Lead Forward Deployed Engineer at Salesforce

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 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.

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. 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. Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed. Surface field insights directly to Product and Engineering. Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.

Qualifications

• 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
• Degree in Computer Science or a related field.
• Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
• Integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
• Deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
• Deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
• Entrepreneurial, get-things-done mindset focused on fast, impactful delivery — and the judgment to know when "fast" is the wrong call.
• Mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.
• Communicates clearly and credibly with engineering peers, customer architects, and executive stakeholders.
• Active 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