Description
About Beck & Pollitzer
In 1863, Sigismund Pollitzer and John Beck established Beck & Pollitzer as a general carrier and warehousing company. Today, the organization is the world’s leading provider of industrial installation and relocation services. Beck & Pollitzer’s customers mostly comprises multi-national enterprises and OEMs. Whether the customer is a small company developing new technologies or an industrial giant, Beck & Pollitzer can help with all machine installation and relocation needs.
Beck & Pollitzer is a multinational engineering services group delivering complex process line installations, relocations, and industrial engineering projects across 15 countries. The Group operates in highly technical, safety-critical, and data-rich environments, supporting global industrial clients in sectors such as automotive, advanced manufacturing, and heavy industry.
As part of the Group’s digital transformation agenda, Beck & Pollitzer is accelerating the structured and responsible adoption of Artificial Intelligence to improve operational efficiency, decision-making, and internal service delivery across functions and geographies.
Beck & Pollitzer generates revenues of over £170 millions and is privately owned and currently backed by Graphite Capital, a leading London-based private equity investor.
Purpose of the Position
The AI Solutions & Automation Specialist will act as the Group’s internal AI expert, responsible for designing, developing, and scaling practical AI-driven solutions that streamline administrative and operational processes, and enhance data-driven decision-making.
The role will combine hands-on technical delivery with coordination and enablement responsibilities, working closely with a distributed network of AI-focused employees across the Group to identify, prioritise, and implement high-value AI use cases.
Key Responsibilities
• AI Ecosystem & Technology Selection
o Lead the evaluation and selection of AI platforms, tools, and external providers (including LLMs, automation platforms, analytics tools, and development frameworks).
o Design and help implement a secure and compliant AI development environment aligned with IT, cybersecurity, and data protection requirements.
o Ensure solutions comply with relevant UK, EU, and client-specific data protection and confidentiality standards.
• AI Strategy & Use Case Development
o Identify, assess, and prioritise AI use cases across corporate and operational functions (e.g. finance, HR, operations, project delivery, commercial, and executive reporting).
o Translate business problems into clear AI solution designs, with a strong focus on measurable efficiency, quality, and decision-support outcomes.
o Support the Group Head of IT and executive leadership in shaping a pragmatic and scalable AI roadmap aligned with Beck & Pollitzer’s operational realities.
• AI Agent & Application Development
o Design, build, and deploy AI agents and automation solutions to streamline administrative workflows, reporting processes, and knowledge management.
o Develop AI-driven analytics and decision-support tools that leverage internal company data (structured and unstructured) to support management insight and operational control.
o Ensure solutions are robust, maintainable, and appropriately documented for enterprise use.
• Data Analysis & Decision Support
o Work with business stakeholders to define relevant datasets, KPIs, and analytical models.
o Develop AI-enabled tools to analyse project, financial, operational, and performance data to support executive and management decision-making.
o Promote best practices in data quality, data governance, and responsible AI usage.
• Community Leadership & Enablement
o Act as technical lead for a cross-functional AI community of 6–10 employees across different countries and functions.
o Facilitate workshops, knowledge-sharing sessions, and hands-on collaboration to develop AI capabilities and use cases across the Group.
o Provide technical guidance, mentoring, and quality assurance for AI initiatives developed by the wider AI community.
• Governance & Risk Management
o Contribute to the definition of internal AI governance frameworks, usage guidelines, and risk controls.
o Ensure AI solutions are developed and deployed responsibly, with appropriate controls around data usage, security, explainability, and auditability.