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AI Solutions Architect; US H&M

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Productos Familia S.A. (Essity Colombia)
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: AI Solutions Architect (US H&M)

AI Solutions Architect

About the Role

The AI Solutions Architect is responsible for identifying, designing, developing, and implementing AI-powered and automation-driven solutions that transform business processes and improve performance across the Health & Medical organization. This role combines deep technical expertise with commercial business acumen to transform business challenges into scalable digital solutions that create measurable value.

Working closely with business stakeholders, commercial operations teams, data and analytics professionals, and the global AI Center of Excellence, the AI Solutions Architect will develop innovative solutions that enhance productivity, improve decision-making, streamline processes, and unlock new capabilities across Commercial Operations, including Sales, Marketing, Customer Service, Contracts & Pricing, Strategic Accounts, and other business functions.

This position serves as a key technical leader for AI innovation within the U.S. Health & Medical business while ensuring solutions are designed with scalability, governance, and enterprise alignment in mind, enabling successful adoption across regions and business units where appropriate.

Aligned with the job family’s mission, this role enables effective business processes by providing trusted, high-quality information for decision-making and by promoting responsible, compliant, and value-driven use of data and AI.

The ideal candidate must be located in the Charlotte, NC area.

What Success Looks Like

Success in this role will be measured through:

  • - Design and implement AI-powered, agentic, generative AI, and automation-driven solutions that generate measurable business value.
  • - Improvements in productivity, efficiency, and decision-making across supported business functions.
  • - Successful adoption and utilization of deployed solutions.
  • - Creation of reusable capabilities that can be scaled across regions, business units, and markets.
  • - Alignment of local innovation initiatives with enterprise AI strategy and governance.
  • - Contribution to the advancement of AI capabilities and adoption within the Health & Medical organization.
  • - Reliability, traceability, and fit-for-purpose validation of AI, automation, and analytics outputs before business use.
  • - Effective decision enablement through clear, contextualized, and actionable insights, with appropriate human review and documented limitations.
What You Will Do Drive AI Innovation and Business Transformation
  • - Identify high-value opportunities to leverage artificial intelligence, automation, and advanced analytics to improve business outcomes and operational efficiency.
  • - Evaluate business processes and workflows to uncover opportunities for transformation, automation, and optimization.
  • - Translate complex business challenges into scalable technical solutions that deliver measurable value.
  • - Stay current on emerging technologies, AI capabilities, and industry trends to identify innovative applications within the business.
  • - Develop and lead training, enablement, and knowledge-sharing programs that build AI capabilities across the organization and empower teams to effectively adopt, support, and scale AI solutions.
Design and Deliver Scalable Solutions
  • - Design, develop, and implement AI-powered solutions, intelligent automation, and advanced analytics applications.
  • - Be accountable for ensuring AI, automation, and analytics outputs are fit for purpose before business use by defining and implementing appropriate validation, testing, monitoring, traceability, and human-review controls that address accuracy, reliability, reproducibility, and documented limitations.
  • - Build proof-of-concepts, prototypes, and production-ready solutions using modern AI, cloud, and automation…
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