AI Architect
Core
Lead the design and evolution of enterprise AI infrastructure, platforms, and governance to enable scalable, secure adoption of AI across the organization.
Role type
Senior AI Architect (Enterprise Infrastructure & Strategy)
Builds
Enterprise AI infrastructure, platforms, patterns, and governance for AI-enabled products, workflows, and agentic systems.
Domain
Enterprise Software / AI Infrastructure / Cloud Platforms
Deliverable
production ML models | infrastructure
Required skills
Enterprise architecture, cloud infrastructure, LLM platforms, RAG, agent orchestration, vector databases, automation platforms, AI governance, security and compliance, cross-functional leadership
Preferred skills
Strategic systems thinking, hands-on prototyping, ambiguity management, technical judgment, collaboration across diverse teams
Technologies
Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, IBM Watson X, AWS AgentCore, Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, OpenSearch, Azure AI Search, Workato, MuleSoft, Boomi, UiPath, n8n, Zapier, Make
Responsibilities
Lead design of enterprise AI infrastructure and architecture; Modernize technology foundation for AI tools and automations; Define patterns, standards, and best practices for AI applications; Partner with teams to identify platforms for AI adoption; Design scalable approaches for connecting AI systems to enterprise data; Guide implementation of secure AI capabilities including LLM access and agent orchestration; Evaluate emerging AI platforms and recommend solutions; Provide technical leadership for teams building AI solutions; Shape enterprise AI roadmap and prioritize foundational investments.
Seniority
Senior, hands-on IC with strategic leadership