Forward Deployed AI Engineer

About PCS Wireless

Founded in 2001, by two visionary traders, PCS Wireless, affectionately known as “PCS”, is not your average mobile distributor. Led by fearless entrepreneurs, PCS has completely transformed the landscape of the device resell market, both from a business and a consumer perspective.

Today, PCS is a recognized global leader, powering the secondary market. At PCS, we buy and sell mobile devices and products worldwide through partners and programs by breathing new life into old devices effectively extending the device lifecycle up to 5X and beyond. We collaborate with industry giants in consumer electronic manufacturing, wholesalers, big box retailers and small businesses alike, catering to a diverse clientele of more than 1,500 clients.

Our operations span major markets worldwide with offices and warehouses in the Americas, APAC, UK & EMEA.

Our go-getting spirit valuing flexibility, a “me for we” approach and curiosity, continues to be the foundation of our success. We are looking for doers and thinkers who get things done and have fun while doing it!

PCS is in the middle of an AI transformation. Our technology team is growing a roadmap of automation across Operations, Sales, Finance, and beyond. We’re hiring a Forward Deployed AI Engineer to drive that roadmap into production across every department. Reporting into Solutions & Delivery leadership, you’ll embed with Operations, Sales, Pricing, Finance, Commercial, and Engineering, running discovery, training teams to use AI in their day‑to‑day, and building and shipping the solutions yourself.

This is a high‑ownership execution role. The roadmap is set with leadership; you own delivery against it. Success is measured by production adoption of the agents and tools you ship, measurable workflow impact (hours saved, errors reduced, cycle time cut), and the number of PCS team members operating fluently with AI as part of their job.

• Embed with departments. Spend real time with Operations, Sales, Pricing, Finance, Commercial, and others. Shadow workflows, map manual processes, and translate them into clear technical scopes.
• Build and ship AI solutions end‑to‑end. Execute against the prioritized roadmap – scope, design, build, and deploy agents and integrations on top of our existing MCP, ERP, SQL, and Power BI stack. Prototype fast, harden for production, measure impact.
• Train and enable. Run hands‑on sessions to make every engineer, analyst, and operator capable of solving real problems with AI. Build internal playbooks, prompt libraries, and reusable patterns.
• Partner with department leaders. Be the trusted technical contact each department turns to when they want to apply AI to a workflow. Translate their input into well‑scoped deliverables that fit the broader roadmap.
• Follow established quality standards. Build agents that are evaluable, observable, and safe. Contribute to and reinforce the patterns the team has set for how AI is deployed at PCS.
• Close the loop. Feed learnings from deployed agents back to leadership and the platform team so the roadmap and underlying infrastructure keep improving.

• 4–7 years of software engineering experience, including hands‑on work with LLMs, AI agents, or generative AI in production (not just demos).
• Stakeholder‑facing instinct. You like sitting with non‑technical users, asking the right questions, and turning vague pain into shipped systems.
• Full‑stack builder. Comfortable writing production code, designing data pipelines, integrating with ERPs (Net Suite a plus), and standing up front‑end interfaces when needed.
• Strong execution. You consistently take a scoped initiative from intake through production adoption, on your own initiative, without needing hand holding.
• Teaching instinct. You enjoy explaining what you built, why it works, and how others can do the same.
• Bias to ship. You’d rather have something in production this week than a perfect plan next quarter.

• Experience with MCP (Model Context Protocol), agent orchestration frameworks, RAG pipelines, or eval‑driven AI development.
• Background in supply chain, wireless, distribution, refurb, or…