Position Overview

Cloud9 Solutions is seeking an AI Solutions Lead to develop and lead our artificial intelligence strategy, both for our clients and across Cloud9 Solutions internally.

This is a hands-on, client-facing role that combines AI strategy, solution architecture, consulting, implementation, automation, governance, and business transformation. The AI Solutions Lead will help organizations understand where AI can create meaningful business value, develop practical AI roadmaps, and implement secure, scalable solutions that improve productivity, automate processes, improve access to information, and enhance decision-making.

The role will also lead Cloud9's own adoption of AI. The successful candidate will identify opportunities to incorporate AI across our service desk, professional services, cybersecurity, sales, marketing, operations, documentation, reporting, and customer experience.

This is not simply an AI development position. We are looking for someone who can bridge business problems and technology, communicate with executives and technical teams, and turn AI concepts into working solutions with measurable outcomes.

Key Responsibilities

AI Strategy & Client Advisory

- Lead AI discovery and strategy engagements with Cloud9 clients.
- Meet with executives, business leaders, IT teams, and operational stakeholders to identify high-value AI opportunities.
- Conduct AI readiness and maturity assessments covering people, process, technology, data, security, privacy, and governance.
- Develop client-specific AI strategies, roadmaps, use cases, implementation plans, and adoption programs.
- Help clients prioritize opportunities based on business value, complexity, implementation cost, security, data readiness, and organizational impact.
- Develop business cases and ROI models for proposed AI initiatives.
- Facilitate AI workshops, executive briefings, demonstrations, and proof-of-concept engagements.
- Help clients establish realistic expectations around generative AI, automation, agents, machine learning, and AI-assisted decision-making.

AI Solution Architecture & Delivery Design and implement AI solutions using technologies such as:

- Microsoft 365 Copilot
- Microsoft Copilot Studio
- Azure AI services
- Azure OpenAI
- Microsoft Fabric
- Power BI
- Microsoft Power Platform
- Power Automate
- Power Apps
- Microsoft Graph
- Dataverse
- Azure Functions and Logic Apps
- APIs and third-party SaaS platforms
- Retrieval-Augmented Generation (RAG)
- Enterprise search and knowledge solutions
- AI agents and multi-step agentic workflows

Solutions may include:
- Internal knowledge assistants
- Customer service assistants
- Document analysis and summarization
- Proposal and document generation
- Email and communication automation
- Workflow automation
- Meeting intelligence
- Sales and CRM assistants
- AI-powered reporting
- Employee self-service assistants
- Service desk automation
- Knowledge management
- Contract and document processing
- Natural-language interfaces to organizational information
- Custom AI agents that perform multi-step business processes

Microsoft Copilot & Microsoft 365 AI Serve as Cloud9's technical and strategic lead for Microsoft AI technologies.

Responsibilities will include

- Microsoft 365 Copilot readiness assessments
- Copilot licensing and deployment strategy
- Copilot Studio development
- Custom agent development
- Microsoft Graph integrations
- SharePoint and Microsoft 365 information architecture
- Power Platform automation
- Enterprise search
- Data security and permissions review
- Copilot adoption and user training
- AI governance and acceptable-use frameworks

A critical responsibility will be ensuring organizations have appropriate identity, permissions, information architecture, data classification, and security controls before broad AI deployment. AI Automation & Agents

Identify processes that can be redesigned using AI and automation.

Examples include

- Automated client onboarding
- Intelligent ticket classification and routing
- Service desk response assistance
- Automated documentation
- Proposal generation
- Sales qualification
- Customer follow-up
- Contract analysis
- Invoice and document processing
- Knowledge-base creation
- Employee onboarding
- Executive reporting
- Data extraction
- Meeting follow-up and action-item tracking

The AI Solutions Lead should be comfortable combining deterministic automation with generative AI rather than attempting to solve every problem exclusively with an LLM. Cloud9 Internal AI Transformation A major component of this role will be making Cloud9 Solutions itself an AI-enabled organization.





The AI Solutions Lead will work directly with Cloud9 leadership and departmental teams to identify, prioritize, and implement internal AI opportunities.

Key areas will include

Service Desk

- AI-assisted ticket summarization
- Ticket categorization and routing
- Suggested technician responses
- Troubleshooting assistance
- Automated knowledge-base creation
- Documentation generation

Professional Services

- Project documentation
- Statements of Work
- Migration planning
- Technical research
- Configuration documentation
- Project status reporting

Sales

- Opportunity research
- Proposal development
- RFP response automation
- Meeting preparation
- CRM intelligence
- Sales follow-up
- Account intelligence

Marketing

- Content creation and repurposing
- SEO and AI-search optimization
- Campaign development
- Industry-specific marketing
- Market intelligence

Operations

- Reporting
- Workflow automation
- Executive dashboards
- Process documentation
- Internal knowledge management

The expectation is that Cloud9 will use internally what we recommend and sell to clients, allowing our team to demonstrate real-world examples and lessons learned. AI Governance, Security & Responsible AI

Ensure that AI implementations meet appropriate standards for security, privacy, compliance, and responsible use.

Responsibilities include

- Developing AI governance frameworks
- Designing AI acceptable-use policies
- Reviewing data access and permissions
- Implementing data-loss prevention controls
- Protecting confidential client information
- Evaluating third-party AI platforms
- Establishing controls around organizational AI agents
- Maintaining appropriate human review for sensitive workflows
- Monitoring AI solutions for accuracy and reliability
- Addressing prompt injection, data leakage, hallucination, and inappropriate data access risks

AI Adoption & Training Successful AI implementation requires more than deploying technology.

The AI Solutions Lead will:

- Develop AI training programs for clients and Cloud9 employees.
- Conduct executive and employee AI workshops.
- Teach effective prompting and AI-assisted workflows.
- Develop role-specific AI use cases.
- Develop adoption metrics.
- Monitor usage and business outcomes.
- Help organizations redesign processes around AI rather than simply adding AI to existing workflows.

Pre-Sales & Business Development Support Cloud9's development of a growing AI consulting and managed AI services practice.

Responsibilities include

- Participate in client discovery and sales meetings.
- Develop solution concepts and demonstrations.
- Scope AI engagements.
- Develop Statements of Work.
- Estimate project effort and implementation requirements.
- Support proposals and RFP responses.
- Develop packaged AI consulting services.
- Create repeatable AI solutions that can be delivered across multiple Cloud9 clients.
- Help establish pricing models for AI advisory, implementation, support, and managed AI services.
- Identify opportunities within Cloud9's existing Managed IT customer base.

AI Service Development Work with Cloud9 leadership to develop a formal AI services portfolio, potentially including:

- AI Readiness Assessment
- AI Strategy & Roadmap
- Microsoft 365 Copilot Readiness
- Microsoft 365 Copilot Deployment
- Copilot Studio Agent Development
- AI Governance Assessment
- AI Security Assessment
- Business Process AI Assessment
- AI Automation Development
- Custom AI Agent Development
- Enterprise Knowledge Assistant
- AI Adoption & Training
- Managed AI Services
- Fractional AI / Virtual Chief AI Officer advisory services

The AI Solutions Lead will help turn successful custom engagements into repeatable, scalable Cloud9 offerings.

Qualifications

Required

- Strong understanding of generative AI and modern AI architecture.
- Experience delivering technology solutions to business customers.
- Solid Microsoft 365 and Azure knowledge.
- Experience with Microsoft Power Platform and business process automation.
- Understanding of APIs and system integration.
- Ability to translate business requirements into technical solutions.
- Strong understanding of information security, identity, permissions, and data governance.
- Experience leading customer discovery and technical workshops.
- Excellent written and verbal communication skills.




- Ability to communicate effectively with both executives and technical teams.
- Strong troubleshooting and analytical skills.
- Ability to independently take AI opportunities from idea to production implementation.

Preferred Technical Experience Experience with several of the following would be highly desirable:

- Microsoft 365 Copilot
- Copilot Studio
- Azure OpenAI
- Azure AI
- Azure AI Search
- Power Automate
- Power Apps
- Dataverse
- SharePoint Online
- Microsoft Graph
- Microsoft Fabric
- Power BI
- REST APIs
- JSON
- Python
- PowerShell
- SQL
- Git
- Vector databases
- RAG architectures
- AI agents
- Prompt engineering
- Model evaluation and testing

Preferred Certifications Relevant certifications are an asset, including:

- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Power Platform Solution Architect Expert
- Microsoft Certified: Power Platform Developer Associate
- Microsoft Applied Skills credentials related to Azure AI and Microsoft Copilot
- Other recognized AI, cloud, security, or data certifications

Certifications are considered an asset, but demonstrated ability to design and deliver working AI solutions is more important. Ideal Candidate The ideal candidate is someone who gets excited when a client says:

"We know AI is going to change our business, but we don't know where to start."

Rather than immediately recommending a specific AI product, they ask questions about the client's business, processes, employees, customers, data, systems, challenges, security requirements, and objectives.

They can then turn those conversations into a practical roadmap:

Business Problem → Use Case → Data → Architecture → Security → Prototype → Deployment → Adoption → Measurement → Improvement

They should be equally comfortable:

- Presenting an AI strategy to a CEO.
- Running a process-discovery workshop.
- Designing a Copilot Studio agent.
- Working with APIs and integrations.
- Building a proof of concept.
- Discussing data governance with an IT team.
- Demonstrating a solution to a customer.
- Training employees on effective AI usage.
- Measuring whether the solution actually delivered business value.

Success Measures Success in this position will be measured by outcomes such as:

- Number and value of AI consulting opportunities developed
- AI professional-services revenue
- Conversion of assessments into implementation projects
- Number of AI solutions successfully deployed
- Customer adoption and satisfaction
- Documented time or cost savings for clients
- Development of repeatable Cloud9 AI service offerings
- Improvement in Cloud9's own operational efficiency through AI
- Internal employee adoption of approved AI technologies
- Creation of reusable architectures, templates, agents, and automation
- Growth of recurring Managed AI Services revenue

First-Year Priorities Within the first 12 months, the AI Solutions Lead would be expected to:

- Establish Cloud9's AI delivery framework for discovery, assessment, design, security, deployment, and adoption.
- Develop Cloud9's AI services portfolio into clearly defined, sellable engagements.
- Assess Cloud9's internal operations and create an internal AI roadmap.
- Deploy several high-impact internal AI solutions that demonstrate measurable productivity improvements.
- Develop Microsoft Copilot and Copilot Studio expertise within Cloud9.
- Create demonstration solutions that Cloud9's sales team can show prospective clients.
- Build reusable AI architectures and accelerators that reduce implementation time.
- Establish AI governance and security standards for both internal and customer projects.
- Identify AI opportunities across Cloud9's Managed IT customer base.
- Build the foundation for a recurring Managed AI Services practice.

Why This Role Matters at Cloud9 AI is quickly becoming another core layer of business technology alongside cloud infrastructure, cybersecurity, Microsoft 365, networking, and managed IT.

Cloud9 has an opportunity to become the organization that helps clients answer not only:

"What AI tools should we buy?"

but the much more important question:

"How should our organization actually use AI to operate better?"

The AI Solutions Lead will be responsible for helping Cloud9 build that capability, prove it internally, and bring practical, secure, business-focused AI solutions to our clients

Pay: $90,000.00-$110,000.00 per year

Application question(s)

- Do you have a class 5 Drivers License and a reliable car?
- Are you a Permanent Resident or on a Open Work Permit?
- Do you live in the Vancouver, Langley, Surrey BC area?

Work Location: Hybrid remote in Langley, BC

📌 AI Solutions Lead (Langley)
🏢 Cloud9 Solutions
📍 Langley