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Added 12 mins ago
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Added 26 mins ago
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Added 1 hour ago
AVEVA Enterprise SCADA Specialist
SGS
Calgary, AB
$85,000 to $165,000 CAD / year
Full-time
Streamline Control Solutions, part of SGS - the world’s leading testing, inspection, and certification company operating across 115 countries - is a leading operational technology solutions…
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Foundever

Lead Solutions Architect, AI Build & Delivery

Canada

Job type: Full-time
Posting language: English
Posted: Sep 25, 2026

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Original job description

ABOUT FOUNDEVER

Foundever™ is a global leader in the customer experience (CX) industry. With 170,000 associates across the globe, we are the team behind the best experiences for 750+ of the world's leading and digital-first brands. Our innovative CX solutions, technology and expertise are designed to support the operational needs of our clients and deliver a seamless experience to customers in the moments that matter.

ABOUT THIS ROLE

We are building an AI Professional Services practice from the ground up. We need a technically savy Lead Architect who can own the build end-to-end: from client brief to working prototype, from prototype to production, and from solo contributor to the technical anchor of a growing team.

This is a rare founding opportunity. You will personally ship the first solutions, establish what great AI delivery looks like at Foundever, and grow into a Tech Lead role as the practice scales. You will work closely with Sales, Product, and client stakeholders - bringing engineering credibility and realistic delivery judgment to every engagement.

WHAT YOU'LL DO

1. Client Delivery & Technical Build

Be the primary builder in every early client engagement - take a scoped brief to a working prototype within days, not weeks
Design and deliver tailored AI solutions using LLMs, agents, RAG pipelines, and AI-assisted development workflows - from discovery through go-live
Build live demos and proof-of-concepts that directly support deal closure, working alongside commercial stakeholders
Own technical quality across all solutions: security, scalability, maintainability, and production readiness
Lead the transition of delivered solutions to production - including monitoring, cost control, reliability, and support handoff
Apply responsible AI delivery standards: data privacy, model selection, prompt and version management, and safeguards where required

2. Commercial & Scoping Judgment

Assess client needs and determine the best solution path: EverSuite capability, off-the-shelf tooling, or custom AI build
Estimate build costs with precision - time, infrastructure, tooling, and ongoing maintenance
Join client scoping sessions and technical discovery calls, bringing engineering credibility and realistic timelines
Flag reusable solution patterns that can evolve into packaged service offerings
Partner with Sales to scope, price, and validate new services opportunities from a technical standpoint

3. Product Feedback Loop

Identify recurring custom client requests that signal mid-term product opportunities
Communicate technical insights clearly and actionably to Product Managers
Define what "productizable" looks like technically - providing the feasibility foundation for roadmap decisions
Feed client insights back into the EverSuite roadmap through structured cross-functional collaboration

4. Practice Building

Document architecture patterns, reusable components, and build playbooks from day one
Establish delivery methodologies and quality standards for AI implementations
Create repeatable offerings: AI discovery workshops, rapid prototyping packages, paid pilots, and managed AI solution support
As the team grows, step into a Tech Lead role - setting technical standards, reviewing work, and mentoring junior architects and engineers
Define technical hiring criteria for future team members

WHAT WE'RE LOOKING FOR

Must-Haves

7+ years in solutions architecture, software engineering, or technical consulting - ideally in an AI, data, or SaaS context
Strong hands-on track record building and shipping solutions - not just designing them
Deep fluency with AI-assisted development workflows (Cursor, Copilot, Claude, v0, Replit, etc.) - you build with these tools daily
Solid understanding of LLM application patterns: RAG, agents, prompt engineering, tool use, and fine-tuning
Strong engineering judgment - you know when to move fast and when production readiness requires slowing down
Ability to present your own work clearly to both technical teams and non-technical client stakeholders
Proven ability to estimate, scope, and defend technical build decisions commercially
Demonstrated ability to operate autonomously and lead without a fully formed team around you

Nice-to-Haves

Background in enterprise software, cloud platforms, or AI/ML infrastructure
Experience in a startup, scale-up, or zero-to-one environment - comfortable building without a playbook
Familiarity with MLOps, vector databases, or AI safety considerations
Prior experience influencing a product roadmap from field or client insights
Exposure to P&L ownership, SOW management, or professional services revenue models
Background in BPO, CX, or contact center technology
Experience in regulated industries where responsible AI is non-negotiable

WHAT "AI BUILD FLUENCY" MEANS HERE

This isn't an architecture-on-paper role. We expect our Lead Architect to personally ship working software - not just produce diagrams and hand off to others. You use AI-assisted development tools as a force multiplier, not a crutch. You review AI-generated code critically, make real-time architecture decisions without committee alignment, and have a clear point of view on where these tools accelerate delivery and where they introduce risk.

You should be able to demonstrate all of the following:

Spin up a working prototype within hours of a client brief
Critically review AI-generated code - not just prompt and ship
Make real-time architecture decisions without waiting for committee sign-off
Scaffold, ship, and iterate on real solutions under commercial pressure
Coach clients on integrating AI-assisted workflows into their development culture
Maintain engineering rigor around security, scalability, and maintainability

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More about this job

Responsibilities

Build and deliver client-specific AI solutions from discovery and prototypes through production, ensuring security, reliability, cost control, and responsible AI practices. Partner with Sales and Product on technical scoping and product feedback, while establishing reusable delivery methods and growing into a technical leadership role.

Requirements

Requires 7+ years in solutions architecture, software engineering, or technical consulting, with a hands-on record of building and shipping solutions and strong fluency in AI-assisted development and LLM application patterns. Candidates should be able to scope and estimate work commercially, communicate with technical and non-technical stakeholders, and operate autonomously; enterprise, cloud, MLOps, and CX experience are advantageous.

Skills

Solutions Architecture
Software Engineering
AI Solution Development
Large Language Models
Retrieval-Augmented Generation
AI Agents
Prompt Engineering
AI-Assisted Development
Technical Scoping
Cost Estimation
Cloud Platforms
MLOps
Vector Databases
Responsible AI
Production Readiness
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

AI Professional Services
Solutions Architecture
Software Engineering
Large Language Models
AI Agents
Retrieval-Augmented Generation
Prompt Engineering
Fine-Tuning
AI-Assisted Development
Cursor
Copilot
Claude
V0
Replit
EverSuite
Proof Of Concept
Production Readiness
Data Privacy
Model Selection
Prompt Management
Version Management
Responsible AI
MLOps
Vector Databases
Cloud Platforms
AI Safety
Product Roadmap
Statement Of Work Management
BPO
Contact Center Technology

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