Lead, AI & Automation

Berlin Packaging has been investing in technology across the enterprise, and this role leads the charge on AI and automation. As our AI & Automation Lead, you will have direct empowerment to identify, design, and build solutions that drive real operational impact — spanning intelligent workflows, process automation, and AI-powered applications across the enterprise.

This is a hands-on technical lead role. You will be the primary architect and practitioner, working alongside a small team of onshore and offshore engineers to deliver end-to-end applications to our internal and external audiences. You set the technical direction, you stay close to the code, and you're accountable for what ships.

The ideal candidate has done this before. You know how to navigate a complex enterprise environment, earn trust quickly, and deliver working solutions that create real business value — without waiting to be told exactly how.

What You'll Do

Design & Build AI-Powered Solutions

• Architect and develop AI and automation solutions across the enterprise — from intelligent workflows and LLM-powered applications to system integrations and data pipelines
• Evaluate and implement the right tools and platforms for each use case, drawing on a broad command of the AI and automation landscape
• Prototype rapidly, validate with stakeholders, and ship — iterating quickly based on real-world feedback
• Own the full delivery lifecycle: requirements, development, testing, deployment, and ongoing improvement
• Set the architectural standards and engineering practices that ensure solutions are scalable, maintainable, and production-grade

Drive Business Impact

• Partner with product leaders to identify and prioritize automation opportunities with clear ROI
• Translate business problems into well-scoped technical solutions — and deliver them without heavy oversight
• Maintain a forward-looking roadmap that balances near-term wins with longer-term capability building
• Communicate outcomes in business terms, keeping stakeholders informed and confident in the work

Lead the Team

• Provide technical direction and hands-on guidance to a small team of onshore and offshore engineers
• Set clear expectations, review work, and maintain quality and velocity across the team
• Foster a collaborative, high-accountability environment where engineers grow and delivery stays on track
• Build the documentation, standards, and practices that keep the team aligned and the codebase healthy

Required Qualifications

• 5+ years of hands-on software development experience, with significant depth in AI/ML, intelligent automation, or related disciplines
• A proven practitioner — you have a track record of delivering production AI and automation solutions in complex enterprise environments, not just proofs of concept
• Strong proficiency in Python and/or JavaScript/TypeScript; fluency with REST APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
• Deep hands-on experience with LLM integration (OpenAI, Anthropic, Azure OpenAI, or similar), including prompt engineering and agentic workflow design
• Working knowledge of RPA platforms (UiPath, Power Automate, or similar) and workflow orchestration tools
• Strong grasp of enterprise system integration patterns, data pipelines, and API-driven connectivity
• Experience leading or technically directing a small team of engineers, including offshore or distributed team members
• Credible with business stakeholders; able to earn trust quickly and communicate the value of technical work in plain language

Preferred Qualifications

• Experience in manufacturing, distribution, supply chain, or packaging industries
• Hands-on experience with Power Automate, Azure OpenAI, Salesforce AgentForce, or other enterprise platforms in an automation/AI context
• Familiarity with Agile or lightweight delivery frameworks suited to small, fast-moving teams
• Exposure to MLOps practices: model deployment, versioning, monitoring, and lifecycle management
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)