Job Description:

PCS is in the middle of an AI transformation. Our technology team is growing 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.

Job Responsibilities:

• 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.

Who You Are:

• 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 (NetSuite 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 handholding.
• 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.

Nice to have:

• Experience with MCP (Model Context Protocol), agent orchestration frameworks, RAG pipelines, or eval-driven AI development.
• Background in supply chain, wireless, distribution, refurb, or reverse-logistics workflows.
• Exposure to NetSuite, SQL, Power BI, Jira, Confluence.
• Have built and rolled out internal AI tooling that was actually adopted (not just demoed).

We Are Seeking People Who:

• Act like owners.
• Are continually raising the bar.
• Are sincerely open-minded and willing to examine their strongest convictions with humility.
• Nurture and embrace differing perspectives to make better decisions.

What's in it for You:

• Competitive salary and performance-based incentives.
• Opportunities for professional growth and development.
• A supportive and collaborative work environment.
• Comprehensive benefits package.

In alignment with pay transparency requirements, the salary range for this role is $100,000 to $150,000 annually. Final compensation may vary based on factors such as experience and qualifications. PCS Wireless offers a robust benefits package designed to support the health, well-being, and financial security of our employees. Specific offerings may vary depending on role, start date, and employment type.