
Senior AI Solution Architect
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Job overview
Staples is seeking a hands-on technical leader to identify and deliver AI-enabled solutions for Marketplace operational and commercial challenges. The role works with business, product, technology, and data teams to shape ambiguous problems, build and validate prototypes, and transition successful solutions toward production. It also drives adoption and measurement of business outcomes, coordinates concurrent initiatives, and mentors team members. The role may be based at the Framingham headquarters or performed fully remotely with travel as needed.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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 is preferred to work out of our Framingham, MA HQ facility but we are open to 100% remote work with travel as needed.
What you’ll be doing:
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Embed within Marketplace operations, product, and commercial teams to understand end-to-end workflows, undocumented processes, edge cases, and operational nuances.
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Identify, define, and prioritize AI and automation opportunities based on business impact, scalability, and feasibility.
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Translate ambiguous business problems into structured technical approaches, solution hypotheses, and build plans.
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Develop and deploy rapid prototypes or proof of concepts using internal platforms, enterprise data, and modern AI/ML and large language model tooling.
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Validate solutions using real-world data and workflows to demonstrate measurable business value.
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Partner with Technology and Data/AI teams to transition validated prototypes into scalable, production-ready solutions.
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Serve as a critical bridge between business stakeholders and technical teams, ensuring clarity of requirements and continuity of context.
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Drive adoption of deployed solutions by staying engaged through rollout, iteration, and performance measurement.
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Establish and track success metrics tied to business outcomes such as efficiency gains, cost reduction, revenue impact, and user adoption.
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Contribute reusable learnings, frameworks, and enhancements to enterprise platforms based on field insights.
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Lead or coordinate multiple concurrent, high-impact initiatives with cross-functional stakeholders.
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Mentor less experienced team members and contribute to capability building within the forward-deployed function.
What you bring to the table:
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Strong problem-framing and critical-thinking skills, especially in ambiguous environments where the path forward is not predefined.
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A builder mindset with the curiosity and ownership to move from problem discovery to working solution quickly.
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Ability to connect technical solutions to clear business outcomes and communicate impact in practical terms.
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Effective stakeholder engagement across technical and non-technical audiences.
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Adaptability and comfort operating in rapidly evolving technology and business environments.
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Collaborative approach with the ability to influence without direct authority.
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Clear, concise communication skills across all organizational levels, including senior leadership.
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Business acumen and judgment to balance value, feasibility, scalability, and adoption.
What’s needed- Basic Qualifications:
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Bachelor’s degree in Computer Science, Engineering, Data Science, a related technical field, or equivalent work experience.
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10+ years of overall experience in software engineering or technical solution development.
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Experience building and deploying AI, machine learning, automation, or data-driven solutions in a business or enterprise environment.
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Experience writing code and delivering working prototypes using modern programming languages such as Python, Java, or similar.
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Experience translating business requirements into technical solutions in partnership with business stakeholders.
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Experience delivering solutions from concept through prototype validation.
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Experience integrating or working with structured and unstructured data sources.
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Experience managing multiple complex projects or initiatives simultaneously.
What’s needed- Preferred Qualifications:
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Master’s degree or advanced technical training.
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Experience in eCommerce, marketplaces, retail, or adjacent industries.
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Experience implementing AI or automation solutions within large, matrixed enterprise environments.
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Familiarity with enterprise data platforms, cloud environments, and modern AI/LLM tooling ecosystems.
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Experience working at the intersection of business units and centralized technology or data organizations.
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Experience contributing to or enhancing reusable platforms, frameworks, or internal tools.
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Prior experience in a forward-deployed engineering, solutions engineering, or similar business-embedded technical role.
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Experience quantifying and communicating the business impact of technical solutions.
We Offer:
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Inclusive culture with associate-led Business Resource Groups
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22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
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Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!
The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.
Staples is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
For individuals with disabilities that need additional assistance at any point in the process, please call 1-888-490-4747 for more information.
How this job compares
Set against the 8,288 open Software Engineering jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This postingNot listed
- Massachusetts median$144–230K/yr187 salary ranges
- US median$30–45/hr455 hourly ranges
- Openings
- Olive Jobs lists 229 open Software Engineering jobs in Massachusetts and 8,288 across the US. 10% of them nationwide are listed as remote or flexible.
- Hiring the most in Massachusetts
- State Street14 open
- Oracle11 open
- Amazon9 open
- Experience
- This posting asks for at least 10 years of experience; Software Engineering postings that state a minimum ask for 7 years at the median (6,490 postings).
- Education
- 2,240 of the 8,288 open Software Engineering jobs (27%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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