Aspen One is a leader in sustainability and innovation, committed to redefining luxury, adventure, and leisure. The AI Engineer will design, build, and deploy AI solutions that drive business value, while collaborating with various teams to integrate AI capabilities across the organization.
Responsibilities :
• 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
• 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
• 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
• 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 :
Required :
• 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
• 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
Company :
Aspen One drives global growth in skiing, hospitality, retail, and experiences. Founded in , the company is headquartered in Aspen, USA, with a team of 1001-5000 employees. The company is currently Late Stage.