AI Solution Architect designing Azure - based agentic and machine learning solutions for a Canadian financial institution. Translating business requirements into secure, scalable cloud architectures.
About the role
- Smart Factory Manager leading a team to develop software for digitizing production lines and implementing streaming machine controls. Focused on building modern smart factory solutions and collaborating with cross-functional teams.
Responsibilities
- Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
- Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
- Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
- Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
- Design and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
- Manage software deployments, system updates, patches, and release processes across production and development environments.
- Collaborate with cross-functional teams to brainstorm, architect, and implement innovative Industry 4.0 solutions.
- Develop KPIs, dashboards, metrics, and monitoring tools to track smart factory and production performance.
- Provide detailed technical specifications for proposed solutions, including required hardware, software, cloud services, external vendors, and internal resources.
- Actively troubleshoot and resolve issues encountered during development, testing, deployment, and production operations.
- Participate in Agile software development processes, including sprint planning, backlog refinement, and stand-ups using tools such as Jira.
- Maintain technical documentation, architecture diagrams, operational procedures, and project artifacts using Confluence and related documentation platforms.
Requirements
- Strong experience designing and implementing smart factory, Industrial IoT (IIoT), and cloud-connected manufacturing solutions.
- Experience with Infrastructure as Code (IaC) tools, particularly Terraform.
- Hands-on experience with Amazon Web Services (AWS), including cloud architecture, deployment, and operational management.
- Experience developing AI and generative AI solutions using AWS Bedrock and AgentCore.
- Proficiency in modern programming languages such as Go (Golang), TypeScript, Python, JavaScript, C#, Java, and/or C++.
- Experience developing scalable APIs, backend services, and distributed applications.
- Strong understanding of cloud-native architectures, containerization, and microservices principles.
- Experience with databases and multiple forms of data storage technologies (SQL, NoSQL, time-series, and cloud-native storage platforms).
- Good understanding of IoT architectures, cybersecurity principles, and communication protocols such as MQTT.
- Experience with DevOps practices, CI/CD pipelines, source control systems, and automated deployment strategies.
- Knowledge of Agile and traditional project management methodologies including Agile/Scrum and Waterfall.
- Experience using Agile collaboration and tracking tools such as Jira.
- Experience maintaining technical and operational documentation using Confluence or similar platforms.
- Understanding statistical analysis and manufacturing performance metrics.
Benefits
- Awareness
- Unity
- Empowerment
- Diversity and inclusion focus
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