Lead, AI & Automation
About The Position
Berlin Packaging is seeking a hands-on technical lead to drive enterprise AI and automation initiatives. The role architects, builds, and delivers solutions such as intelligent workflows, LLM-powered applications, system integrations, and data pipelines for internal and external audiences. The lead sets technical direction while remaining involved in implementation and is accountable for production delivery and business impact. Working with product leaders and a small team of onshore and offshore engineers, the Lead identifies and prioritizes opportunities, translates business needs into technical solutions, and oversees the full delivery lifecycle. The role also establishes engineering standards, guides the team, and communicates outcomes to stakeholders. Candidates must have independent, unrestricted authorization to work in the United States for the full duration of employment; the position is not eligible for employment-based immigration sponsorship.
Requirements
- At least 8 years of hands-on software development experience, with significant depth in AI/ML, intelligent automation, or related disciplines.
- Proven record of delivering production AI and automation solutions in complex enterprise environments, rather than only proofs of concept.
- Strong proficiency in Python and/or JavaScript/TypeScript.
- Fluency with REST APIs, microservices, and cloud platforms such as AWS, Azure, or GCP.
- Deep hands-on experience integrating LLMs, including prompt engineering and agentic workflow design.
- Working knowledge of RPA platforms such as UiPath or Power Automate and workflow orchestration tools.
- Strong understanding of enterprise system integration patterns, data pipelines, and API-driven connectivity.
- Experience leading or technically directing a small engineering team, including offshore or distributed members.
- Ability to earn business stakeholders’ trust and explain the value of technical work in plain language.
- Independent, unrestricted authorization to work in the United States for the full duration of employment; employment-based immigration sponsorship is unavailable.
Nice To Haves
- 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 AI or automation context.
- Familiarity with Agile or lightweight delivery frameworks suited to small, fast-moving teams.
- Exposure to MLOps practices, including model deployment, versioning, monitoring, and lifecycle management.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Responsibilities
- Architect and develop AI and automation solutions across the enterprise, including intelligent workflows, LLM-powered applications, system integrations, and data pipelines.
- Evaluate and implement tools and platforms appropriate to each use case.
- Prototype solutions, validate them with stakeholders, and iterate based on real-world feedback.
- Own requirements, development, testing, deployment, and ongoing improvement throughout the delivery lifecycle.
- Establish architectural standards and engineering practices for scalable, maintainable, production-grade solutions.
- 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 roadmap balancing near-term results with longer-term capability building.
- Communicate outcomes in business terms and keep stakeholders informed.
- Provide technical direction and hands-on guidance to a small onshore and offshore engineering team.
- Set expectations, review work, and maintain team quality and delivery velocity.
- Foster a collaborative, high-accountability environment and support engineer growth.
- Develop documentation, standards, and practices that keep the team aligned and the codebase healthy.
Benefits
- Competitive PTO including vacation, personal days, holidays, and sick time.
- 1Berlin Shared Ownership Plan.
- Profit sharing.
- 401(k) with company match.
- Medical, dental, and vision insurance.
- Health Savings Account (HSA).
- Flexible spending accounts (FSAs) for transportation, medical, and dependent care expenses.
- Paid parental leave for up to 12 weeks.
- Health club reimbursement.
- Tuition reimbursement.
- 529 college savings plan.
- Employee Assistance Program for mental health and well-being.
- Calm app to improve mental wellbeing.
- Employee referral program.
- Company-sponsored short- and long-term disability and life insurance, with optional voluntary life insurance.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
