- Act as a senior, hands‑on technical leader and trusted advisor to customers
Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación.
- 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

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- 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. xhfqzwm 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

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- Data Architecture Design

- AI Architecture Delivery

- Prototype Development

- Data Ingestion Patterns

- JavaScript

- Python

- SQL

- R

- Snowflake

- Databricks

Soft Skills

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- Excellent Presentation Skills

- Strong Communication Skills

Industry Keywords

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- Generative AI

- Agent Interoperability

- Cross‑Platform Integrations

- Conversational Voice Pipelines

- Multimodal Integrations

Tools & Technologies

-

- MuleSoft APIs

- Jupyter

- TensorFlow

- PyTorch

- Google Vertex AI

- AWS Sagemaker

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📌 Principal Ai Architect (Madrid)
🏢 Jobtailor
📍 Madrid