AI Use Case Developer

AI Use Case Developer at Fluence Energy, based in Arlington, VA (onsite), designs and configures AI agents, prototypes automation workflows, and delivers Salesforce and Gong integrations to automate commercial operations. The role emphasizes rapid proofs-of-concept, governance, and collaboration with Sales and Marketing.

Responsibilities

• Design, configure, and refine Agentforce agents for Sales use cases such as account briefs, proposal support, and next-best-action recommendations
• Build and maintain Salesforce Flow automations that reduce manual handoffs, enforce lifecycle rules, and surface timely signals to reps and managers
• Prototype rapid AI and automation proofs-of-concept for stakeholder review, targeting a turnaround of one to three days per prototype
• Support third-party implementation partners on AI-adjacent decisions, serving as the business-side AI authority during platform builds
• Create adoption aids and internal tooling including prompt guides, workflow reference materials, quick-start assistants, and in-platform help content
• Evaluate new LLM and agent capabilities continuously and translate them into practical, governed, high-value business improvements
• Collaborate with IT on security reviews, data access governance, and production deployment of all AI-powered workflows
• Partner with Sales and Marketing in discovery sessions to define automation requirements and validate that shipped solutions align with real workflows

Requirements

• 3+ years of hands-on experience with Salesforce automation, including Salesforce Flow, Process Builder, or equivalent declarative tools
• Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks — you have built agents or automated workflows using language models
• Proven ability to deliver working prototypes rapidly from a standing start; a portfolio of shipped work matters more than certifications
• Comfortable working directly and frequently with non-technical commercial stakeholders to define requirements and validate solutions
• Strong understanding of B2B commercial workflows: lead lifecycle, opportunity management, pipeline reporting, and proposal processes
• Solid grasp of data security and governance principles relevant to AI systems, including prompt injection risks, data access scoping, and audit logging

Technologies

• Agentforce, Gong, Salesforce Flow, Process Builder, Salesforce, Einstein Copilot, Demandbase, LLM APIs