Applied AI solutions Architect
Core
Design and lead practical, production-ready Applied AI solutions connecting data, cloud, and AI technologies to deliver measurable business impact for large enterprises.
Role type
Senior Applied AI Solutions Architect
Builds
Production AI/ML systems, generative AI applications, RAG pipelines, and agentic workflows
Domain
Enterprise Data & AI (Cloud, ML, Generative AI)
Deliverable
production ML models | product features
Required skills
Applied AI architecture, MLOps, generative AI/LLM applications, RAG, semantic retrieval, agentic workflows, Python, SQL, cloud ecosystem design (Snowflake/Databricks/AWS/Azure/GCP), CI/CD for AI
Preferred skills
Advanced agentic AI orchestration, enterprise-scale RAG design, advanced MLOps (model registries, feature stores, drift detection), reusable accelerator frameworks, industry domain expertise (life sciences, retail, finance)
Technologies
Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, AWS Bedrock, SageMaker, Azure AI/ML, Vertex AI, Snowflake Cortex
Responsibilities
Lead end-to-end architecture design for predictive ML, MLOps, and generative AI; translate business problems into technical use cases and implementation plans; guide delivery teams through prototyping to productionization; partner with stakeholders on discovery, roadmaps, and proposals; document architecture decisions and reference designs
Seniority
Senior, hands-on IC
