Job Description - Fractional, AI Delivery Engine Leader
Description
This is a fractional role with an hourly rate, ideal for an experienced leader who wants to bring their expertise, network, and executive presence to a growing team.
The Company
At Servant, we specialize in empowering leaders and organizations within faith communities through innovative digital transformation and change management solutions. We are dedicated to providing tailored strategies that align with our clients' values and missions, focusing on service, integrity, and excellence. Our team is passionate about driving impactful change by equipping our partners with the tools and technologies they need to thrive in a digital age.
Position Overview
Servant is seeking an experienced AI Delivery Engine Leader to design and build the next generation of our delivery organization. This leader will architect an AI-first operating model that transforms how ideas move from strategy to production—leveraging AI agents, automation, orchestration, and modern software delivery patterns to dramatically increase speed, quality, and scalability.
The vision is to create a highly automated delivery engine capable of taking ideas from concept through implementation with minimal human intervention where appropriate. While a fully autonomous ("dark factory") model remains an aspirational future state, this role will establish the practical AI factory model that allows small, highly capable teams to deliver work that traditionally required significantly larger organizations.
This individual will work directly with executive leadership to define the architecture, operating model, tooling ecosystem, governance, and implementation roadmap required to modernize Servant's delivery capabilities. They will bridge strategy and execution, bringing deep technical expertise while helping the organization adopt practical AI-enabled ways of working.
Key Responsibilities
Design the AI Delivery Engine
Architect Servant's AI-first delivery operating model from strategy through implementation and ongoing support.
Define the workflows, orchestration patterns, automation, and governance required to create a highly efficient AI-enabled delivery organization.
Develop repeatable delivery frameworks that leverage AI agents throughout the software development lifecycle.
Create scalable processes that reduce manual effort while maintaining quality, security, and reliability.
Build the AI Factory
Design and implement an AI "factory" capable of moving ideas from concept to production through integrated AI workflows.
Identify where humans remain essential versus where AI can own or significantly accelerate execution.
Evaluate opportunities to automate planning, requirements generation, architecture, coding, testing, documentation, deployment, monitoring, and support.
Establish delivery patterns that enable smaller, highly effective project teams without compromising outcomes.
Drive Technical Transformation
Evaluate emerging AI platforms, agent frameworks, orchestration tools, and delivery technologies.
Recommend and implement the tooling ecosystem required to support an AI-first organization.
Partner with engineering, product, strategy, and delivery leaders to modernize existing processes.
Bring external perspective from organizations that have successfully implemented AI-enabled delivery models.
Lead Organizational Change
Assess current delivery processes and identify opportunities to simplify, automate, or eliminate unnecessary work.
Help define new roles, responsibilities, and operating rhythms within an AI-enabled organization.
Guide leaders through organizational change while balancing innovation with practical execution.
Establish metrics to measure speed, quality, utilization, automation, and delivery effectiveness.
Serve as an Executive Partner
Act as a trusted advisor to executive leadership on AI strategy and delivery transformation.
Translate emerging AI capabilities into practical business value.
Build a phased roadmap toward increasingly autonomous delivery capabilities.
Help shape Servant's long-term vision for AI-enabled consulting and software development.
Requirements
Ideal Experience
We're looking for someone who has helped build AI-enabled delivery organizations—not simply experimented with AI tools.
The ideal candidate has:
Deep technical experience in AI systems, LLMs, agent frameworks, orchestration platforms, and modern software architecture.
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