
AI Architect – AWS, Agentic AI
TheAppLabb
full-time
Posted on:
Location Type: Remote
Location: Canada
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About the role
- 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.
- AWS Cloud Architecture (PaaS Focus): You will design scalable infrastructure using AWS PaaS services including Lambda, Fargate, API Gateway, EventBridge, and Step Functions.
- Client Delivery & Solution Design: You will participate in AI Discovery engagements to identify high-value opportunities within client organizations.
- Team Building & Technical Leadership: You will lead technical interviewing, selection, and onboarding for new hires within the AI Labb workstream.
- Multi-Cloud & Integration: You will integrate AI services into existing enterprise workflows and data pipelines.
Requirements
- 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.
Benefits
- Work with Enterprise Clients: Our client roster includes major brands across manufacturing, retail, financial services, and healthcare.
- Business-First Philosophy: We cut through AI hype to deliver real value. Every project starts with measurable objectives.
- Direct Leadership Access: You will work closely with our VP of AI Engineering, Principal AI Solutions Architect, and Chief AI Strategy Officer.
- Growth Opportunity: As an early member of a scaling team, you will shape our technical direction and build the team around you.
- Partnership Ecosystem: Access to AWS, Azure, Google Cloud, Snowflake, Databricks, and leading AI/ML platforms.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI developmentAWS BedrockAWS LambdaAWS FargateAPI GatewayEventBridgeStep FunctionsLangChainLangGraph
Soft Skills
technical leadershipteam buildingcommunicationconsulting mindset
Certifications
AWS Certified Solutions Architect