Senior Solutions Architect — AI/ML - oakville, Oakville

About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an \"Engineering Company\" delivering measurable value and key business outcomes. Intuitive Superpowers: - DataOps & AI/ML - Cloud Native, AppSecOps, DevSecOps - Cloud Migration & Transformation - Cloud FinOps - Cybersecurity (App/Data/Infra) & GRC - SDx & Digital Workspace We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022. About the job: Title – Senior Solutions Architect — AI/ML Start date: Immediate Position Type: 3+ Months (Possibility of extension) Location: Remote across USA/ Canada Position Overview We are seeking a Senior Solutions Architect with AI/ML expertise to lead the use case architecture design, ML pipeline development, and edge inference strategy. This role involves designing solution architectures for two priority industrial use cases and defining the MLOps pipeline for model development, training, and deployment. Key Responsibilities Technical Leadership • Design detailed solution architectures for two high-priority industrial use cases • Architect ML pipelines for predictive maintenance, anomaly detection, or quality inspection • Design edge inference capabilities for real-time decision support at the plant level • Define MLOps pipeline including model development, training, deployment, and monitoring • Conduct use case prioritization and requirements workshops Customer Engagement • Lead use case detailed requirements workshops with Client teams • Present AI/ML solution architectures to technical and business stakeholders • Collaborate with OT and data teams to identify high-value ML opportunities • Support use case backlog development leveraging the MIDA platform Solution Development • Design feature engineering approaches for time-series and industrial data • Architect model monitoring, drift detection, and retraining workflows • Define containerized inference deployment for edge and cloud • Document ML solution designs and implementation roadmaps Qualifications Experience • 7+ years in machine learning, data science, or AI engineering • Experience with industrial or manufacturing ML use cases (predictive maintenance, quality, etc.) • Experience deploying models at the edge and in production environments Technical Skills (AWS Services, would consider competitive alternatives) • Amazon SageMaker (Studio, Pipelines, Endpoints) • Amazon Bedrock (foundation models, agents) • AWS IoT Greengrass ML Inference • Amazon Lookout for Equipment / Lookout for Vision • AWS Step Functions (ML workflow orchestration) • Amazon ECR / ECS (containerized inference) • ML Frameworks: TensorFlow, PyTorch, Scikit-learn • MLOps: CI/CD for ML, model versioning, monitoring Soft Skills • Strong communication skills for technical and business audiences • Ability to translate business problems into ML solutions • Experience working in agile environments • Customer-focused mindset AWS Certifications (Nice to have) • AWS Certified Machine Learning — Specialty • AWS Certified Solutions Architect — Associate or Skilled Apply on Kit Job: kitjob.ca/job/2nl2ij