AI Architect

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure-empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

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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 watch to keep our platform at the absolute state of the art, and act as the guardian of system design quality and the long-term robustness of our tech stack.

As our very first AI Architect, you will lead the overarching technical vision and architecture for Shift's agentic AI capabilities. This is a high-visibility, mission-critical position driving our shift toward an advanced, agent-first product ecosystem. You will work closely with engineering talents, data scientists, and senior leadership to define, build, and scale our core AI strategy. This includes integrating MCPs, robust experiment tracking and observability frameworks, advanced vector databases and embeddings pipelines, RAG architectures, and sophisticated agent orchestration layers.

• Drive strategy & execution: define and spearhead the technical architecture for Shift's agentic AI ecosystem, translating high-level product goals into sustainable, scalable technical implementations
• 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 frameworks, into our production stack
• Ensure robustness & compliance: e stablish governance, security, and observability frameworks (LLMOps) to guarantee our AI deployments remain audit-ready, secure, and highly reliable.

We are seeking a senior technical leader who combines a deep mastery of modern AI ecosystems with rock-solid production system design skills in enterprise cloud environments (specifically Azure).

Hands-on expertise with agentic frameworks (e.