Forward Deployed AI Architect
Core
Design and deploy end-to-end AI-native architectures (assistants, RAG, agents) for enterprise clients, moving solutions from pilot to production.
Role type
Senior solution architect (AI-native systems)
Builds
Production-ready AI systems, orchestration pipelines, and agent workflows for enterprise clients
Domain
Enterprise AI, Applied AI, Cloud Architecture
Deliverable
production ML models | product features
Required skills
Solution architecture, distributed systems, cloud architecture, enterprise data-flow design, client-facing problem framing, stakeholder management, decision documentation (ADRs), hands-on prototyping, ambiguity navigation
Preferred skills
Regulated industry experience (finance, healthcare, insurance), agent frameworks, tool/function calling, MCP, orchestration patterns, LLM observability, identity/authorization for agentic systems, cost/token economics, presales
Technologies
Cloud, LLM, MCP, RAG, OAuth, Security
Responsibilities
Embed with client accounts to collaborate with business owners and engineering teams; design end-to-end AI-native architectures covering orchestration, retrieval, integration, autonomy, and guardrails; define capability economics models and trust-rung evidence; determine AI delegation levels and human oversight requirements; build proofs of concept and reference implementations; feed client lessons back into internal architecture practices
Seniority
Senior, hands-on IC with client-facing delivery accountability
