Tempur Sealy is seeking an AI Engineer to identify and evaluate AI opportunities that align with business needs, assess potential ROI, and lead the implementation of these solutions across the organization to improve the sleep of more people.
Requirements
- Proven experience identifying, evaluating, and implementing AI solutions in a business environment.
- Strong understanding of AI/ML and their practical applications.
- Experience with data analysis, business case development, and ROI assessment for technology projects.
- Proficiency in relevant programming languages is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data engineering best practices.
- Commitment to ethical AI practices and data privacy.
- Continuous learner, staying updated on AI trends and best practices.
Responsibilities
- Research, evaluate, and recommend AI solutions that fit business requirements and strategic goals.
- Lead pilot projects and proof-of-concept studies to validate AI solutions before full-scale implementation.
- Oversee the integration of AI technologies into existing business processes, ensuring smooth adoption and measurable outcomes.
- Monitor and report on the performance of implemented AI solutions, making recommendations for optimization and scaling.
- Stay current with advancements in AI, machine learning, and data analytics, identifying emerging technologies that could benefit the organization.
- Ensure compliance with data privacy, security, and ethical standards in all AI projects.
- Communicate complex AI concepts and project results to non-technical stakeholders in clear, actionable terms.
Other
- Collaborate with business leaders and stakeholders to understand organizational challenges and identify areas where AI can create value.
- Analyze potential ROI and impact of proposed AI initiatives, preparing business cases and cost-benefit analyses.
- Foster a culture of innovation and continuous improvement around AI adoption within the organization.
- Excellent communication and presentation skills, with the ability to translate technical concepts into business value.
- Experience working with cross-functional teams and managing change in an organization.
