Applied AI Solutions Architect
Core
Design and guide end-to-end production Applied AI solutions, translating complex business challenges into robust, scalable systems for large enterprises.
Role type
Senior Applied AI Solutions Architect
Builds
Production-ready AI systems, predictive ML models, generative AI applications, and agentic workflows
Domain
Data & AI consultancy, Enterprise Cloud, Machine Learning
Deliverable
production ML models | product features
Required skills
Applied AI architecture, MLOps, Generative AI, LLM applications, RAG, Agentic workflows, Python, SQL, Cloud ecosystems (Snowflake, AWS, Azure, GCP), Solution design, Stakeholder management
Preferred skills
Agentic AI orchestration, Enterprise RAG design, Cloud-native AI services (Bedrock, SageMaker, Vertex AI), Model monitoring and governance, Reusable accelerators
Technologies
Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, Python, SQL
Responsibilities
Lead end-to-end AI architecture design; Translate business requirements into technical roadmaps; Guide prototypes and production implementations; Partner with stakeholders on technology choices; Ensure security, observability, and governance of AI systems
Seniority
Senior, hands-on IC
