- 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 resourcesRequirements7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environmentsStrong understanding of external agent ecosystems and interoperabilityExperience in prompt engineering,



agent lifecycle management, and hands‑on prototype developmentExperience with machine learning concepts, including predictive and generative AIDeep expertise in Snowflake, Databricks, BigQuery, Redshift, and data ingestion patterns including batch, streaming, and CDCProficiency in JavaScript, Python, SQL, or RExperience with pandas or JupyterExcellent presentation and communication skillsStrong communication skills in both Spanish and EnglishPassion for exploring new AI frameworks and cutting‑edge technologiesSalesforce Agentforce, D360, and core Salesforce platform services experience preferredExperience integrating Salesforce with external agents via APIs, MCP, and A2A preferredFamiliarity with prompt governance, observability, and monitoring frameworks preferredExperience with cross‑platform integrations preferredExposure to conversational voice pipelines or multimodal integrations preferredExposure 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 keywordsSalesforce D360AgentforceData Cloud IntegrationPrompt EngineeringMachine Learning ConceptsATS Optimization KeywordsHard SkillsData Architecture DesignAI Architecture DeliveryPrototype DevelopmentData Ingestion PatternsJavaScriptPythonSQLRSnowflakeDatabricksSoft SkillsExcellent Presentation SkillsStrong Communication SkillsIndustry KeywordsGenerative AIAgent InteroperabilityCross‑Platform IntegrationsConversational Voice PipelinesMultimodal IntegrationsTools & TechnologiesMuleSoft APIsJupyterTensorFlowPyTorchGoogle Vertex AIAWS Sagemaker#J-18808-Ljbffr

📌 Ai Architect (Agentic Ai) (Madrid)
🏢 Alvarez And Marsal
📍 Madrid