travel depending on the role.
Choice’s Cultural Values
Welcome and Respect Everyone \| Be Bold \| Be Quick \| Listen \| Be Curious \| Show Integrity
Choice’s Leadership Principles
Act with Intention \| Lead with Authenticity \| Grow \& Deliver
Role Details
About This Role
AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.
The challenge is building reliable systems around inherently unreliable components. Models are probabilistic. They'll give different answers to the same question. They hallucinate. They're slow. They're expensive. Your job is to build an application layer that handles all of this gracefully while delivering a product that users trust and enjoy.
Across the 4,317 AI roles we're tracking, AI Software Engineer positions make up 7% of the market. At Choice Hotels, this role fits into their broader AI and engineering organization.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
What the Work Looks Like
A typical week includes: building API endpoints that serve model inference with caching and fallback logic, designing the data pipeline that feeds context to a RAG system, implementing streaming responses in the frontend, debugging a race condition in the async inference pipeline, and optimizing database queries for the vector search layer. It's full-stack engineering with AI at the center.
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
Skills Required
Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.
Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.
Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
Compensation Benchmarks
AI Software Engineer roles pay a median of $218,500 based on 729 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Choice Hotels AI Hiring
Choice Hotels has 1 open AI role right now. They're hiring across AI Software Engineer. Based in Scottsdale, AZ, US.
Location Context
Across all AI roles, 15% (635 positions) offer remote work, while 3,657 require on-site attendance. Top AI hiring metros: New York (1,650 roles, $220,000 median); San Francisco (1,335 roles, $265,000 median); Los Angeles (708 roles, $214,112 median).
Career Path
Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.
From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.
If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.
What to Expect in Interviews
Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.
When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
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