• Act as a senior, hands‑on technical leader and trusted advisor to customers
• Design, validate, and operationalize enterprise‑grade data and AI architectures centered on Salesforce D360 and Agentforce
• Guide Chief Data Officers and Enterprise Architects through emerging AI solutions
• Collaborate with Account Executives and Product teams on scalable, secure solutions integrating D360 with enterprise ecosystems
• Lead pre‑sales technical design and recommend Agentforce‑aligned solutions
• Shape best practices for generative AI, agent interoperability, prompt engineering, Data Cloud, and cross‑platform integrations
• Build hands‑on prototypes and demos with Account Executives and Sales Engineers
• Develop thought leadership content, demo templates, whitepapers, and enablement sessions
• Serve as a central technical knowledge resource and document best practices
• Map and integrate external hyperscaler agents such as Copilot and Gemini into Agentforce using MCP and A2A
• Configure conversational and background agents using Agentforce Studio and Agent Builder
• Design, test,



monitor, and iterate prompts and define agent lifecycle practices
• Co‑create prototypes in under two weeks
• Facilitate customer and internal pre‑sales workshops and technical enablement
• Integrate Data Cloud, CRM, MuleSoft APIs, and external agent endpoints
• Support post‑sale proof‑of‑value engagements by tuning agents and guiding customer enablement
• Oversee D360 data modelling, identity resolution, real‑time versus batch patterns, data graph design, and activation strategies
• Create and manage technical documentation, knowledge bases, and FAQ resources

Requirements
- 7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environments
- Strong understanding of external agent ecosystems and interoperability
- Experience in prompt engineering, agent lifecycle management, and hands‑on prototype development
- Experience with machine learni

📌 Principal AI Architect (Madrid)
🏢 Jobtailor
📍 Madrid