Manager, Consumer AI
Listed on 2026-08-20
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Software Development
AI Engineer (Applied/Software)
Manager, Consumer AI Solutions
The Manager, Consumer AI Solutions is responsible for designing, developing, and implementing AI-powered solutions that support customer experiences, marketing effectiveness, ecommerce growth, and operational efficiency. This role serves as the hands-on technical leader within the Consumer AI team, partnering with business, product, data, and technology stakeholders to transform AI opportunities into scalable solutions.
The Manager will lead the technical design, prototyping, development, testing, and optimization of AI-powered products, copilots, agents, automations, and intelligent workflows. This role combines AI solution architecture, software development, prompt engineering, and business partnership to accelerate AI adoption and deliver measurable business value. The position reports to the Director, Consumer AI and plays a critical role in establishing and scaling the organization's consumer AI capabilities.
The role is also responsible for overseeing and developing Consumer AI analytical resources, ensuring alignment between solution delivery, performance measurement, and business outcomes.
Essential Functions:
AI Solution Development and Delivery
- Design, develop, prototype, and deploy AI-powered applications, copilots, agents, and intelligent workflows
- Translate business requirements into technical AI solutions and implementation plans
- Develop prompts, agent instructions, workflows, APIs, and integrations that support consumer and employee experiences
- Build proof-of-concept solutions and rapidly test emerging AI use cases
- Partner with Technology teams to operationalize and scale successful AI solutions
Product Execution and Innovation
- Support the execution of the Consumer AI roadmap through hands-on solution development
- Evaluate AI use cases across customer engagement, marketing, personalization, ecommerce, and operational workflows
- Research emerging AI technologies, platforms, and industry best practices
- Recommend solution approaches, tools, and platforms to optimize business outcomes
- Contribute technical expertise throughout the AI product lifecycle
AI Architecture, Engineering, and Integration
- Design scalable AI solution architectures aligned with enterprise technology standards
- Develop and maintain integrations between AI solutions and enterprise systems
- Support implementation of retrieval-augmented generation (RAG), knowledge grounding, vector search, and agent-based architectures
- Collaborate with enterprise architects, engineers, and vendors on solution design and deployment
- Ensure solutions are secure, maintainable, and scalable
Stakeholder Partnership and Technical Enablement
- Collaborate with Product, Marketing, Ecommerce, Guest Experience, Technology, Data, and Digital teams
- Provide technical consultation on AI implementation approaches
- Support user adoption and successful implementation of AI-powered solutions
- Facilitate working sessions, demonstrations, and technical reviews
Performance Optimization and Governance Support
- Monitor solution performance, quality, adoption, and business outcomes
- Establish testing, evaluation, and validation frameworks for AI solutions
- Continuously optimize prompts, workflows, and user experiences
- Support responsible AI practices, governance standards, privacy requirements, and security controls
- Document technical solutions and operational procedures
Knowledge, Skills & Abilities:
- Scope:
This role serves as the primary hands-on technical AI resource within the Consumer AI organization. The Manager is responsible for converting AI strategies and business opportunities into functional solutions that can be deployed, scaled, and measured. Success is measured through technical execution, solution adoption, business impact, scalability, and delivery of AI-enabled capabilities. - Problem-solving:
Ability to solve complex technical and business challenges involving AI applications, prompt engineering, system integrations, automation, data access, and user experience design. Demonstrated capability to operate in ambiguity, evaluate emerging technologies, and rapidly translate concepts into working solutions. - Impact:
Directly influences the speed, quality,…
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