Principal Forward Deployed Engineer, Enterprise AI Productivity
Core
Partner with business leaders to identify productivity bottlenecks and accelerate Enterprise AI adoption by prototyping AI-driven solutions and evolving pilots into scalable platforms.
Role type
Principal Forward Deployed Engineer (Enterprise AI Productivity)
Builds
Enterprise AI assistants, copilots, agentic workflows, and reusable productivity patterns
Domain
Semiconductor industry + Enterprise AI/LLM applications
Deliverable
production ML models
Required skills
Enterprise AI solution design, LLMs, RAG, semantic search, agentic workflows, cloud-native architecture, API design, microservices, distributed systems, data pipelines, business stakeholder translation, AI evaluation frameworks, observability, rapid prototyping
Preferred skills
Multi-agent systems, agent orchestration, MCP-based integrations, knowledge graphs, enterprise search, Microsoft CoPilot Studio, AWS Bedrock, vector databases, SDK development, architectural patterns, Responsible AI governance, product analytics, telemetry, experimentation
Technologies
LLMs, RAG, semantic search, Microsoft CoPilot Studio, AWS Bedrock, vector databases
Responsibilities
Partner with business leaders to identify productivity bottlenecks and growth opportunities; Lead discovery workshops to translate ambiguous challenges into AI roadmaps; Design, prototype, and deploy Enterprise AI assistants and agentic workflows; Build proof-of-concepts to validate business value; Collaborate with platform teams to productize solutions; Define evaluation frameworks and KPIs for AI initiatives; Guide stakeholders on AI adoption, operationalization, and governance
Seniority
Principal, hands-on IC with strategic advisory
