AI Architect

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🕒 June 8

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TheAppLabb

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

TheAppLabb is a company specializing in mobile app strategy, design, and development with a strong focus on AI-powered solutions. They excel in creating exceptional mobile experiences that resonate, engage, and transform, with a dedication to providing innovative and results-driven solutions. With over 15 years of expertise and a track record of launching more than 750 apps, TheAppLabb is recognized for their agile development and speed-to-market capabilities. They offer end-to-end services from ideation to post-launch support, tailored to the unique needs of businesses in industries such as healthcare, financial services, and retail. Their custom solutions and user-centric design foster loyalty and engagement, helping businesses harness AI for growth and success.

📋 Description

• 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 cloud-native services (AWS Bedrock, Azure AI Foundry, Google Vertex AI / Gemini Enterprise Agent Platform) and modern agentic frameworks. • Multi-Cloud Architecture: You will design scalable infrastructure across all three major hyperscalers and recommend the right one for each client's situation. • Agentic Framework Design: Beyond individual agents, you will architect the cross-platform frameworks that sit above clients' existing AI stacks by designing how agents communicate, hand off, and share memory across platforms. • Client Delivery & Solution Design: You will participate in AI Discovery engagements to identify high-value opportunities within client organizations and work alongside our AI Strategy and Implementation teams to deliver end-to-end solutions. • Build-vs-Buy and Platform Strategy: You will lead build-vs-buy analysis for each layer per client with clear pros/cons grounded in their existing stack and team skills. • Governance, Security, and Brand Safety: You will embed policy-as-code, identity, permissioning, and other security controls into every architecture from day one. • Team Building & Technical Leadership: You will lead technical interviewing, selection, and onboarding for new hires within the AI Labb workstream.

🎯 Requirements

• Cloud Certification: Must hold at least one of AWS Certified Solutions Architect (Associate or Professional), Google Cloud Professional Cloud Architect / Professional Machine Learning Engineer, or Microsoft Azure Solutions Architect Expert. • Working knowledge of the other two clouds is required even if certifications are only on one. • Hands-On Coding: Strong proficiency in Python. You must be comfortable writing production-grade code, not just managing configurations or reviewing pull requests. • TypeScript or Go is a plus given ADK and Strands SDK support. • Cloud Background: Strong foundation in traditional cloud architecture including networking, IAM, identity, serverless patterns, and infrastructure-as-code. • AI Stack: Proven experience with at least one hyperscaler AI platform (Amazon Bedrock + AgentCore, Vertex AI Agent Builder + ADK, or Azure AI Foundry) and operational fluency across all three. • Hands-on with vector databases such as Pinecone, OpenSearch, pgvector, or equivalent. • Agentic Experience: Demonstrated ability to build agents that utilize tools and function calling, with memory, planning, and multi-step reasoning. • Framework Fluency: Deep, current fluency with at least two of LangGraph, CrewAI, Microsoft AutoGen, Semantic Kernel, Google ADK, AWS Strands, OpenAI Agents SDK, LlamaIndex Agent Workflows. • LLM Observability: Practical experience with tooling such as Openlayer, LangSmith, Arize, Langfuse, or Galileo. • Governance Tooling: Familiarity with policy-as-code and AI governance tooling — OPA, Cedar, NeMo Guardrails, Guardrails AI, Credo AI, or equivalent. • Interoperability Standards: Working knowledge of MCP (Model Context Protocol) and A2A (Agent2Agent) and how they fit into enterprise agent architectures. • Consulting Mindset: Ability to communicate technical concepts to business stakeholders, sit with a client's CTO and sketch an architecture, then sit with their CEO and explain why it matters.

🏖️ Benefits

• Work with Enterprise Clients: Our roster includes major brands across luxury retail, 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, Chief AI Strategy Officer, and the CEO. • 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. • Frontier Exposure: Through Canada AI Alliance and Global AI Leaders Alliance, you'll have visibility into how the most demanding AI organizations are building. • Knowledge Transfer as a Deliverable: Our clients explicitly hire us to build their internal capability, not their dependency on us. You'll teach as much as you build.