Data & AI Architect

Overview

As an AI and Data Technical Architect, you will lead the design and deployment of enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. You will guide customers through complex integrations, collaborating with sales and product teams to maximize platform value. You’ll shape best practices in generative AI, agent interoperability, and data integration across hyperscalers and governance frameworks. This is a high-impact, hands-on technical leadership role at the heart of Salesforce’s AI-driven transformation.

Retribuzione / Benefits incentive component

balance and wellbeing resources

Responsabilità Lead pre-sales technical design by assessing customer needs and recommending Agentforce-aligned solutions

Shape best practices for generative AI, agent interoperability, prompt engineering, Data Cloud, and cross-platform integrations

Collaborate with AEs and SEs to build hands-on prototypes and demos using Agentforce and external agents

Develop thought leadership content (demo templates, whitepapers, enablement sessions) on agent lifecycle and integration strategy

Act as a central technical knowledge resource, enabling specialist teams and documenting best practices

Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A)

Configure chat and background agents with Agentforce Studio and Agent Builder; integrate with hyperscaler channels via APIs

Lead prompt design, testing, monitoring, and lifecycle strategy for agent lifecycle best practices

Create quick prototypes ( Facilitate pre-sales workshops and deep-dive sessions for customers and internal teams

Advise on Data Cloud (D360), CRM, MuleSoft APIs, and external endpoints ensuring cohesive, compliant architectures

Assist in early value engagements post-sale by tuning agents and guiding self-sufficient enablement

Oversee data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation within D360

Create and manage accessible technical documentation, knowledge bases, and FAQs to empower teams

Requisiti fondamentali 7+ years designing and delivering data, analytics, and AI architectures in enterprise environments

Strong understanding of external agent ecosystems and interoperability

Proven track record in prompt engineering, agent lifecycle management, and hands-on prototype development

Experience with machine learning concepts (predictive and generative AI) and ability to communicate value to diverse audiences

Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC)

Proficiency in programming (JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter

Excellent communication in Italian and English, with strong presentation skills

Curiosity and willingness to learn new AI frameworks and technologies

strong communication

curiosity

team collaboration

Data architecture design

AI and ML concepts (predictive and generative)

Data cloud platforms (Snowflake, Databricks, BigQuery, Redshift)