Sr. Applied AI Engineer
Core
Design, build, and operationalize production-ready AI and machine learning systems that solve business problems for enterprise customers.
Role type
Senior Applied AI Engineer (Production ML & GenAI)
Builds
Production AI/ML solutions, agentic workflows, and intelligent automation for enterprise clients
Domain
Enterprise Data & AI (Cloud, LLMs, Generative AI)
Deliverable
production ML models | product features
Required skills
Python, SQL, Cloud AI/ML ecosystems, Production AI/ML patterns, Enterprise integration
Preferred skills
Agentic AI systems, Enterprise RAG, Cloud-native AI services, LLM orchestration frameworks, Model monitoring & CI/CD
Technologies
Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, LangChain, LlamaIndex
Responsibilities
Build and operationalize production-ready Applied AI and machine learning solutions; Translate solution architectures into clean, maintainable code and pipelines; Implement robust production patterns for predictive ML, generative AI, and agentic workflows; Integrate AI solutions with enterprise data platforms and APIs; Contribute to reusable accelerators and engineering standards
Seniority
Senior, hands-on IC
