AI Data Integration Engineer — Secure AI Pipelines

Plessey Semiconductors Ltd; Devon and Torbay; On-site; GBP 65,000 - 85,000; Full time

Job summary

Plessey Semiconductors Ltd in the United Kingdom is seeking an AI Data & Integration Engineer to connect Plessey’s data and systems to AI, enabling secure, efficient access for AI agents. You will build pipelines turning factory and engineering data into agent-ready formats, design cost-aware, auditable connections, and test them with real tasks, delivering measurable productivity gains.

Reporting to the Lead AI Solutions Engineer, you’ll collaborate with IT, data owners and operations to ensure

Qualifications

• Proven Python software engineering experience with APIs, services and data pipelines.

Responsibilities

• Map data sources, owners, structure and access rights for agent use.
• Build pipelines turning raw fab data into agent-ready data: tool logs, recipes, SPC, metrology, test and inspection data.
• Develop and own connectors enabling AI agents to access MES, M365, engineering file shares, tool and process data, and business systems.
• Design easy-to-understand, cost-efficient data connections ready for long-running, multi-step tasks.
• Validate connections with real agents and tasks, monitor performance, accuracy, and cost in production.
• Ensure data access is secure, auditable, and compliant with privacy/IP requirements.
• Collaborate with production, engineering, quality, IT and vendors to translate needs into measurable data connections.

Skills

Python

APIs & pipelines

Databases & big data

LLM tooling

LLM evaluation

Token efficiency

AWS & containers

IAM & security

Cross-functional collaboration

Tools

MES data warehouse

Microsoft 365

Job description

Plessey Semiconductors Ltd in the United Kingdom is seeking an AI Data & Integration Engineer to connect Plessey’s data and systems to AI, enabling secure, efficient access for AI agents. You will build pipelines turning factory and engineering data into agent-ready formats, design cost-aware, auditable connections, and test them with real tasks, delivering measurable productivity gains.

Reporting to the Lead AI Solutions Engineer, you’ll collaborate with IT, data owners and operations to ensure