The Role
Build secure, efficient data pipelines and Model Context Protocol connectors that enable AI agents to access and use manufacturing, engineering, quality, and business data. Test and evaluate agents for accuracy, reliability, token efficiency, and cost; implement access controls, privacy protections, audit trails, monitoring, and production observability. Collaborate with IT, data owners, vendors, and business teams to deliver measurable productivity improvements.
Summary Generated by Built In
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 Anthropic’s 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
About
About PlesseyWe’re building the hardware foundation for next-era computing.Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays and optical interconnects.Join us to work on breakthrough technologies shaping the future of light-based technology and computing.LeadWe don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing.GrowWe expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology.TrustWe operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact.
Skills Required
- Strong software engineering experience in Python
- Production experience with APIs, services, and data pipelines
- Strong experience with databases and large, complex datasets
- Understanding of how LLM agents use tools
- 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
- Experience with containers and infrastructure as code
- Understanding of OAuth 2.0, single sign-on, identity, and access control
- Knowledge of security, privacy, and safe access to production systems
- Ability to collaborate with engineers, operators, managers, IT, data owners, and vendors
- Experience building Model Context Protocol servers or tools for AI agents
- Experience with Amazon Bedrock, Anthropic Claude models, or agent tooling
- Experience with semiconductor, photonics, or advanced manufacturing data
- Experience with Manufacturing Execution Systems, statistical process control, yield, or equipment data
- Experience with data lakes, data warehouses, and distributed processing
- Experience with event-driven systems and observability tools
- Experience in secure, IP-sensitive environments, including Data Protection Impact Assessments and information security reviews
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The Company
What We Do
Plessey is a UK-based technology company specializing in the design and manufacturing of advanced microLED display solutions. They utilize a proprietary GaN-on-Silicon platform to produce high-performance, high-density RGB pixel arrays for applications in Augmented Reality (AR), Virtual Reality (VR), and other head-mounted display systems. The company operates integrated manufacturing facilities in Plymouth, England, focusing on the next generation of photonic technologies for computing and display engines.
