Tech Lead - AI, Power Platform

In this hands-on technical leadership role, you will architect, build, and deploy production-grade full-stack web applications from front-end user interfaces through to backend APIs and cloud infrastructure. You will focus on designing and deploying Large Language Model (LLM) agents on Amazon Bedrock, orchestrating tool/function-calling integrations, and connecting applications to enterprise data sources, Power Platform solutions, and cloud services. Working in an AI-assisted development environment, you will establish cloud infrastructure using Infrastructure-as-Code (IaC), build automated CI/CD pipelines, and guide architectural standards across front-end, back-end, and generative AI features.

Duration: 6-Month Contract (with high potential for extension)



Advantages
Cutting-Edge Generative AI Scope: Architect and deploy production LLM agents using Amazon Bedrock, multi-step agent orchestration, and automated tool-calling frameworks.

Modern Full-Stack Engineering: Lead full-stack development using React, Next.js, and serverless/microservices cloud architectures.

AI-Assisted Workflow Culture: Utilize modern AI-assisted IDE environments (such as Kiro and VS Code) to accelerate engineering velocity and innovation.

Strategic Cloud Ownership: Design and maintain scalable AWS cloud infrastructure and automated CI/CD deployment pipelines from the ground up.



Responsibilities
Full-Stack Application Development: Build responsive front-end interfaces and server-side logic using React, Next.js (SSR/API routes), and TypeScript/JavaScript.

Amazon Bedrock AI Agent Engineering: Design, build, and deploy LLM-powered agents on Amazon Bedrock, incorporating tool/function-calling capabilities, knowledge base integrations, and multi-step orchestration workflows.

API Architecture & Integration: Design and implement secure RESTful and GraphQL APIs connecting user-facing web applications to backend data pipelines and AI processing engines.

Cloud Infrastructure & IaC: Author, maintain, and deploy cloud infrastructure templates using AWS CloudFormation (or equivalent IaC tools) supporting services like ECS/Fargate, API Gateway, Cognito, Aurora/RDS, and S3.

CI/CD & DevOps Automation: Configure and maintain automated CI/CD delivery pipelines (GitHub Actions, AWS CodePipeline) to ensure seamless application deployment.

User Workflow & Reporting Tools: Construct user-facing dashboards, interactive analytics views, and automated reporting workflows integrated with Power Platform and cloud databases.



Qualifications
Full-Stack Engineering Experience: Proven expertise building and deploying production-level web applications using React, Next.js, TypeScript, and JavaScript.

Amazon Bedrock & LLM Integration: Hands-on experience developing LLM agents, agent orchestration, and tool/function-calling architectures on Amazon Bedrock (or direct API integrations with frontier models like Claude).

AWS Cloud Infrastructure Depth: Demonstrated capability setting up and running production workloads on AWS (ECS/Fargate, API Gateway, Cognito, Aurora/RDS, S3).

Infrastructure-as-Code (IaC) & DevOps: Practical experience writing and managing CloudFormation templates and establishing automated CI/CD pipelines (GitHub Actions, AWS CodePipeline).

API Design & Power Platform Integration: Deep experience in API creation, microservices architecture, and connecting cloud applications to enterprise data platforms, including Microsoft Power Platform.

Modern AI Tooling: Experience developing within AI-assisted coding environments (e.g., Kiro, VS Code with AI extensions).

Preferred Assets & Nice-to-Haves
Direct experience integrating with external LLM APIs and prompt engineering frameworks.

Experience building enterprise Power Apps, Power Automate flows, or Power BI reporting tools.



Summary
If you are a tech-savvy Tech Lead who pairs full-stack React/Next.js development mastery with hands-on Amazon Bedrock AI agent engineering, AWS cloud architecture skills, and Power Platform integration, this 6-month contract opportunity is an ideal next step. Bring your full-stack engineering precision, generative AI expertise, and cloud leadership to our client's team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.