About the Role
Our client is looking for an AI-focused Solution Architect to identify, design and deliver AI-led enterprise solutions for client companies globally. AI/GenAI is the main focus, supported by strong application, Azure, data and integration architecture capability.
What You'll Do
- Work with business teams to discover and prioritize practical AI/GenAI use cases.
- Architect solutions using LLMs, RAG, AI assistants/copilots, enterprise search and agentic workflows where appropriate.
- Design secure integration of AI with enterprise applications, data, APIs and knowledge sources.
- Take solutions from concept/PoC through architecture approval, development and production deployment.
- Architect modern web/cloud applications on Microsoft Azure and guide engineering teams.
- Present solution options, value, risks, cost and architecture to steering committees and senior stakeholders.
- Address AI evaluation, hallucination/grounding, security, privacy, monitoring and responsible AI.
Core Skills
- 812 years in software/application/cloud engineering with meaningful solution-design responsibility.
- Demonstrable hands‑on delivery of AI/GenAI solutions; strong understanding of LLMs and RAG.
- Strong Microsoft Azure and modern application architecture experience.
- APIs, integration, enterprise data and security fundamentals.
- Ability to guide developers/engineers and take solutions into production.
- Strong stakeholder communication and solution‑presentation capability.
Preferred / Advantage
- Azure OpenAI / Azure AI / Azure AI Search, AI agents, vector/semantic search.
- Python, React, Node.js/.NET, microservices and cloud‑native development.
- Azure Data Factory, Power Platform, Power BI, SharePoint.
- SAP or Teamcenter/PLM integration exposure; manufacturing/engineering environment.
- DevOps, containers and AI governance/LLMOps.
What We're Looking For
We are not restricting this to candidates already titled "AI Architect". A strong Technical Lead, Application Architect or Cloud Architect with genuine AI/GenAI delivery experience and the ability to solution, present and steer implementation can be an excellent fit.