Senior Solutions Engineer (m/w/d)

Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful. To learn more, visit https://beam.ai/. About the Team Beam’s Solutions team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimisation. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Solutions engineers operate with autonomy, move fast, and shape both how Beam’s platform evolves and how our customers succeed. About the Role As a Senior Solutions Engineer at Beam, you will play a key role in delivering enterprise-grade AI automations tailored to real business processes. You’ll work directly with clients to understand their requirements, break down complex workflows, and design prompt-driven agents that solve high-impact problems. You'll also support integration efforts with client systems and ensure smooth delivery from concept to deployment. We’re looking for someone who thrives in a hands-on, fast-moving environment, with a strong technical foundation, programming skills, a process-oriented mindset, and a passion for AI. You should feel confident working with APIs, designing robust automations, and collaborating across teams to turn business needs into working solutions. If you enjoy working across clients, technology, and automation, and want to build things that work in the real world, this is the role for you. Responsibilities

Your work will involve both prompt engineering excellence and close customer collaboration. You will be expected to:

• Drive the entire lifecycle of AI automation deployment, from understanding customer requirements, through solution design, to hands-on implementation using our no-code Agent OS.
• Engage directly with customers across technical and executive teams, helping them discover automation opportunities and building AI solutions that improve their operations.
• Collaborate closely with product, engineering, and solutions teams to scope, define, and implement new features based on real customer needs.
• Design agentic automations and engineer prompts that are scalable, efficient, and integrate smoothly into customer workflows.
• Stay up to date with the latest advancements in AI and apply them to solve critical business problems and drive new features that impact the future of Beam's AI platform.
• Troubleshoot technical issues and provide guidance to both customers and internal teams throughout the implementation process.
• Act as a strategic technical partner, advising customers on best practices, helping them adopt AI agents, and identifying opportunities for deeper integration.
• Work with client-side and internal technical teams to scope and manage API-based integrations.
• Provide structured feedback from real use cases to help improve our platform.
• Bachelor's or Master’s degree in Computer Science, Engineering, AI, or a related technical field.

At least 5 years of experience in roles like Solution Engineering, IT Consulting, Implementation or Deployment Engineering. Strong hands-on experience with prompt engineering, including writing, testing, and optimizing prompts in a structured way. Programming skills, especially in Python or Node.js. Solid understanding of APIs and how to use them to integrate external systems. Project management experience, able to manage delivery timelines and client expectations. Experience engaging directly with clients, especially around requirement gathering and solution delivery. Analytical and process-driven mindset, able to break down business workflows and think structurally. Excellent communication skills, with the ability to clearly explain technical concepts. Passion for staying up to date with AI trends, tools, and industry developments.

Nice to have:

• Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar.
• Background in AI/ML or experience applying AI to business workflows.
• Experience in fast-paced or startup environments.

At Beam, we’re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We’re thoughtful about what we build, how we work, and who we hire. The problems we’re solving are real. The systems we’re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won’t find rigid hierarchies or endless process here. You’ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.

Our culture is shaped by our values in action:

• AI-native thinking: Every teammate thinks in agentic workflows, uses AI tools daily, and looks for leverage through automation. AI isn’t just what we build, it's how we operate.
• Customer obsession: We build with urgency and empathy, speak to customers early and often, and measure success through their outcomes.
• Speed as a habit: We ship fast, learn faster, and prioritise unblocking over perfection. We favour small experiments with tight feedback loops.
• Leverage-focused execution: We hire high-impact players, invest in the 20% that drives 80% of results, and value candid feedback.
• Highly aligned, loosely coupled: We align on outcomes, not tasks. You’ll work independently, but never in isolation.
• Data-driven, human-guided: We seek clarity over comfort, speak up early, and use feedback to grow together.
• If this sounds like the kind of work you want to do and the kind of team you want to grow with, we’d love to hear from you!