Senior AI Solution Architect

StaplesECommerce marketplaces

Source API remote eligibility restrictions: United States; we are open to 100% remote workFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 10+ years of overall experience in software engineering or technical solution development.
Required Skills: Project ManagementPythonArtificial IntelligenceJavaMachine LearningLLM

Bachelor’s degree in Computer Science, Engineering, Data Science, a related technical field, or equivalent work experience.
10+ years of overall experience in software engineering or technical solution development.
Experience building and deploying AI, machine learning, automation, or data-driven solutions in a business or enterprise environment.
Experience writing code and delivering working prototypes using modern programming languages such as Python, Java, or similar.
Experience translating business requirements into technical solutions in partnership with business stakeholders.
Experience delivering solutions from concept through prototype validation.
Experience integrating or working with structured and unstructured data sources.
Experience managing multiple complex projects or initiatives simultaneously.
Strong problem-framing and critical-thinking skills in ambiguous environments.
Ability to connect technical solutions to business outcomes and communicate impact to technical and non-technical audiences.

Embed with Marketplace operations, product, and commercial teams to understand workflows, undocumented processes, edge cases, and operational nuances.
Identify, define, and prioritize AI and automation opportunities based on business impact, scalability, and feasibility.
Translate ambiguous business problems into structured technical approaches, solution hypotheses, and build plans.
Develop and deploy rapid prototypes or proof of concepts using internal platforms, enterprise data, and AI/ML and large language model tooling.
Validate solutions using real-world data and workflows to demonstrate business value.
Partner with Technology and Data/AI teams to transition validated prototypes into scalable, production-ready solutions.
Drive adoption through rollout, iteration, and performance measurement, and track metrics such as efficiency gains, cost reduction, revenue impact, and user adoption.
Lead or coordinate concurrent initiatives with cross-functional stakeholders, and contribute reusable learnings, frameworks, and enterprise platform enhancements.

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