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Senior AI Solutions Architect

Job in Framingham, Middlesex County, Massachusetts, 01704, USA
Listing for: Staples Advantage Canada
Full Time position
Listed on 2026-08-17
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Staples is building the future of Marketplace through practical, AI-enabled solutions that help teams work smarter, move faster, and create measurable business impact. The Marketplace organization sits at the intersection of product, commercial strategy, operations, and technology - solving complex challenges that directly support growth, efficiency, and customer experience.

As the Senior AI Solution Architect, you will be a business-embedded technical leader responsible for identifying, shaping, and rapidly delivering AI-enabled solutions to high-value operational and commercial challenges. This is a hands-on builder role—not a traditional roadmap-bound engineering role and not a sales or demo function. You will work directly with Marketplace leaders, product managers, commercial teams, Technology, and Data/AI partners to uncover real-world inefficiencies, translate ambiguous problems into structured technical approaches, and develop working solution pathways that can be validated, scaled, and operationalized.

This role will require the incumbent to work on a 4-day/week on-site schedule from our Framingham corporate offices. We are open to candidates that are willing to relocate and have the ability to provide assistance.

What you’ll be doing :
  • Embed within Marketplace operations, product, and commercial teams to understand end-to-end 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 modern AI/ML and large language model tooling.
  • Validate solutions using real-world data and workflows to demonstrate measurable business value.
  • Partner with Technology and Data/AI teams to transition validated prototypes into scalable, production-ready solutions.
  • Serve as a critical bridge between business stakeholders and technical teams, ensuring clarity of requirements and continuity of context.
  • Drive adoption of deployed solutions by staying engaged through rollout, iteration, and performance measurement.
  • Establish and track success metrics tied to business outcomes such as efficiency gains, cost reduction, revenue impact, and user adoption.
  • Contribute reusable learnings, frameworks, and enhancements to enterprise platforms based on field insights.
  • Lead or coordinate multiple concurrent, high-impact initiatives with cross-functional stakeholders.
  • Mentor less experienced team members and contribute to capability building within the forward-deployed function.
What you bring to the table:
  • Strong problem-framing and critical-thinking skills, especially in ambiguous environments where the path forward is not predefined.
  • A builder mindset with the curiosity and ownership to move from problem discovery to working solution quickly.
  • Ability to connect technical solutions to clear business outcomes and communicate impact in practical terms.
  • Effective stakeholder engagement across technical and non-technical audiences.
  • Adaptability and comfort operating in rapidly evolving technology and business environments.
  • Collaborative approach with the ability to influence without direct authority.
  • Clear, concise communication skills across all organizational levels, including senior leadership.
  • Business acumen and judgment to balance value, feasibility, scalability, and adoption.
What’s needed

- Basic Qualifications:
  • 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.
  • Experien…
Position Requirements
10+ Years work experience
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