Director of Solution Delivery

Rehrig Pacific; Richardson (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Rehrig Pacific seeks a Director of Solutions Delivery to lead a small engineering team building rapid prototypes, refining the AI-augmented Development Lifecycle, and handing off MVPs to IT Operations when appropriate.

You will partner with Digital Innovation, Cybersecurity, and IT Operations to set engineering standards, govern security and AI safety, and drive disciplined delivery across prototypes and production. 10+ years in software engineering and prior leadership are required.

Qualifications

• Bachelor's degree in CS/Software Eng or related field.
• Master's degree would be a plus.
• Hands-on depth with modern software engineering practices including cloud-native development, CI/CD, automated testing, and observability.
• Familiarity with AI-augmented development tools and agentic systems.

Responsibilities

• Lead the agentic development team to turn designs into prototypes and MVPs.
• Refine the AI-DLC playbook, tooling, guardrails, and engineering practices.
• Handover MVPs to IT Operations with complete documentation and tooling.
• Ensure security and AI safety considerations in development.
• Manage developer tooling and model provider relationships.

Skills

Leadership

AI-augmented development

Cloud-native development

CI/CD

Observability

Security awareness

Communication

Travel flexibility

Education

Bachelor's degree in Computer Science or related field

Master's degree would be a plus

Job description

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 whats 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.

Handover & Productionization

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 teams practice for evaluating AI models and agent platforms, including the security and risk implications of new tools entering the development environment.

Vendor & Tooling Stewardship

Manage the developer tooling, AI platform, and model provider relationships required for the team to operate in coordination with the VP and the Director of Cybersecurity for the security and contractual review. Forecast and manage the Solutions Delivery operating budget, with particular attention to AI platform and model consumption costs and their ROI.

Leadership Accountabilities

Function Leadership

Provides technical direction and operating cadence for the Solutions Delivery team. Leads by example on engineering quality, AI fluency, and craft.

Cross-Functional Partnership

Maintains tight partnership with the Director of Digital Innovation on the design-to-build interface, with the Director of Cybersecurity on security and AI safety, and with the Senior Director of IT Operations on handover.

Team Development

Develops the agentic development team and its hiring pipeline. Builds and maintains a team culture that prizes both speed and quality, and that treats AI as a force multiplier rather than a substitute for engineering judgment.

Practice Evolution

Treats the AI-DLC itself as a product the team owns and improves. Maintains an explicit practice for evaluating new AI tools, models, and engineering patterns and folding the successful ones into the standard.

Operational Excellence

Drives discipline around prototype-to-MVP advancement criteria, handover quality, and post-delivery measurement.

Core Responsibilities: General

• Lives our Values
• Ensures Accountability
• Balances Stakeholders / Plans & Aligns
• Develops Talent
• A Culture of Innovation & Belonging

Qualifications:

• Bachelors Degree in Computer Science, Software Engineering, or a related field.
• A Masters Degree would be a plus.
• A minimum of 10 years of software engineering experience, with at least 3 years leading a development team.
• Hands-on depth with modern software engineering practices, including cloud-native development, CI/CD, automated testing, and observability.
• Hands-on, current familiarity with AI-augmented development tools and agentic systems sufficient to lead the teams use of them by example, not theory.
• Demonstrated experience building software in a rapid prototype-to-MVP environment, with comfort retiring ideas that dont work.
• Working understanding of security and AI safety considerations in software development.
• Strong organizational and leadership skills, with proven success in collaborative environments and outstanding communication and interpersonal abilities.
• Ability to travel approximately 1525% of the time.