Staples Logo

Staples

Senior AI Solution Architect

Posted 6 Days Ago
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
Build and deploy AI-enabled solutions for Marketplace operations and commercial challenges. Identify opportunities, frame ambiguous business problems, develop prototypes using enterprise data and AI/LLM tools, validate business value, and transition successful solutions into production. Partner with business, product, technology, and data teams; drive adoption, measure outcomes, coordinate initiatives, mentor team members, and enhance reusable platforms and frameworks.
The summary above was generated by AI

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:

  • 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.
  • 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.

What’s needed- Preferred Qualifications: 

  • Master’s degree or advanced technical training.
  • Experience in eCommerce, marketplaces, retail, or adjacent industries.
  • Experience implementing AI or automation solutions within large, matrixed enterprise environments.
  • Familiarity with enterprise data platforms, cloud environments, and modern AI/LLM tooling ecosystems.
  • Experience working at the intersection of business units and centralized technology or data organizations.
  • Experience contributing to or enhancing reusable platforms, frameworks, or internal tools.
  • Prior experience in a forward-deployed engineering, solutions engineering, or similar business-embedded technical role.
  • Experience quantifying and communicating the business impact of technical solutions.

We Offer:

  • Inclusive culture with associate-led Business Resource Groups
  • 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
  • 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.

About UsStaples is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.
HQ

Staples Framingham, Massachusetts, USA Office

Framingham, MA, United States

Similar Jobs

Yesterday
In-Office or Remote
4 Locations
Senior level
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead enterprise solution architecture for AI-powered customer experience platforms. Own voice, networking, VDI, AWS, API, integration, RAG, and agentic AI architectures while guiding technical discovery, demonstrations, pilots, and value assessments. Partner with customers, sales, Product Management, Engineering, and Professional Services to deliver secure, scalable, resilient solutions. Influence product direction and enable solution consultants, partners, and account teams through reusable blueprints, training, workshops, and technical support.
Top Skills: A2AAWSBgpCgnatCursorEc2EmbeddingsEvent-Driven ArchitectureEventbridgeFirewallsKiroLambdaLlmsMachine LearningMcpMplsNatNlpNluOpenai CodexOspfQosRagRest ApisSd-WanSession Border ControllersSip TrunkingVdiWebhooksWebrtc
5 Days Ago
In-Office or Remote
134K-344K Annually
Senior level
134K-344K Annually
Senior level
Aerospace • Security • Cybersecurity • Industrial
Provides technical leadership for an Engineering Generative AI portfolio. Defines architectures, roadmaps, reusable patterns, and secure full-stack solutions spanning applications, APIs, services, data, AI models, and deployment pipelines. Guides prototypes into enterprise-ready systems, evaluates emerging technologies, embeds responsible AI governance, and designs human-centered agentic workflows. Partners across engineering, IT, data, cybersecurity, vendors, and leadership while mentoring technical teams.
Top Skills: Ai AgentsApi ManagementAPIsCi/CdCloud PlatformsContainersDevsecopsEvent-Driven SystemsGenerative AiInfrastructure As CodeLarge Language Models (Llms)Machine LearningModel-Based Systems Engineering (Mbse)PlmRetrieval-Augmented Generation (Rag)
10 Days Ago
In-Office or Remote
4 Locations
184K-357K Annually
Senior level
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design and deploy AI networking platforms in customer data centers. Partner with customers on GPU, compute, storage, and fabric architecture; support infrastructure bring-up; troubleshoot InfiniBand, RoCE, Linux, NIC, and switching issues; conduct technical reviews; build proof-of-concepts; and translate customer requirements into product and engineering feedback. Collaborate with systems engineering, product management, and sales while supporting large-scale AI cluster deployments.
Top Skills: BashBgpBluefield DpuCC++ClosCloud NetworkingContainersEcmpInfinibandKernel DriversL2/L3 SwitchingLeaf-Spine NetworkingLinuxNicsNvidia GpusOspfPythonRoceSpectrum-XSystem SoftwareVirtualization

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account