AI Solution Engineer

Salary: $78,000 - 118,000 per year Requirements:

• Bachelors degree in Computer Science, Information Systems, or equivalent experience.
• At least seven years of relevant, progressive experience in software engineering, enterprise application development, systems integration, data engineering, automation, or a related technology field.
• Practical experience designing, developing, integrating, or supporting AI-enabled applications, LLM-based solutions, intelligent automation, or advanced decision-support systems.
• Experience with LLMs, prompt engineering, retrieval-augmented generation, embeddings, semantic search, tool or function calling, AI orchestration, or agentic workflows.
• Experience adding AI capabilities to enterprise applications, business workflows, operational processes, or internal productivity tools.
• Knowledge of object-oriented programming, software design principles, API development, application integration, and enterprise application architecture.
• Experience across the software development lifecycle, including requirements analysis, design, development, testing, deployment, monitoring, and production support.
• Familiarity with application lifecycle management practices such as source control, task management, CI/CD, automated testing, release management, and DevOps.
• Experience with SQL, relational databases, APIs, data integration, application interfaces, or similar tools for analyzing and implementing business rules and data-driven solutions.
• Strong understanding of AI application development patterns, secure integrations, and responsible AI principles, including privacy, security, access controls, auditability, and governance.
• Proficiency in object-oriented programming and modern software engineering practices, including API design, code reviews, automated testing, integration, and production support.
• Strong analytical, troubleshooting, communication, and problem-solving skills; ability to explain technical concepts, risks, and tradeoffs to technical and non-technical audiences.
• Ability to collaborate across business, engineering, architecture, data, security, and external provider teams; work independently; prioritize effectively; and adapt in a fast-paced environment.
• Preferred: experience with .NET/C#, Java, or Python; comparable enterprise development languages may also be considered.
• Preferred: experience with ERP, financial systems, enterprise platforms, or complex business applications; hospitality, timeshare, finance, accounting, or enterprise business solutions experience is also valued.
• Preferred: knowledge of cloud AI and application services such as Microsoft Azure AI services, Azure OpenAI, Azure AI Search, Microsoft Fabric, or comparable platforms.

• Develop, configure, test, document, maintain, and support AI-enabled enterprise applications that improve automation, decision-making, operational efficiency, and productivity.
• Build and integrate solutions using LLMs, retrieval-augmented generation, agentic workflows, orchestration frameworks, AI services, APIs, and enterprise platforms.
• Work with product owners, architects, and technology teams to identify, assess, and prioritize AI use cases based on business value, risk, feasibility, and strategy.
• Translate business needs into functional and technical requirements, solution designs, and documentation for AI applications and intelligent automation.
• Configure agentic workflows that use enterprise information, interact with business systems, invoke tools, and support human review where appropriate.
• Incorporate Model Context Protocol concepts, tool and function calling, APIs, and secure enterprise connectors into AI solutions.
• Build and maintain enterprise software components using object-oriented principles and modern development practices.
• Apply lifecycle management practices, including source control, backlog and task management, CI/CD, automated testing, code reviews, releases, and production support.
• Integrate AI capabilities with ERP, financial, operational, custom application, and workflow automation platforms.
• Collaborate with data and analytics teams on structured and unstructured data, semantic search, knowledge retrieval, data pipelines, and governed data sources.
• Evaluate model behavior and solution quality, including prompt design, grounding, accuracy, explainability, latency, cost, security, and reliability.
• Create reusable AI engineering patterns, software components, prompts, evaluation methods, and technical standards.
• Support responsible AI practices and partner with cybersecurity, infrastructure, and architecture teams to meet security, identity, data protection, and governance requirements.
• Troubleshoot complex AI application, integration, data quality, orchestration, performance, and production issues.
• Monitor solution quality, reliability, adoption, cost efficiency, performance, and business impact.
• Share technical knowledge and guidance with software engineering teams adopting AI development practices.
• Keep current with AI technologies, model capabilities, agent frameworks, development tools, enterprise integration patterns, and industry practices.
• Assist with special projects and perform other duties as needed.

• AI
• API
• Azure
• C#
• CI/CD
• Cloud
• DevOps
• ERP
• Fabric
• Support
• Java
• LLM
• Python
• SQL
• Security
• ASP.NET

More:

We are Marriott Vacations Worldwide, an equal opportunity employer committed to a diverse workforce and an inclusive culture. This professional staff role supports our adoption of AI across technology and business processes, contributing specialized expertise to organizational objectives while working with limited supervision and within established technology standards. The position partners with product, software engineering, data, security, architecture, and enterprise application teams to deliver secure, scalable, maintainable solutions. Employees are expected to work four days per week in the office and one day per week from home.

last updated 41 week of 2026