Artificial Intelligence Architect
Role details
Job location
Tech stack
Job description
We are building an internal AI sandbox and are looking for a high level AI architect to lead it.
This is not an entry level AI role. This is not a research only position. This is a build and deploy role inside a real operating company.
The Mission
Your job is to identify, build, and deploy AI systems that create real operational advantage.
You will:
- Design and implement internal AI agents
- Build copilots for sales, engineering, manufacturing, and support
- Create automation pipelines using LLMs and agent frameworks
- Implement RAG systems and knowledge retrieval environments
- Integrate APIs across internal tools and systems
- Experiment with emerging frameworks such as OpenClaw and advanced agent orchestration tools
- Rapidly prototype and deploy working solutions into production
- Stay ahead of AI trends and apply them before competitors do
We are not looking for someone to write reports about AI.
We are looking for someone to build systems that improve margin, throughput, and speed., You will work directly with leadership and cross functional teams.
If you build something that works, it will be implemented quickly.
You will have real manufacturing systems, real sales teams, and real operational data to improve.
This is a high autonomy role for someone who does not need hand holding and enjoys building from scratch.
Requirements
You should have hands on experience with:
- Large language models and prompt engineering at an advanced level
- Agent based systems and task orchestration
- Embeddings, vector databases, and retrieval systems
- Python or similar scripting languages
- API integrations and workflow automation
- Cloud and local deployment environments
- Data pipelines and structured data environments
- AI security considerations in business systems
If you have built working AI systems outside of tutorials, we want to talk to you., * Self driven and highly curious
- Comfortable experimenting and shipping fast
- Able to explain complex AI systems in simple terms
- Motivated by building unfair competitive advantage
- Excited by solving real world business problems with AI, We are not looking for surface level familiarity.
Benefits & conditions
Competitive salary plus performance based upside tied to measurable impact.