Hiring: Senior Manager, Solutions Architecture - Data & AI Company: TELUS Digital Location: United States Job Posted Time: 2026-09-10 11:38:43 Employment Type: Remote Target Skills & Keywords : AI, AWS, Agile, Azure, CI/CD, Data Pipeline, Databricks, Deep Learning, Docker, ELT, ETL, GCP, Kubernetes, LLM, MLOps, Machine Learning, SageMaker, Snowflake, Vertex AI About the job Required Skills: •Between engagements, you'll lend your expertise across teams as a flexible problem-solver, while deepening your knowledge in areas like cloud data platforms (e.g., Databricks, Snowflake, Azure, AWS, GCP) or advanced AI/ML methodologies. •Presale: Lead scoping, technical design, and work planning during the presale process, articulating our data and AI capabilities to prospective clients. •Delivery: Play the lead role in technical architecture and discovery projects, using consulting methods to refine the data product and technical architecture of client projects. This includes designing scalable data pipelines, machine learning model architectures, and MLOps frameworks. •Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise in data engineering, machine learning, or artificial intelligence. Qualifications: •Cloud Data Platforms: Deep experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. •Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). •Backend Cloud Platforms: Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions. •Data & AI Industry Expertise: Specialized knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics. •Machine Learning & AI Acumen: Candidates should be aware of current trends in machine learning (supervised, unsupervised, deep learning), MLOps, and advanced AI concepts like Agentic AI or Large Language Models (LLMs). •Comprehensive expertise in MLOps principles and tools for continuous integration/continuous delivery (CI/CD) of machine learning models. •Operational familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments. •An eye for details and an ability to navigate ambiguity. •Demonstrated capacity to clearly break down complex data and AI concepts to both technical and non-technical individuals, including executive stakeholders. •Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies for data and ML). Compensation: •$185,000 - $224,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!