Principal AI Architect

We operate at the intersection of data foundations and applied AI , helping clients move from research concepts to real, deployed systems.

We are a small, sharp consulting team. We ship real systems, not just decks. As a Principal AI Architect , you are the senior technical authority responsible for ensuring our AI solutions are not just impressive demos, but durable, governable, and operationally sound.

This is a hands-on principal IC role , not a people-management position.

You are the technical decision-maker for AI delivery at Fastloop. You bridge the gap between the art of the possible and production reality , owning decisions across model selection, RAG strategy, agent orchestration, security posture, and deployment architecture .

You lead by doing. You write the core scaffolding code, define the architectural patterns others extend, and act as the final technical gatekeeper for production AI releases. When projects hit complexity cliffs, you are called in to unblock them.

While you do not formally manage people, you are expected to teach, mentor, and elevate the technical bar across the team.

What You’ll Do

1. Agentic Intelligence & Reasoning

• Architect agentic workflows : Design multi-step, stateful agent systems using LangGraph, CrewAI, Semantic Kernel, or equivalent frameworks.
• Beyond prompting : Define how agents reason, plan, and act. Define tool selection, memory, guardrails, and failure handling.
• Application Logic & Cognitive Architecture : Build the complex chains, prompt orchestration, reasoning loops, and multi-agent workflows. Maintain conversation state, manage token limits, and handle tool-calling errors gracefully in production.
• Advanced RAG : Design retrieval systems end-to-end : chunking strategy, embeddings, indexing, hybrid search, grounding, and citation.
• Evaluation & Metrics Ownership : Design robust evaluation frameworks (LLM-as-a-Judge, Ragas, TruLens, Arize) to measure model performance, latency, and accuracy before production deployment. Own the 'truth' of the system and prove that AI solutions work reliably.
• Custom tooling : Build APIs and tools when off-the-shelf connectors fall short.

2. Technical Leadership & Delivery

You hold final technical sign-off on AI deployments.

3. Strategic Consulting & Practice Enablement

Your Technical Toolkit

AI & LLMs

Engineering

Infrastructure & Ops

Data & Systems

Frameworks & Platforms

Experience & Background

We're looking for demonstrated experience that highlights :

Ready to build real AI systems? We want to hear from you.