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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: www.mcfadyen.com

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.

1. 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, commercetools, Mirakl, Akeneo, Databricks), AI tools, custom software development, and business process transformation.
2. 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.
3. Collaborate with our delivery team to estimate staffing and timelines to create cost models.
4. 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.
5. 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.

• Design solution architectures on platforms like Adobe Commerce, SFCC, SAP Hybris, commercetools, 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 search, product recommendations, dynamic pricing, and fraud/anomaly detection.

1. 10+ years of experience in solution/technical architecture, with a strong focus on ecommerce or marketplace platforms, ideally in both B2B and B2C / retail.
2. Proven success as a sales engineer or similar sales-related role, promoting enterprise web technology - ideally ecommerce, marketplace, data management, content management, or similar solutions. Responsibilities should have included solutioning, effort/level-of-effort estimation, proposal and SOW development, and RFP/RFI response for enterprise clients.
3. Compelling communication and presentation skills honed by interacting with both business executives and technology teams at enterprise-scale organizations.
4. Deep expertise in at least one major commerce platform (Adobe Commerce, commercetools, Shopify, Mirakl, SFCC, SAP Hybris, or similar).
5. Proven, hands‑on experience designing and deploying AI/ML solutions (recommendation engines, NLP, generative AI, LLMs) in production environments.

• Demonstrated experience leading or driving an organization's AI strategy or innovation initiative.
• Strong understanding of API‑first, headless, and composable architectures, along with integration patterns (REST, GraphQL, event‑driven) and/or MACH approaches.
• Ability to travel, typically several days per month, within the USA.
• Track record of contributing to won deals through technical solutioning and estimation as part of a presales or pursuit team.
• Experience with data engineering or data architecture (data pipelines, data warehousing, data lakes) is a strong plus.
• Experience with Databricks a major plus.
• Familiarity with cloud AI/ML platforms (AWS SageMaker, Azure AI, Google Vertex AI, AWS Bedrock) and MLOps practices.
• Ability to plan for and answer technical questions on platform security.
• Experience in enterprise digital transformation programs.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Based in the United States, with the ability to collaborate across McFadyen's global teams (US, Brazil, India).

• A career with thought leaders who literally wrote the books on Ecommerce Best Practices, Marketplace Best Practices, and AI Best Practices.
• A career in the fast‑paced world of retail ecommerce, digital marketplaces, and platform businesses.
• A career with first‑movers who are deploying new business models and strategies worldwide.
• A career in a flat management structure without a rigid hierarchy and bureaucracy.
• A career in a culture that rewards creativity and innovation, risk‑taking, and teamwork.

Caring, Adaptable, Proactive, Empowering Clients

Solution Architect, AI Architect, Artificial Intelligence, Machine Learning, Generative AI, LLMs, ecommerce, Marketplace, Digital Transformation, Data Architecture, Presales, Solutioning, Estimation, remote job

Adobe Commerce (Magento), Salesforce Commerce Cloud (SFCC), SAP Hybris, Mirakl, ChannelAdvisor, commercetools, BigCommerce, Shopify Plus

CRM (Salesforce), PIM (Product Information Management), CPQ (Configure Price Quote), CMS (Content Management Systems), OMS (Order Management Systems), ERP (Enterprise Resource Planning), BI Tools (Business Intelligence), Cloud AI/ML Platforms (AWS, Azure, GCP), LLMs & Generative AI Frameworks

McFadyen's goal is to ensure that our clients are able to maximize the return on their technology investment by providing better service to their clients, partners and internal teams. At McFadyen we truly believe our employees are our most valuable asset. Across our locations in the US, Brazil and India, we offer a world class work culture that enables top notch delivery for some of the world's most influential companies.

McFadyen Digital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under federal, state or local law, where applicable.