AI Architect
Core
Design and lead applied AI/ML solutions, bridging complex business problems with cutting-edge AI execution to drive measurable business impact.
Role type
Senior AI Architect (Applied AI & Systems)
Builds
Scalable, secure AI applications, agentic workflows, and MLOps pipelines for enterprise use cases.
Domain
Enterprise AI, Generative AI, Distributed Systems
Deliverable
production ML models
Required skills
Generative AI (LLMs, RAG, Agentic AI), Distributed Systems Architecture, MLOps, Python/Java/Go, Vector & Graph Databases, Cloud AI Platforms, Security (Prompt Injection, RBAC), Telemetry & Monitoring
Preferred skills
Open-source AI contributions, Technical writing, Solutions Architecture experience
Technologies
LangGraph, LlamaIndex, AutoGen, Semantic Kernel, PyTorch, TensorFlow, Pinecone, Weaviate, Neo4j, GCP Vertex AI, AWS SageMaker, Azure OpenAI, LangSmith, Phoenix, Datadog
Responsibilities
Lead applied AI solution design and architecture; Contribute to detailed design of large-scale distributed AI/ML systems; Design retrieval, prompting, and orchestration patterns; Drive hands-on development of key AI components; Build and deploy AI-enabled internal workflows; Lead implementation of MLOps pipelines; Develop evaluation approaches for output quality and latency; Provide technical leadership and mentorship to AI/ML engineers.
Seniority
Senior, hands-on IC with strategic leadership
