AI Engineer
Denver, CO - USA
Job Summary
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 $103000 - $140000. 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 April 19 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 Ones 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
- Bachelors 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 .
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 Companys benefits and other compensation visit One participates in E-Verify.
E-Verify & Right to Work Poster
Remote Work :
No
Employment Type :
Full-time
Key Skills
About Company
Aspen One is the parent company of Aspen Skiing Company, Aspen Hospitality, and Aspen Ventures. Aspen One enables the expansion of the Aspen brand and ethos globally by developing enhanced strategies and services to support growth and accelerate investment across ski, hospitality, ret ... View more