AI Engineer Apprentice

About Alexander Battery Technologies:

Alexander Battery Technologies (ABT) is a UK-based manufacturer specializing in custom lithium-ion battery packs for OEMs across sectors including e-mobility, medical devices, robotics, tools, and industrial equipment. With over 40 years of experience, ABT provides end-to-end services-from design and prototyping to testing, certification, and high-volume production-delivering more than 15 million battery products worldwide.

About the role:

This is a rare opportunity to join a fast-growing, technology-driven manufacturer at the forefront of advanced battery systems. As our AI Engineering Apprentice, you will help shape the future of how ABT operates embedding AI into real production environments, engineering workflows, customer delivery processes, and the systems that underpin our global operations.

The role combines a degree-level apprenticeship with hands-on work implementing AI automation across the business. You will collaborate with Engineering, Quality, Production, Supply Chain, HR, Project Management, and Commercial teams to design, build, and deploy practical AI solutions that accelerate how ABT works. You will help us automate manual tasks, connect AI agents to our CRM and ERP systems, strengthen customer interactions with data-driven "proof packages," and explore new AI-enabled capabilities that strengthen our position as a UK leader in custom battery technology.

This role is ideal for someone who is already experimenting with LLMs, automation tools, workflow builders, or API-driven AI agents and wants to turn that passion into a world-class career.

Responsibilities:

AI automation & workflow development:

• Build and deploy automations that reduce manual workload across the business (e.g., engineering reporting, quality checks, customer updates, goods-in documentation, production forecasting).
• Create AI workflows that integrate with our CRM and ERP systems (including IFS Cloud), enabling smarter insights, rapid data retrieval, and improved traceability.
• Maintain AI agents that support internal teams, including text-analysis bots, report generators, and knowledge-retrieval tools.

Data engineering & insight generation:

• Clean, structure, and analyse company data to support decision-making.
• Produce "proof packages" for customers data-driven documents that showcase validation results, quality records, traceability, and technical strength.
• Build dashboards and visual analytics tools that help teams understand trends, risks, and opportunities in real time.

Support for engineering, quality, and production:

• Collaborate with Engineering to trial AI in simulation, predictive modelling, test scheduling, and component analysis.
• Work with the Quality team to automate FAI checks, SPC monitoring, supplier performance analysis, and NCR triage.
• Assist Production with digital work instructions, anomaly detection, and AI-supported training materials.

Enterprise-level AI integration:

• Contribute to long-term AI architecture decisions choosing tools, shaping governance, and ensuring safe/auditable AI use.
• Support cybersecurity, compliance, and data-handling standards within AI workflows.
• Help ABT prepare for next-generation technologies such as autonomous testing, generative engineering tools, and vision-enabled defect capture.

Desirable skills:

• Strong analytical and problem-solving capabilities.
• Curiosity and passion for AI, automation, and how technology can improve real-world systems.
• Familiarity with Python, no-code automation platforms, API integrations, or LLM-based tools (OpenAI, Claude, etc.).
• Comfortable working with datasets, spreadsheets, or basic data pipelines.
• Excellent communication skills able to explain complex ideas simply.
• High attention to detail and ownership of tasks from start to finish.
• Experience building AI workflows, chat-based agents, or automation scripts.
• Understanding of ERPs or CRMs (IFS, Salesforce, Hub Spot, Monday, etc.).
• Knowledge of manufacturing, engineering, or electronics (not essential but beneficial).
• Proactive, creative, and self-driven.
• Naturally curious eager to test ideas, learn fast, and iterate.
• Collaborative comfortable working across multiple…