AI Solution Engineer

Marriott Vacations; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Marriott Vacations is seeking an AI Engineer to design, develop, and integrate AI-enabled software solutions across enterprise systems, including ERP integrations and intelligent automation. You will collaborate with product owners, architects, data and security teams to identify high-value AI use cases, build scalable patterns, and ensure responsible AI practices within the SDLC.

This role requires strong software engineering experience and practical knowledge of LLMs.

Qualifications

• Design, develop, and integrate AI-enabled software solutions across enterprise applications.
• Knowledge of large language models and AI patterns.
• Experience with ERP systems and enterprise integrations.
• Collaborate with product owners, architects, data, and security teams.
• Support responsible AI practices and SDLC processes.

Responsibilities

• Develop AI-enabled enterprise application solutions to improve automation and decision support.
• Integrate AI services with enterprise platforms, APIs, and tools.
• Identify AI use cases with stakeholders and translate to design artifacts.
• Configure agentic workflows that interact with business systems and tools.
• Ensure security, governance, and responsible AI practices across projects.

Skills

AI engineering

Software development

LLMs

APIs

Security practices

ERP integrations

Education

Bachelor's degree

Job description

Generic Position Summary

As a member of the professional staff, contributes specialized knowledge and skill in artificial intelligence, software engineering, enterprise systems, and business process automation to support team, department, and organizational objectives. Works under limited supervision within established guidelines and technology standards, analyzing complex business and technical information to design, develop, and implement AI-enabled solutions that improve decision-making, increase operational efficiency, and enhance enterprise application capabilities.

Specific Job Summary

The AI Engineer supports the organization's adoption of artificial intelligence across technology and business processes. This position supports with designing, developing, and integrating, testing, documenting and maintaining AI-enabled software solutions, including large language model-based applications, agentic workflows, intelligent automation, decision-support capabilities, and AI integrations within enterprise applications.

The AI Engineer partners works with product owners, architects, software engineering teams, data teams, security teams, and enterprise application owners to identify high-value AI use cases and translate them into scalable, secure, and maintainable solutions. This role requires software engineering experience, practical knowledge of LLMs and AI application patterns, and the ability to incorporate AI capabilities into existing business systems and workflows. The incumbent will help evaluate AI technologies, design agent-based workflows, integrate AI services with enterprise platforms, support responsible AI practices, and contribute to the software development lifecycle. Prior experience working with ERP systems and complex enterprise integrations is preferred.

Specific Expected Contributions

• Develops, configures, tests, and supports AI-enabled enterprise application solutions that improve automation, decision support, operational efficiency, and user productivity.
• Collaborates in the development and integration of solutions using large language models, retrieval-augmented generation, agentic workflows, orchestration frameworks, AI services, APIs, and enterprise application platforms.
• Partners with product owners, architects, and technology teams to identify, evaluate, and prioritize AI use cases aligned with business value, risk, feasibility, and technology strategy.
• Translates business needs into functional, technical, and solution design documentation for AI-enabled applications and intelligent automation workflows.
• Configures and supports agentic workflows that can reason over enterprise information, interact with business systems, invoke tools, and support human-in-the-loop review where appropriate.
• Incorporates Model Context Protocol concepts, tool/function calling patterns, API integrations, and secure enterprise connectors into AI-enabled software solutions.
• Builds, enhances, and maintenance enterprise software components using object-oriented programming principles and modern application development practices.
• Applies application lifecycle management discipline, including source control, backlog/task management, CI/CD, automated testing, code reviews, release management, and production support practices.
• Works with enterprise application teams to integrate AI capabilities into ERP systems, financial systems, operational platforms, custom applications, and workflow automation solutions.
• Collaborates with data engineering and analytics teams to support AI solution patterns involving structured data, unstructured content, semantic search, knowledge retrieval, data pipelines, etc.
• Evaluates AI model behaviors, prompt design, grounding strategies, accuracy, explainability, latency, cost, security, and operational reliability.
• Develops and maintains reusable AI engineering patterns, application components, prompts, evaluation approaches, and technical standards.
• Supports responsible AI practices, including data privacy, security, access control, auditability, transparency, bias mitigation, and appropriate human oversight.
• Collaborates with cybersecurity, infrastructure, and architecture teams to ensure AI-enabled solutions comply with enterprise security, identity, data protection, and governance requirements.
• Troubleshoots and resolves complex issues involving AI application behavior, integrations, data quality, orchestration, application performance, and production incidents.
• Monitors AI-enabled solutions for quality, reliability, user adoption, cost efficiency, performance, and business impact.
• Shares technical knowledge, to software engineering teams adopting AI development patterns.
• Stays current with emerging AI technologies, model capabilities, agent frameworks, AI development tools, enterprise integration patterns, and industry best practices.
• Assists in special projects as required.
• Performs other duties as needed.

Education

B