Lead Forward Deployed Engineer

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're Our Forward Deployed Engineer If...

You have 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.

You have a degree in Computer Science or a related field

You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.

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.