Data & AI Architect

Salesforce; Milano; In loco; EUR 76.000 - 127.000; Tempo pieno

Descrizione del lavoro

Salesforce Italy is seeking an experienced Senior Pre‑Sales Architect to design data, analytics, and AI architectures for enterprise customers. You will lead demonstrations, craft integration strategies with Data Cloud and external agent frameworks, and collaborate with Account Executives and Systems Engineers to deliver value.

You’ll shape governance, lifecycle management, and interoperability across platforms, while communicating complex AI concepts to diverse stakeholders in both Italian and

Competenze

• 7+ years designing data, analytics, and AI architectures in enterprise environments.
• Strong understanding of external agent ecosystems and interoperability.
• Proven experience in prompt engineering and prototype development.
• Experience in AI/ML concepts and ability to communicate value to diverse audiences.
• Deep knowledge of cloud data platforms and data ingestion patterns.
• Hands‑on development with programming languages and data frameworks.
• Excellent communication in Italian and English.
• Curiosity and continuous learning mindset.

Mansioni

• Lead pre-sales technical design by analyzing customer needs and recommending solutions.
• Shape best practices around generative AI, agent interoperability, and integrations.
• Collaborate with AEs and SEs to build hands‑on prototypes and demos.
• Develop thought leadership content and enablement sessions.
• Act as a central technical resource and document best practices.
• Map external agents into Agentforce and design interoperability.
• Enable conversational and background agents with Agentforce Studio.
• Lead prompt engineering and lifecycle strategy.
• Build quick prototypes (<2 weeks) with AEs to demonstrate integration.
• Lead pre‑sales workshops and customer enablement sessions.
• Advise on Data Cloud, APIs, and data integration architectures.
• Support early adoption and post‑sale guidance for customers.
• Own architecture decisions around data modeling and activation strategies.
• Own technical enablement and documentation for internal teams.

Conoscenze

Data architectures

External ecosystems

Prompt engineering

Agent lifecycle

Machine learning basics

Cloud data platforms

Programming

Italian & English

Curiosity & learning

Strumenti

JavaScript

Python

SQL

R

Pandas

Jupyter

Descrizione del lavoro

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Sales

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Responsibilities

• Lead pre-sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks.
• Shape best practices around 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 integrated external agents.
• Develop thought leadership content—demo templates, whitepapers, enablement sessions—focused on agent lifecycle, integration strategy, and technical effectiveness.
• Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization.
• If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you!
• Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate.
• Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs.
• Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement.
• Build Hands‑On Demos & Prototypes - Co-create quick prototypes (<2 weeks) with AEs demonstrating integration between Agentforce and external agents or services.
• Lead Pre‑Sales Workshops - Facilitate whiteboarding, deep‑dive sessions, and quick enablement for customers and internal teams.
• Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies.
• Support Early Adoption - Occasionally assist in proof‑of‑value engagements post‑sale by tuning agents and guiding customers toward self‑sufficient enablement.
• Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real‑time vs. batch patterns, data graph design, and activation strategies within D360.
• Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently.

Required Qualifications

• Technical Pre‑Sales/Consulting - 7+ years of hands‑on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
• External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability.
• Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands‑on prototype development.
• AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.
• Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).
• Hands‑On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter.
• Excellent Communication (in both Italian and English) - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions.
• Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting‑edge technologies.

Preferred Qualifications

• Salesforce Expertise - Hands‑on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.
• Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).
• Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks.
• Cross‑Platform Background - Background in cross‑platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows).
• Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services.
• Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS SageMaker.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Posting Statement

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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is EUR 94,875 to EUR 126,975 annually. Italy CBA (Contratto collettivo nazionale di lavoro del commercio) (01/04/2015 ) Quadri In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.