Agentforce and Data Cloud Architect (AFDC Architect)

Salesforce; Milano; In loco; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading cloud technology company based in Milan is searching for an experienced Agentforce and Data Cloud Architect. This pivotal role involves guiding customers through their transformation using Data and AI while leading both pre-sales and post-sales activities. Candidates should possess at least 5 years of customer-facing technical experience, along with proficiency in Salesforce Data Cloud and a strong understanding of data integration patterns. A passion for innovation and AI is essential for success in this position.

Competenze

• 5+ years of experience in a customer-facing technical role, preferably in the Salesforce ecosystem.
• Hands-on experience with Salesforce Data Cloud, including data modeling and ingestion.
• Ability to lead workshops, demos, and POCs.

Mansioni

• Engage with the sales team on strategic accounts and design solutions.
• Lead workshops and deliver customized demos.
• Guide customers from POC to production deployment.

Conoscenze

5+ years of experience in a customer-facing technical role

Hands-on experience with Salesforce Data Cloud

Demonstrated ability to lead technical pre-sales cycles

Strong understanding of data integration patterns

Excellent communication and presentation skills

Passion for innovation and curiosity for AI

Willingness to complete a mandatory training program

Fluency in English

Strumenti

Data architecture

Salesforce tools

AWS

Azure

GCP

Databricks

Snowflake

Descrizione del lavoro

Overview

Agentforce and Data Cloud Architect (AFDC Architect) role at Salesforce. Agentforce is the future of AI, and you are the future of Salesforce.

Role Description

The Agentforce and Data Cloud Architect (AFDC Architect) is a pivotal, customer-facing role focused on enabling customers to become a true Agentic Enterprise. You will guide transformation by mastering Data and AI as the Subject Matter Expert (SME) for Agentforce and Data Cloud. Depending on your background, you may specialize in Data Cloud, Agentforce, or both, and engage across the full customer lifecycle from activation in production to maximizing consumption and identifying innovative use cases.

Your engagement includes hands-on activities such as leading technical presales POCs and serving as a trusted advisor to drive adoption and value realization.

Responsibilities

Pre-Sales Responsibilities

• Strategic Deal Support: Engage with the sales team on strategic accounts; lead technical discovery, design, and presentation of Agentforce and Data Cloud solutions.
• Workshops & POCs: Define customer use cases and deliver 1:1 workshops, customized demos, and hands-on POCs/Pilots.
• Solution Architecture & Recommendations: Develop data architectures, provide SKU recommendations, and define credit consumption estimations.
• Expert Collaboration: Serve as the deep product expert for Agentforce & Data Cloud; partner with global AI & Data teams.
• Product Roadmap Advocacy: Provide customers with roadmap insights and feedback to product strategy.
• Post-Sales Handover: Create and deliver comprehensive handover documentation to ensure a seamless transition to post-sales and implementation teams.

Post-Sales Responsibilities

• Production Activation & Go-Live: Guide customers from a successful POC to production deployment; provide hands-on support to unblock challenges; collaborate with implementation partners, Salesforce Professional Services, or the customer’s Center of Excellence.
• Performance & Consumption Monitoring: Monitor initial credit consumption and fine-tune solutions; guide updates to the consumption plan.
• Customer Enablement: Deliver one-to-many customer support motions (webinars, office hours) to scale knowledge.
• Partner Ecosystem Scaling: Enable strategic partners to build expertise and scale activation across the ecosystem.
• Strategic Handoff: Manage the transition to other internal teams to ensure long-term customer success.

Required Qualifications & Skills

• 5+ years of experience in a customer-facing technical role (e.g., Solution Architect, Sales Engineer, or Technical Architect). Salesforce ecosystem experience is a plus.
• Hands-on experience with Salesforce Data Cloud (data modeling, ingestion, identity resolution).
• Demonstrated ability to lead technical pre-sales cycles (workshops, demos, POCs).
• Strong understanding of data integration patterns, APIs, and data governance principles.
• Excellent communication, presentation, and stakeholder management skills.
• A passion for innovation and curiosity for AI and business automation.
• Willingness to complete a mandatory 6-week intensive training program with Forward Deployed Engineers.
• Fluency in English.

Preferred Qualifications, Skills & Certifications

• Experience with AI concepts and technologies: LLMs, transformers, tokens, RAG, vector databases, prompt engineering; familiarity with major clouds and their AI services; agentic planning & reasoning; multi-agent design.
• Big Data Processing, Data Architecture & Modeling; familiarity with AWS, Azure, GCP and Databricks or Snowflake.
• Certifications: Salesforce Agentblazer Legend Status (including AI Specialist) and Data Cloud Consultant certification.

Join Us at Salesforce

We are an equal opportunity employer and value diversity. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you are a dynamic architect who thrives on bridging the gap between sales and delivery, and you want to be on the front line of our strategic shift to a consumption model, apply. A panel interview is a required step for this strategic role.

Accommodations: If you require assistance due to a disability applying for open positions, please submit a request via the Accommodations Request Form.

Posting Statement: Salesforce is an equal opportunity employer with a policy of non-discrimination. All applicants are assessed on merit, competence and qualifications without regard to protected characteristics.