Role overview

AI71 is seeking a Principal Solution Architect to design and deliver enterprise-grade agentic AI solutions for strategic clients. You will bridge the gap between customer needs and AI71’s engineering capabilities, owning the technical relationship with high-value accounts, designing complex multi-agent systems, and setting architectural standards across the solutions team.

Key responsibilities

Lead technical discovery with client stakeholders to identify high-value use cases for agentic AI, assess feasibility and data readiness, and determine when projects are not suitable to proceed.
Design end-to-end agentic solutions including agent roles, orchestration patterns, tool and API integrations, retrieval-augmented generation (RAG), and safety guardrails.
Integrate AI71’s platform with client systems such as identity providers, data sources, CRMs, ERPs, and internal APIs using protocols like Model Context Protocol (MCP).
Build proofs of concept and pilots by writing prompts, configuring agents, and developing integration code, then define evaluation criteria and set up testing before production launch.
Troubleshoot production agent behaviour including tool-call failures, hallucinations, latency issues and cost overruns, and guide delivery teams through rollout and ongoing optimization.
Set architecture standards, lead design reviews, and mentor senior and mid-level solution architects on the team.
Feed insights from client work back to product and engineering teams, and create reusable assets such as reference architectures, templates, and connectors.

Requirements

12+ years of experience in software engineering, solution architecture, forward-deployed engineering, or technical consulting, with at least 5 years in senior client-facing architecture roles on enterprise accounts.
Hands-on production experience with LLM applications and agentic systems at enterprise scale, including prompt engineering, function and tool calling, RAG, and agent frameworks such as LangGraph, CrewAI, AutoGen, Claude Agent SDK, or OpenAI Agents SDK.
Strong coding ability in Python or similar languages, with the ability to build integrations against downstream APIs.
Solid knowledge of cloud architecture (AWS, Azure, or GCP), containers, networking, and enterprise security practices including SSO, RBAC, secrets management and data privacy.
Excellent communication skills to explain technical trade-offs to non-technical executives and write architecture documentation that engineers trust.
Demonstrated track record of leading large, multi-stakeholder engagements from start to finish and influencing executive decisions without formal authority.
Experience mentoring architects or engineers and setting technical direction across a team.

What makes this role worth considering

You will work on cutting-edge AI applications with a talented team addressing real-world challenges in critical sectors, with unique access to world-leading models and resources. The role offers significant career growth opportunities, competitive compensation and benefits, and a flexible working environment with the latest tools and technologies.