Senior Manager, Solutions Architecture - Data & AI

Added
26 minutes ago
Type
Full time
Salary
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Related skills

docker snowflake kubernetes databricks mlops

πŸ“‹ Description

  • Presale: Lead scoping, design, and work planning during presales for data & AI proposals.
  • Delivery: Lead architecture and discovery; design data pipelines, ML models, and MLOps.
  • Subject Matter Expertise: Own a technology vertical in Data & AI; platform selection and thought leadership.
  • Roving Catalyst: Provide architectural guidance across project teams in data eng, ML, and AI.

🎯 Requirements

  • Cloud data platforms: Databricks, Snowflake, or lakehouse solutions.
  • Cloud AI/ML services: AWS Bedrock, SageMaker, Azure ML, Vertex AI.
  • Backend cloud deployment: AWS, Azure, GCP for data/AI solutions.
  • Data & AI domain: ingestion, ETL/ELT, warehousing, data lakes, real-time analytics.
  • ML & AI acumen: ML trends, MLOps, agentic AI, LLMs.
  • Technical proficiency: MLOps CI/CD, Docker, Kubernetes.
  • Agency/client-service experience; pre-sale and post-sale engagements.

🎁 Benefits

  • Equal Opportunity Employer
  • Global, diverse team
  • Flexible work options (Remote/Hybrid)
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