AI Architect

Job summary

Responsibilities

Architects at Shift are the technical leaders who define the overarching vision across the various squads responsible for building and maintaining our platform’s domains. You will be expected to devise innovative solutions for our clients' ever-evolving needs, maintain a continuous technology…

• Drive strategy & execution: define and spearhead the technical architecture for Shift’s agentic AI ecosystem, translating high-level product goals into sustainable, scalable…
• Architect production AI services: lead the architecture of the backend services required to serve, manage, and scale AI agents in production environments
• Guide engineering & design: partner with agent-focused squads to review technical designs, enforce engineering standards, and ensure alignment with the broader system design
• Optimize operational quality: drive continuous improvements across model performance, output quality, latency, context-window efficiency, and token usage/compute budget governance
• Integrate emerging standards: benchmark and integrate emerging paradigms, such as Model Context Protocol (MCP), advanced RAG patterns, vector pipelines, and agent orchestration…

What they're looking for

• AI & data foundations
• Hands-on expertise with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI) and advanced RAG architectures
• Experience with Model Context Protocol (MCP), tool-calling integrations, and structured LLM outputs
• Strong grasp of vector databases, embedding strategies, prompt engineering, and LLMOps (observability, evaluation, and experiment tracking)
• System design & infrastructure

Tech stack

• RAG
• Azure
• LangChain
• LlamaIndex
• Docker
• Kubernetes
• Kafka
• Python