Senior Solutions Engineer

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 AI Agent Deployment 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 optimization. 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 Deployment 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, you'll sit at the intersection of AI, product, and customer success. You own the full lifecycle of automation delivery, from discovery through deployment, working directly with enterprise clients to turn complex workflows into scalable, AI-powered solutions using Beam's Agent OS.

This is a high-context, high-ownership role. You'll spend your time in client conversations, prompt engineering, workflow decomposition, integration planning, and close collaboration with product and engineering. You'll shape not just individual client outcomes but the platform itself through structured feedback from the field.

Responsibilities

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