- 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 resourcesRequirements- 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 preferredCore CompetenciesDemonstrates 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 ConceptsATS Optimization KeywordsHard Skills- Data Architecture Design- AI Architecture Delivery- Prototype Development- Data Ingestion Patterns- JavaScript- Python- SQL- R- Snowflake- DatabricksSoft Skills- Excellent Presentation Skills- Strong Communication SkillsIndustry Keywords- Generative AI- Agent Interoperability- Cross‑Platform Integrations- Conversational Voice Pipelines- Multimodal IntegrationsTools & Technologies- MuleSoft APIs- Jupyter- TensorFlow- PyTorch- Google Vertex AI- AWS Sagemaker#J-18808-Ljbffr

📌 Principal Ai Architect (Madrid)
🏢 Jobtailor
📍 Madrid