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

About the Role

As a Senior AI Agent 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.

What You'll Do

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

• Partner with enterprise customers to identify automation opportunities, gather requirements, and translate business problems into agent-powered solutions
• Design and build agentic automations using Beam's Agent OS. This includes scoping workflows, engineering prompts, and configuring integrations
• Manage delivery end-to-end: timelines, client expectations, and stakeholder communication across technical and executive audiences
• Troubleshoot and iterate on live automations by diagnosing issues, refining prompts, and improving performance
• Collaborate with product and engineering to scope features, surface platform gaps, and feed customer insights back into the roadmap
• Act as a strategic advisor to clients on AI adoption, workflow automation best practices, and integration architecture

Requirements

• 2-3 years in a client-facing technical role such as Solutions Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similar
• Strong project management and communication skills. You can run delivery timelines, manage client expectations, and explain technical concepts clearly to both engineers and executives
• Demonstrated prompt engineering expertise. You've systematically written, tested, and optimized prompts in production or near-production settings