A SaaS? platform for configuring, testing, and deploying AI agents directly into enterprise customer workflows.
Added Jun 5, 2026
High opportunity (76%)
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Companies are hiring specialists to translate customer workflows, pain points, and requirements into production-grade AI agents. The work is repetitive but difficult: teams must gather customer context, configure prompts and workflows, tune behavior, integrate with existing systems, and prove measurable impact.
The product provides a guided workspace for mapping customer workflows, defining agent tasks, configuring prompts, testing behavior, and packaging agents for deployment into existing enterprise systems. It also captures deployment patterns and structured customer feedback so product and engineering teams can reuse successful agent configurations across accounts.
Multiple companies are staffing roles focused on building enterprise-quality AI agents inside customer workflows, suggesting demand has moved from experimentation to repeatable deployment. The rise of production AI agents creates a need for operational tooling beyond ad hoc consulting and custom engineering.
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SAP's Autonomous Enterprise is an AI-native operating model where governed AI agents orchestrate end-to-end business processes, with humans setting direction and AI executing the work. It provides the Business AI Platform to Build, Run, and Engage business agents. Over 200 specialized agents across finance, supply chain, HR, and more have been deployed. SAP’s Joule Studio, the AI-first development environment, empowers teams to build custom agents using no-code, low-code, or pro-code approaches,
You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.
Lead end-to-end workflow design and build – guiding customers through deep discovery and process mapping, hands-on workflow configuration, and user acceptance testing to deliver production-ready workflows with AI capabilities embedded throughout.
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