Machine Learning 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 Machine Learning Solutions Architect (Applied AI)
Builds
End-to-end Applied AI architectures, production AI/ML systems, and agentic workflows for enterprise clients.
Domain
Data & AI consultancy, Cloud, Generative AI, MLOps
Deliverable
production ML models
Required skills
Applied AI architecture, MLOps, Generative AI, LLM applications, RAG, Semantic retrieval, Agentic workflows, Cloud platforms (Snowflake, Databricks, AWS/Azure/GCP), Python, SQL, CI/CD for AI
Preferred skills
Advanced agentic AI systems, Enterprise-scale RAG, Intelligent workflow automation, Model registries, Feature stores, AI evaluations, Prompt management
Technologies
Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, AWS Bedrock, SageMaker, Azure AI/ML, Vertex AI, Snowflake Cortex
Responsibilities
Lead design of end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, RAG, and agentic workflows; Translate ambiguous business problems into clear use cases and implementation plans; Guide delivery teams through discovery, prototyping, implementation, and productionization; Partner with stakeholders to run discovery workshops and shape roadmaps; Contribute to practice assets by documenting architecture decisions and reference designs.
Seniority
Senior, hands-on IC
