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Sales Solution Architect – AI-Enabled Ecommerce & Marketplaces

Job in Vienna, Fairfax County, Virginia, 22184, USA
Listing for: McFadyen Digital
Full Time position
Listed on 2026-09-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Ecommerce
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below

Company Overview

McFadyen Digital is a leading advisor and implementer of digital commerce and marketplace solutions with a growing AI practice. During three decades of ecommerce work, we’ve built hundreds of enterprise-scale platforms that cumulatively generate tens of billions of dollars of gross merchandise value (GMV). We’re honored to have helped over 10% of the Fortune 500 with their digital commerce initiatives. Over 250 global brands like ABB, AB InBev, ACCO, Albertsons, American Red Cross, American Eagle Outfitters, US Army, US Agriculture Dept, (and many more) have entrusted their digital transformations to McFadyen.

We operate global offices across the US, Brazil, and India. McFadyen Digital has been a trusted employer for 39 years and believes that people are the most important part of our company. We're proud of our Great Place to Work certification.

Learn more about us at our website:

The Opportunity

McFadyen Digital is looking for a Solution Architect to design the next generation of AI-powered ecommerce and marketplace platforms for our Fortune 500 clients — while also leading McFadyen's own internal AI initiatives. This is a rare dual mandate: you'll architect scalable commerce and marketplace solutions for our clients, and you'll set the vision and roadmap for how McFadyen adopts and operationalizes AI across the business.

If you love solving hard technical problems at the intersection of commerce, data, and artificial intelligence, this role is built for you.

Responsibilities Top 5 Responsibilities
  • Own technology solutioning for ecommerce and marketplace sales prospects. Lead sales discovery sessions to collect and document business requirements and translate them into technology solutions that integrate enterprise platforms (e.g. Adobe Commerce, commerce tools, Mirakl, Akeneo, Databricks), AI tools, custom software development, and business process transformation.
  • Craft compelling presentations, proposals, ROI/value statements, and demos that showcase a prospect’s ecommerce, marketplace, data, and/or AI needs. Collaborate with our sales and delivery organization to write the scope, assumptions, requirements, and technical aspects of SOWs.
  • Collaborate with our delivery team to estimate staffing and timelines to create cost models.
  • Serve as a technical advisor to existing clients and cross-sell additional services/solutions such as data management/optimization, AI enhancements, cross-channel expansion, and evolving partner solutions.
  • Evaluate and demonstrate emerging AI/ML technologies — including LLM extensions, generative AI, data enrichment, conversational interfaces, and agentic frameworks — to enhance both McFadyen's service offerings and internal demo/delivery capabilities.
  • Additional Responsibilities
    • Design solution architectures on platforms like Adobe Commerce, SFCC, SAP Hybris, commerce tools, and Mirakl, integrating AI/ML models and data pipelines.
    • Author thought leadership content for marketing and sales purposes.
    • Stay current on evolving offerings from our software partners and be ready to demonstrate them to prospects and clients.
    • Produce solution design documents, integration specifications, and architecture diagrams for both client and internal initiatives.
    • Partner with sales and pre-sales teams to develop proposals, RFP/RFI responses, SOWs, and proof-of-concepts, including effort/level-of-effort estimation and pricing input.
    • Guide engineering and delivery teams on AI implementation best practices, including MLOps and responsible AI governance.
    • Champion data strategy and data architecture practices (data pipelines, data lakes, analytics) that underpin AI initiatives.
    • Stay current on AI/ML advancements and proactively evaluate their applicability to commerce and marketplace use cases.
    • Enforce good processes for sales document preparation, management, and collaboration.
    • Mentor architects and engineers across the organization on AI adoption and modern commerce architecture.
    • Collaborate cross-functionally with product, engineering, and client stakeholders to keep McFadyen's AI roadmap aligned with business priorities.
    • Embed AI-driven capabilities such as personalization, intelligent…
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