• 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 learning concepts, including predictive and generative AI
- Deep expertise in Snowflake, Databricks, BigQuery, Redshift, and data ingestion patterns including batch, streaming, and CDC
- Proficiency in JavaScript, Python, SQL, or R
- Experience with pandas or Jupyter
- Excellent presentation and communication skills
- Strong communication skills in both Spanish and English
- Passion for exploring new AI frameworks and cutting‑edge technologies
- Salesforce Agentforce, D360, and core Salesforce platform services experience preferred
- Experience integrating Salesforce with external agents via APIs, MCP, and A2A preferred
- Familiarity with prompt governance, observability, and monitoring frameworks preferred
- Experience with cross‑platform integrations preferred
- Exposure to conversational voice pipelines or multimodal integrations preferred
- Exposure to TensorFlow, PyTorch, MLOps, Google Vertex AI, or AWS Sagemaker preferred

Core Competencies

Demonstrates extensive experience in designing and operationalizing enterprise‑grade data and AI architectures, with a strong focus on Salesforce D360 and Agentforce. Proficient in prompt engineering, agent lifecycle management, and integrating external agent ecosystems.

Highest‑signal resume keywords

- Salesforce D360
- Agentforce
- Data Cloud Integration
- Prompt Engineering
- Machine Learning Concepts

ATS Optimization Keywords

Hard Skills

- Data Architecture Design
- AI Architecture Delivery
- Prototype Development
- Data Ingestion Patterns
- JavaScript
- Python
- SQL
- R
- Snowflake
- Databricks

Soft Skills

- Excellent Presentation Skills
- Strong Communication Skills

Industry Keywords

- Generative AI
- Agent Interoperability
- Cross‑Platform Integrations
- Conversational Voice Pipelines
- Multimodal Integrations

Tools & Technologies

- MuleSoft APIs
- Jupyter
- TensorFlow
- PyTorch
- Google Vertex AI
- AWS Sagemaker

#J-18808-Ljbffr

📌 Principal AI Architect (Madrid)
🏢 Jobtailor
📍 Madrid