Senior Forward Deployed Engineer – Agentic AI Solutions

Job Description

Lead Forward Deployed Engineer, Italian Speaking | Salesforce

The Tone:
This is a full-time role at Salesforce, located in Italy. Salesforce is the #1 AI CRM, focused on driving customer success with AI agents. This role is for Technical Builders who design, build, and deploy complex agentic AI solutions directly inside enterprise customer environments. You will lead technical delivery, mentor engineers, and set engineering standards for agentic AI deployments at scale.

The TL;DR
• Role: Full Time
• Type: Full Time
• Location: Hybrid – Italy(Lombardia)
• Pay: EUR 70425–EUR 94200 annually
• Team: Partners closely with a Deployment Strategist
• Mission: Design, build, and deploy complex agentic AI solutions for enterprise customers, owning the process from architecture to production.
• Tech Stack: Cursor, Claude, Vibes, LangChain, LlamaIndex, Salesforce Data 360, Snowflake, Databricks, Agentforce, Apex, LWC, Flows, Salesforce APIs

What You’ll Actually Do
• Lead technical solution delivery: Own end-to-end build and deployment of agentic AI solutions for Salesforce’s most strategic customers, from architecture decisions through production handoff.
• Design and implement agentic systems: Ship agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and integration patterns on the Agentforce platform.
• Manage data lifecycle for AI applications: Oversee model design, processing pipelines, and data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms.
• Resolve critical technical blockers: Address complex issues like data integration failures, model deployment problems, orchestration breakdowns, and performance regressions.
• Mentor engineers and codify best practices: Guide developing engineers through code reviews and shared work, and translate real customer patterns into reusable assets and internal frameworks.

The Must-Haves
• Background: Senior level software engineering or technical delivery experience (6+ years) with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments, holding a Computer Science degree or related field.
• Experience: Expertise in Python, JavaScript/TypeScript, Java, or Apex with conversance in others; integrated LLMs into production using frameworks like LangChain or LlamaIndex; deep data modeling, processing, and analytics experience across platforms like Salesforce Data 360, Snowflake, or Databricks; deep Salesforce platform expertise including Agentforce, Apex, LWC, Flows, and APIs. Business level proficiency in Italian and English is required, with approximately 25% travel for customer engagement.
• Skills: An entrepreneurial mindset focused on fast, impactful delivery with good judgment; proven ability to mentor technical talent and create reusable assets like frameworks and playbooks; clear and credible communication with engineering peers, customer architects, and executive stakeholders; active curiosity and experimentation with emerging AI tools and models.
• Bonus: Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect), familiarity with DevOps/CI-CD, observability tooling, or data governance, experience architecting multi-cloud enterprise AI solutions for Global 500 customers, track record of influencing product roadmaps, or open-source contributions/technical publications.