AI Data & Integration Engineer

Plessey; Plymouth; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Pension scheme

Private medical & dental insurance

28 days' holiday + bank holidays

Free onsite meals

Onsite gym

Relocation support

Visa support available

Job summary

Plessey in Plymouth is seeking an AI Data & Integration Engineer to connect our data and systems to AI, enabling secure, scalable access for production, engineering and business teams.

You will design pipelines, build MCP-enabled connectors, and ensure data is structured, governed and ready for AI agents to deliver measurable productivity gains.

The role reports to the Lead AI Solutions Engineer and partners with IT, data owners and operations to turn real needs into reliable data access.

Qualifications

• Strong software engineering in Python with production experience of APIs, services and data pipelines.
• Experience with databases and large, complex datasets.
• Understanding of how LLM agents use tools and what makes a tool easy or hard for an agent to use.

Responsibilities

• Map data sources, owners, structure, quality and access controls.
• Build pipelines to turn raw fab data into agent-ready data: tool logs, recipes, SPC, metrology, test data.
• Design and own connectors enabling AI agents to access data and systems (MCP).
• Ensure cost-efficient, scalable connections ready for multi-step and event-driven work.
• Test connections with real agents on real tasks and monitor production without impacting sources.
• Secure access with least privilege, audit trails and data protection.

Skills

AI

Python

APIs

Data pipelines

LLM tool use

LLM testing

Token efficiency

AWS

Containers

IAM/Access control

Security & privacy

Data understanding

Tools

MCP (Model Context Protocol)

MES data warehouse

Microsoft 365

Job description

AI Data & Integration Engineer

Department: Engineering

Employment Type: Full Time

Location: Plymouth

Description

We are seeking an AI Data & Integration Engineer to connect Plessey's data and systems to AI. The company operates an advanced compound semiconductor fab and develops complex MicroLED display and optical interconnect technologies. This role will give AI agents secure, efficient and reliable access to data from across the business, including manufacturing, engineering, quality and business systems, so they can deliver real outcomes.

The successful candidate will combine strong data and software engineering skills with a deep understanding of how AI agents use tools and data. They will build the connections, shape the data so agents use it well, and prove through testing that agents can complete real work with it.

Success in this role will be demonstrated by AI agents that answer questions and complete tasks accurately and efficiently using Plessey's data. This will include clear evidence of faster access to information, less time spent gathering and analysing data, and measurable productivity gains across fab operations, engineering and business functions.

The role reports to the Lead AI Solutions Engineer and works closely with IT, data owners and teams across the business. As AI agents take on longer-running and more complex work, this role will make sure Plessey's data is ready for them: secure, well structured and efficient to use.

Key Responsibilities

• Map Plessey's data sources with their owners: structure, quality, sensitivity and who should see what.
• Build pipelines that turn raw fab data into agent-ready data: tool logs, recipes, statistical process control, metrology, test and inspection data.
• Build and own the connectors that give AI agents access to company data and systems, using the Model Context Protocol (MCP). These include the Manufacturing Execution System (MES) data warehouse, Microsoft 365, engineering file shares, tool and process data, and business systems.
• Design connections that agents can use effectively and efficiently: easy to find and understand, economical with tokens and cost, and ready for longer-running, multi-step and event-driven work.
• Prove every connection works by testing it with real agents on real Plessey tasks, measuring accuracy and cost, and monitoring it in production without degrading source systems.
• Secure every connection so people only reach data they’re already entitled to. Protect personal, commercially sensitive and IP data, guard against AI-specific risks such as prompt injection, and keep full audit trails.
• Work with production, engineering, quality and business teams, IT, data owners and vendors to turn real needs into documented connections that deliver measurable gains.

Skills, Knowledge and Expertise

• Fully committed to AI: uses AI tools every day, keeps pace with the latest models and agent capabilities, and believes in a future where AI is part of everything we do.
• Strong software engineering in Python, with production experience of APIs, services and data pipelines.
• Strong experience working with databases and large, complex datasets.
• Good understanding of how LLM agents use tools, and what makes a tool easy or hard for an agent to use.
• Experience testing or evaluating LLM systems for accuracy, reliability and cost.
• Practical knowledge of token efficiency in LLM systems.
• Experience with AWS (or a comparable cloud), containers and infrastructure as code.
• Understanding of identity and access control: OAuth 2.0, single sign-on, least privilege.
• A disciplined approach to security, privacy and safe access to production systems.
• Ability to work with engineers, operators and managers to understand what they need from their data.

Advantage

• Experience building Model Context Protocol servers or tools for AI agents. Experience with Amazon Bedrock or Anthropics Claude models and agent tooling.
• Experience with semiconductor, photonics or advanced manufacturing data, Manufacturing Execution Systems, statistical process control, yield or equipment data.
• Experience with big data platforms and tools, such as data lakes, data warehouses and distributed processing.
• Experience with event-driven systems and observability tools.
• Experience in a secure, IP-sensitive environment, including Data Protection Impact Assessments and information security reviews.

Benefits

• Pension scheme
• Private medical & dental insurance
• 28 days' holiday + bank holidays
• Free onsite meals
• Onsite gym
• Relocation support
• Visa support available