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About the Role
As a Forward Deployment Engineer, you will collaborate directly with enterprise clients to transform intricate business processes into dependable, AI-driven automations. You will manage deployments from the initial discovery phase through to production, which involves understanding client operations, deconstructing complex workflows, designing and configuring AI agents, engineering prompts, coordinating integrations, and refining systems post-launch. This is a hands-on position requiring you to engage in customer discussions, workflow design, prompt engineering, technical implementation, debugging, and collaboration with product and engineering teams. You must be adept at delving into details and ensuring AI systems function reliably in real-world scenarios.
Responsibilities
- Own AI deployments end-to-end, from understanding customer requirements and mapping workflows through solution design, implementation, testing, and production deployment.
- Work directly with customers to understand their business processes, identify high-value automation opportunities, and translate those problems into practical AI agent solutions.
- Design and build agentic workflows using Beam’s Agent OS, including workflow decomposition, agent configuration, prompt engineering, testing, and optimization.
- Build and manage integrations with customer systems, working with APIs and client-side technical teams to connect agents into existing workflows.
- Manage delivery across multiple stakeholders, keeping projects on track while communicating clearly with both technical teams and executive stakeholders.
- Partner closely with product, engineering, and ML teams to surface platform gaps, scope improvements, and turn customer needs into product capabilities.
- Bring customer insights back to Beam, using real deployment experience to improve our platform, workflows, and best practices.
- Act as a technical partner to customers, helping them understand where AI agents can create leverage and advising them on effective approaches to automation.
Requirements
- 2-3 years in a client-facing technical role such as Forward Deployed 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
- Solid API knowledge and integration experience. You're comfortable scoping and coordinating API-based integrations with external systems
- Analytical, process-driven thinking. You can take a messy business workflow, break it into structured components, and design an automation approach
- Background in AI/ML or hands-on experience applying AI to business workflows.
- Experience working in a fast-paced startup environment.
Skills
- Prompt Engineering
- API Integration
- Project Management
- Communication
- Workflow Design
- Agent Configuration
- Technical Implementation
- Debugging
- AI/ML
Experience Level
- 2-3 years
About the Company
- Beam AI builds self-learning AI agents and an operating system where intelligence grows through autonomous discovery.
- We transform enterprises from AI-curious to AI-native organizations 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.
- Our culture is shaped by our values in action: We think in agentic workflows, uses AI tools daily, and looks for leverage through automation.
- We ship fast, learn faster, and favour experimentation over perfection.
- We invest in high-impact work and value ownership.
- We align on outcomes while giving people autonomy.
- We seek clarity, welcome feedback, and continuously improve.