AI Engineer at Aspen Skiing Company

Denver, Colorado, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

140000.0

Posted On

13 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI, Machine Learning, Data Engineering, SQL, Azure, APIs, Automation, Cloud Computing, Software Development, Data Pipelines, Prompt Engineering, Model Integration, Security, Collaboration, Problem Solving

Industry

Hospitality

Description

Company Description ABOUT ASPEN ONE Aspen One renews the mind, body, and spirit with a portfolio that redefines luxury, adventure, and leisure. With world-class and innovative brands and businesses, including Aspen Skiing Company, Aspen Hospitality, and Aspen Ventures, Aspen One propels the expansion of the Aspen ethos globally. Whether it's Aspen Skiing Company providing unforgettable experiences at the confluence of nature, culture, and recreation across its four legendary mountains—Aspen Mountain, Snowmass, Aspen Highlands, and Buttermilk; or Aspen Hospitality elevating guest experiences in unforgettable ways by developing, owning, and operating a growing set of luxury and upper-scale hotels, private clubs, and branded residential properties in prime locations under The Nell and Limelight brands; Aspen One is deeply committed to providing unparalleled service, creative programming, community engagement, and unique opportunities for exploration. The company’s commitment to innovation is central to its evolution, including Aspen Ventures' amplification of the Aspen brand globally through new business lines that embody its values and heritage such as Aspen Collection. For more than 75 years, the Aspen brand and community has pointed its compass toward new paths, people, and possibilities—and today, as Aspen One, the future is limitless. The company is a leader in sustainability and advocacy, with a legacy of modeling leading-edge solutions and changing policy locally and globally. As a collection of brands driven by tightly held core values, Aspen One aims to inspire a better world. For more information, visit www.aspen.com. Please note that all official communications from the Talent Acquisition or Human Resources team are sent from email addresses within the [email protected], aspen.com, aspensnowmass.com, aspenhospitality.co, limelighthotels.com & thelittlenell.com domains. Job Description Position Summary The AI Engineer designs, builds, and deploys production-grade AI solutions that drive measurable business value across Aspen One. This role is responsible for translating business needs into working AI systems which includes integrating large language models, building intelligent agents and automated workflows, connecting enterprise data sources, and standing up the reusable platform infrastructure that allows AI capabilities to scale across the organization. The AI Engineer partners closely with the Sr. Director Data and Digital Technology, the AI Program Manager, IT Systems, Digital teams, and Cybersecurity to deliver AI-powered solutions while simultaneously building the technical foundation that makes future projects faster, more secure, and more supportable. This position reports to the Senior Director, Data & Digital Technology. The salary range for this position is $103,000 - $140,000. Actual pay will be dependent on budget and experience; all our salaried roles are eligible for bonus. Applications for this position will be accepted until May 18, 2026. Essential Job Functions / Key Job Responsibilities AI Solution Development Design, build, and deploy AI-powered solutions using large language models, AI agents, and automation workflows, and other software development tools that address real business problems across Aspen One’s operations and business units,, guest experience, and corporate functions Develop and maintain integrations between AI models (e.g., Azure OpenAI, Anthropic Claude) and enterprise systems, APIs, databases, and business workflows Build retrieval-augmented generation (RAG) systems, prompt engineering frameworks, and agent architectures that connect AI to proprietary data sources for accurate, grounded responses Develop and extend solutions within Microsoft Copilot Studio, Power Platform, and other low-code/no-code AI tools where appropriate, while building custom solutions on platforms such as Azure AI Studio when platform limitations require it Build AI solutions across the full platform spectrum, choosing the right platform for the job. This includes low-code tools like Microsoft Copilot Studio and Power Platform for rapid business automation, to custom-built applications using Azure, OpenAI, Azure AI Studio, Azure Functions, and frameworks like Semantic Kernel or LangChain. Own the full development lifecycle for AI software development projects: requirements analysis, solution design, development, testing, deployment, and post-launch monitoring and iteration Platform & Infrastructure Build and maintain reusable platform components that make future AI projects faster and more consistent, including model orchestration layers, shared prompt libraries, authentication and access control patterns, and deployment templates Establish and manage the AI software development lifecycle (SDLC): development, testing, staging, and production environments with appropriate version control, CI/CD, and release processes Implement monitoring, logging, and quality assurance frameworks for AI solutions in production, including tracking for model performance, drift, usage patterns, and error rates Support model selection and orchestration decisions, evaluating different AI models and services for specific use cases based on capability, cost, latency, and data handling requirements Partner with Cybersecurity and IT to ensure AI platform components meet security, identity, and access control requirements, including data classification and governance standards Data Readiness & Engineering Connect enterprise data sources to AI systems, including databases, data warehouses, APIs, and document repositories, ensuring data is structured and accessible for AI consumption In partnership with the data engineering team, design and build data pipelines that prepare, transform, and deliver data to AI models, with particular focus on customer data domains and operational systems Work with data owners and IT teams to identify data quality issues, define data requirements for AI projects, and implement data access patterns that are secure, efficient, and repeatable Technical Partnership & Collaboration Partner with the AI Program Manager on technical scoping, feasibility assessments, effort estimates, and solution design for AI projects across the portfolio Collaborate with IT Systems, Digital teams, and business stakeholders to understand requirements, design solutions that integrate with existing workflows, and support user acceptance and adoption Contribute to security and governance reviews in partnership with Cybersecurity, including evaluating AI vendors and platforms for data handling practices, risk posture, and compliance requirements Provide technical guidance and support to teams exploring AI tools and solutions, including Copilot Studio users, business-led automation efforts, and the broader AI community of practice Other duties as assigned Qualifications Education & Experience Requirements Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field Three or more years of experience in software engineering, AI/ML development, data engineering, or a related technical role, with demonstrated experience shipping solutions to production One or more years of hands-on experience building with AI or machine learning technologies, including LLMs, AI agents, automation workflows, or applied ML systems Knowledge, Skills & Abilities Demonstrated experience deploying AI or software solutions in a production environment, beyond notebooks, prototypes, and academic projects Experience working in or closely with enterprise IT environments, including Microsoft/Azure ecosystems, preferred Strong proficiency in Python, with experience writing clean, maintainable, production-quality code Hands-on experience with LLM APIs and AI services (e.g., Azure OpenAI, Anthropic Claude, OpenAI) including prompt engineering, function/tool calling, and model integration patterns Working knowledge of AI application frameworks such as LangChain, Semantic Kernel, or similar tools for building LLM-powered applications and agent workflows Experience with data engineering fundamentals: SQL, data pipelines, ETL processes, and working with relational databases, data warehouses, or cloud data platforms Familiarity with cloud platforms and services, particularly Microsoft Azure (Azure AI, Azure Functions, Azure DevOps), with the ability to architect, deploy, and manage cloud-based AI workloads Working knowledge of REST APIs, Git, CI/CD practices, and software development lifecycle fundamentals Experience with or willingness to learn Copilot Studio for low-code AI development and business process automation Understanding of retrieval-augmented generation (RAG), vector databases, embeddings, and semantic search patterns Strong problem-solving mindset with the ability to independently evaluate technical options, make pragmatic decisions, and move quickly from concept to working solution Ability to communicate technical concepts clearly to non-technical stakeholders and collaborate effectively with business teams, project managers, and IT partners Comfort with ambiguity and an entrepreneurial mindset. This is a build-from-scratch role where tools, patterns, and processes will evolve as the program matures Working knowledge of data privacy principles, enterprise data classification standards, and how these apply to AI model inputs, training data, and outputs Awareness of AI-specific security risks (e.g., prompt injection, data leakage through model outputs, pipeline integrity) and data privacy regulations applicable to the business (e.g., CCPA, state privacy laws), with an understanding of how these constrain AI system design, particularly regarding customer data use in model inputs and output. Ability to stay current with the rapidly evolving AI landscape for new models, tools, frameworks, and best practices. Bring informed recommendations to the Head of AI on opportunities to improve platform capabilities and project delivery Additional Information Work Environment & Physical Demands • Ability to stand, type and sit at desk/computer for most of the work shift executing repetitive movements • No adverse or hazardous conditions • Not required, but preferred to be able to occasionally lift, push or pull 25 lbs. individually or with assistance Job Benefits This position is classified as a regular full-time position eligible for the following benefits: Enrollment dates differ across the various programs. • Health, Dental and Vision Insurance Programs • Flexible Spending Account Programs • Life Insurance Programs • Paid Time Off Programs • Paid Leave Programs • 401(k) Savings Plan • Employee Ski Pass and Dependent Ski Passes • Other company perks The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. By accepting a position with Aspen One, Aspen Snowmass, Aspen Ventures or Aspen Hospitality you acknowledge that you are able to perform the essential functions of the job with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. To request accommodation during the application and interviewing process, please contact Human Resources at 970-300-7700. This job description is designed to indicate the general nature and level of work. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications required of employees assigned to this job. Duties and responsibilities may change at any time with or without notice. Aspen One is an equal opportunity employer (Minority/Female/Disabled/Veteran). At Aspen One, inclusion, equity, and diversity are fundamental to fulfilling our vision of building a better workplace and better world. From our hiring practices through the entire employee experience, we embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to the workplace. We encourage diverse points of view which allows us to develop innovative solutions to the ever-evolving world of work. Aspen One strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront of helping us promote and sustain an inclusive workplace that works for all. For an overview of Aspen One Company's benefits and other compensation visit www.aspensnowmass.com/employment/benefits-and-perks Aspen One participates in E-Verify. E-Verify & Right to Work Poster Job Location: Aspen/Denver Job category: AO Corporate Services Season: Year Round Job Classification: Full-Time Regular Compensation: USD 103000 - USD 144000 - yearly

Responsibilities

The AI Engineer designs, builds, and deploys AI solutions that drive business value across Aspen One. This includes integrating large language models, building intelligent agents, and establishing reusable platform infrastructure.