Forward Deployed Engineer, Italian Speaking

Salesforce is hiring Forward Deployed Engineers — the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership:Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering:Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence:Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.

Continuous Innovation:You're expected to stay at the forefront — piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

What You'll Actually Be Building

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 ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.

Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.

Resolve the technical blockers that other engineers can't — data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.

Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.

Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.

Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.

Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.

Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.

Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.

Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.

You have 8+ years of software engineering and technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.

You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.

You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.

You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.

You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery — and the judgment to know when \"fast\" is the wrong call.

You've mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.

You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.

You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.

Ability to travel to customer sites as needed to ensure client success

Business level proficiency in Italian and English

Computer Science (CS) degree or related.

Nice-to-Haves

Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)

Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks

Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers

Track record of influencing enterprise software product roadmaps through field engineering insight

Open-source contributions, published technical writing, or conference presentations

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.

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

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

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Equal Opportunity Statement.

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 88,200 to EUR 117,900 annually. Italy CBA (Contratto collettivo nazionale di lavoro del commercio) (04/01/2015 - ) 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.

We can't wait to meet you!