Forward Deployed AI Architect
- Company
- Tribe
- Location
- Canada
- Work type
- Full Time · Remote · Remote
- Posted
- 2026-08-07
Job description
About the Role
We're looking for a Forward Deployed AI Architect who can walk into an enterprise, understand a messy business problem, and leave behind a production system people actually depend on.
This isn't a PowerPoint architecture role.
You'll spend your time talking to executives in the morning, reviewing agent orchestration with engineers after lunch, debugging production issues in the afternoon, and redesigning an AI workflow before dinner. You'll own technical direction while staying hands-on enough to earn the trust of every engineer in the room.
The best architects we've met are still exceptional builders.
About what you'll Do
Design production AI systems
Architect end-to-end AI applications using LLMs, RAG, agents, structured workflows, evaluation pipelines, and modern cloud infrastructure.
Make pragmatic technical decisions around latency, reliability, observability, governance, and cost.
Design systems that continue working after the demo.
Work directly with enterprise customers
Lead technical discovery sessions.
Translate vague business problems into concrete engineering plans.
Build trust with everyone—from staff engineers to CTOs.
Stay hands-on
Prototype difficult pieces yourself.
Unblock engineering teams when projects get complicated.
Review architecture through implementation—not just diagrams.
Raise the bar
Turn project lessons into reusable frameworks.
Improve internal best practices.
Help shape how modern enterprise AI gets built.
What We're Looking For
You probably have:
8+ years building production software.
Deep experience shipping AI products into production.
Strong Python engineering skills.
Experience with modern AI frameworks, including agent systems, RAG, orchestration frameworks, vector databases, evaluation pipelines, and LLM APIs.
Experience designing distributed cloud systems on AWS, Azure, or GCP.
Strong systems thinking—you understand infrastructure as well as models.
Excellent communication skills with technical and executive audiences.
Bonus points if you've:
Worked as a consultant or forward-deployed engineer.
Built internal AI platforms.
Founded a startup.
Led technical teams while remaining an individual contributor.
Built AI systems in regulated environments like healthcare, finance, cybersecurity, or government.