Remote AI Architect

About AI Labb

AI Labb is the Data & AI division of TheAppLabb, a technology innovation firm with 18+ years of experience and 750+ applications launched for industry leaders including Suncor, RBC, Petco, and CSA Group. We bridge the gap between AI's promise and business reality, delivering pragmatic AI solutions that create measurable business outcomes rather than theoretical possibilities.

Our approach is business-first: we start with client objectives and work backward to ensure every AI initiative delivers measurable ROI. We are looking for builders who share this philosophy.

Role Summary

We are looking for a hands-on AI Architect who can code, architect, and deploy. You must be able to take a concept from a whiteboard to a working Proof of Concept independently. This role combines deep AWS Cloud Architecture expertise with modern Agentic AI patterns to build autonomous systems that solve real business problems.

You will work directly with clients across manufacturing, retail, financial services, and healthcare, translating their business challenges into working AI solutions. You will also play a key role in growing the AI Labb team by technically vetting and onboarding future engineers.

Core Responsibilities

Hands-On Agentic AI Development

You will build PoCs independently without relying on a dev team for the initial build. This means designing and coding AI Agents using AWS Bedrock and frameworks like LangChain or LangGraph, implementing reasoning, planning, and memory modules. You will configure LLMs to interact with external APIs, databases, and enterprise software to execute real-world tasks. Our clients expect working demonstrations, not slide decks.

AWS Cloud Architecture (PaaS Focus)

You will design scalable infrastructure using AWS PaaS services including Lambda, Fargate, API Gateway, EventBridge, and Step Functions. You will select and optimize Foundation Models via Amazon Bedrock or SageMaker based on cost, latency, and performance requirements. All architectures must meet strict security, compliance, and cost-optimization standards.

Client Delivery & Solution Design

You will participate in AI Discovery engagements to identify high-value opportunities within client organizations. You will translate business requirements into technical architectures that align with our outcome-driven methodology. You will work alongside our AI Strategy and Implementation teams to deliver end-to-end solutions.

Team Building & Technical Leadership

You will lead technical interviewing, selection, and onboarding for new hires within the AI Labb workstream. You will define technical standards and coding guidelines for our growing AI/ML team. You will contribute to knowledge transfer initiatives, building client capabilities rather than dependencies.

Multi-Cloud & Integration

You will integrate AI services into existing enterprise workflows and data pipelines. You will maintain operational knowledge of Azure and GCP to support client-specific multi-cloud requirements.

Must-Have Qualifications

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• AWS Certification: Must hold a valid AWS Certified Solutions Architect (Associate or Professional).
  
• Hands-On Coding: Strong proficiency in Python. You must be comfortable writing production-grade code, not just managing configurations or reviewing pull requests.
  
• Cloud Background: Strong foundation in traditional Cloud Architecture including networking, IAM, and serverless patterns. We expect you to have built cloud infrastructure before moving into AI.
  
• AI Stack: Proven experience with Amazon Bedrock, SageMaker, and Vector Databases such as Pinecone or OpenSearch.
  
• Agentic Experience: Demonstrated ability to build Agents that utilize tools and function calling. We are not looking for people who have only built simple chatbots.
  
• Consulting Mindset: Ability to communicate technical concepts to business stakeholders and translate business problems into technical solutions.