Agentic Context Engineer
Core
Build and deploy enterprise AI solutions that transform fragmented business data into actionable intelligence for customers.
Role type
Senior Field Engineering / Solutions Engineer (Generative AI & Data)
Builds
Scalable context models, agentic workflows, and enterprise AI integrations
Domain
Enterprise Data, Generative AI, Analytics
Deliverable
production ML models
Required skills
Enterprise data architecture, Generative AI (RAG, prompt engineering), Python, SQL, Data modeling, Cloud data platforms, Technical pre-sales, Post-sales implementation, Stakeholder management
Preferred skills
Experience with semantic/metadata layers, Security & governance, Platform product feedback
Technologies
Python, SQL, Cloud data platforms, RAG
Responsibilities
Lead technical pre-sales engagements including discovery and proof-of-concept development; Translate business challenges into AI use cases; Own post-sales implementation from deal closure to production deployment; Design scalable context models and agentic workflows; Collaborate with customer IT/security teams on integration challenges; Develop reusable engineering assets and deployment playbooks; Partner with Product/Engineering to shape platform improvements.
Seniority
Senior, hands-on IC