DevOps - AI Practice Lead

Position: The AI Practice Lead is responsible for building, scaling, and operating F12’s AI services practice as a revenue-generating business unit.
This role blends strategy, customer engagement, productization, and commercial ownership, with accountability for:

Professional Services (PS) delivery

Managed services (MRR growth)

AI product resale strategy

R&D and innovation pipeline development

You will take emerging AI capabilities and turn them into repeatable, scalable offerings that drive customer value and recurring revenue.

Key Responsibilities
Practice Strategy & Commercial Ownership

Define and execute the AI practice strategy, including offerings, target markets, and growth roadmap

Build and manage a portfolio of AI services and solutions (advisory, implementation, managed, resale)

Establish pricing, packaging, and commercial models across PS and MRR

Own practice-level performance including revenue growth, margin, and profitability

Customer Engagement & Solutioning

Lead customer workshops, discovery sessions, and advisory engagements

Translate business challenges into scalable AI-driven solutions

Act as a trusted advisor on AI adoption, use cases, and ROI realization

Support sales efforts through pre-sales solutioning and proposal development

Professional Services (PS Offerings)

Design and deliver AI implementation engagements (POCs, pilots, deployments)

Build repeatable delivery frameworks and methodologies

Develop on-demand service offerings that are easy to scope, sell, and deliver

Ensure delivery quality and measurable business outcomes

MRR & Managed AI Services

Develop and scale recurring AI service offerings, including:

AI optimization and tuning

Automation lifecycle management

Copilot adoption and enablement

Convert project-based work into long-term managed services

Drive AI as a core attach opportunity across the client base

AI Product Resale & Commercialization

Identify and onboard third-party AI platforms and products for resale

Define and execute a resale and partner strategy aligned to F12’s model

Package products with services to create bundled MRR offerings

Manage vendor relationships, pricing, and margin optimization

Enable sales on attach, upsell, and positioning strategies

AI Research & Development (R&D)

Lead structured R&D initiatives to evaluate emerging AI technologies

Run experiments, pilots, and internal prototypes

Convert validated use cases into production-ready services and IP

Maintain a pipeline of innovation feeding new PS and MRR offerings

Stay ahead of trends in generative AI and automation

AI Solution Development & Enablement

Guide development of AI solutions, automation workflows, and integrations

Establish best practices for prompting, model usage, and solution design

Build internal enablement assets including playbooks and training

Cross-Functional Leadership

Work collaboratively across CFO, CRO, and CTO portfolios to align AI strategy with profitability, revenue growth, and platform roadmap execution

Ensure solutions are commercially viable, operationally scalable, and technically aligned

Build and lead a high-performing AI practice team over time

Align AI initiatives with business goals and customer outcomes

Success Metrics (First 3-6 Months)

Launch a defined set of AI PS and MRR service offerings

Achieve targeted AI services bookings and revenue growth

Establish MRR contribution through resale and managed services

Drive measurable attach rate of AI offerings within existing clients

Build and operationalize an R&D pipeline with production-ready outputs
Deliver measurable customer impact in efficiency, automation, or revenue enablement