Director of Solution Delivery

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Here at Rehrig Pacific, we are all about our people. Since 1913, our organization has focused on sustainable supply chain solutions while creating a culture and atmosphere where amazing people, like you, are celebrated for doing their best work. Rehrig Pacific has grown to meet the needs of our industry consumers across the country and internationally. We are constantly creating innovative solutions to transcend the new standards set forth by our customers.

We find true fulfillment in helping others, both within the Rehrig Pacific family and in our communities. As servant leaders, we lead by example.

Purpose of the Role: The Director of Solutions Delivery leads the agentic development team that builds rapid prototypes, refines the AI-augmented Development Lifecycle (AI-DLC), and takes successful prototypes to MVP — or hands them cleanly to IT Operations when an existing platform is the right destination. This role is the engineering engine of Digital Innovation. It partners with the Director of Digital Innovation on what to build and why, with the Director of Cybersecurity on how to build it safely, and with the Senior Director of IT Operations on how to hand off what’s built.

The Director also continuously refines the AI-DLC itself — the playbook, tooling, guardrails, and engineering practices that allow a small team to deliver disproportionate output through AI-augmented development. The ideal candidate is a hands‑on technologist with credible depth in modern software engineering, AI/agentic development, and rapid prototyping, and the leadership skills to grow and operate a small high‑performing team.

Functional Accountabilities

• Rapid Prototyping & MVP Development
• Lead the agentic development team in turning Solutions Design outputs into working prototypes, then refining the successful ones into MVPs ready for business adoption or operational handover.
• Maintain a delivery cadence aggressive enough to test ideas in the business quickly, and disciplined enough that the surviving ones are well‑engineered.
• Own the criteria for advancing a prototype to MVP, retiring an idea, or routing a need to an existing platform — in partnership with the Director of Digital Innovation and the requesting business.
• AI‑DLC — The Engineering Practice
• Continuously refine the AI‑augmented Development Lifecycle (AI‑DLC): the playbook, tooling, prompts, guardrails, code‑review practices, and quality gates that govern how the team builds with AI.
• Establish engineering standards for the team — testing, security review, secrets management, observability, and documentation — that scale across both prototypes and MVPs.
• Drive the productivity flywheel: each cycle of the AI‑DLC should leave the team measurably faster and the work measurably higher quality.
• Partner with the Senior Director of IT Operations on the handover of MVPs to run/scale — including documentation, operational tooling, monitoring, and the transition of accountability.
• Where an existing IT Operations platform is the right destination for a delivered capability, package the work for integration rather than continued ownership by Solutions Delivery.
• Maintain a clear inventory of what Solutions Delivery has built, where each piece lives, and who owns it post-handover.
• Security, Safety, and Responsible AI in Development
• Partner with the Director of Cybersecurity to ensure every prototype and MVP is built with appropriate security and AI‑safety guardrails — from secure handling of credentials and data through to the responsible deployment of agentic systems with circuit breakers and human‑in‑the‑loop controls.
• Maintain the team’s practice for evaluating AI models and agent platforms, including the security and risk implications of new tools entering the development environment.
• Manage the developer tooling, AI platform, and model provider relationships required for the team to operate — in coordination with the VP and the Director…