FDE SWAT - Italy

Momentum; Lombardia; On-site; EUR 90,000 - 120,000; Full time

Job summary

Leadout Capital is seeking an experienced Forward Deployed Engineer to troubleshoot and resolve complex issues in live customer deployments. You will own problems end‑to‑end, from triage to resolution, and collaborate with Product and Engineering to improve AI-driven deployments across Salesforce platforms.

You’ll design agent intelligence, build data pipelines, and deliver measurable KPI reporting while traveling up to 25% to work directly with customers.

Qualifications

• 3+ years of software engineering or technical delivery experience.
• Degree in Computer Science or a related field.
• Production deployment experience in AI tech stacks is preferred.

Responsibilities

• Develop AI agents and production-ready experiences for enterprises.
• Design agent intelligence including prompts, reasoning, and tool calls.
• Own end-to-end components from architecture to deployment.
• Build and maintain data pipelines on Salesforce Data 360, Snowflake, Databricks; model data and validate output.
• Create dashboards and KPI reporting to monitor deployment health.
• Collaborate with customers and partners; share enablement best practices.
• Surface platform gaps and provide feedback to product and engineering.

Skills

Software engineering

Customer-facing delivery

Prompt engineering

Python

JavaScript/TypeScript

Java

Apex

LLMs

APIs

Data modelling

Travel readiness

Education

Bachelor's in Computer Science or related field

Tools

LangChain

LlamaIndex

Snowflake

Databricks

BigQuery

Agentforce

Cursor

Salesforce tools

Job description

The Experience

Production experience required. Builder mindset non-negotiable.

The FDE SWAT is a hands‑on Forward Deployed Engineer role focused on troubleshooting, fixing, and resolving complex issues in live customer deployments. As part of a team of specialists, you will be engaged by FDE Pods or directly by customers when critical problems arise, working quickly to diagnose root causes, implement fixes, and restore stable performance across Agentforce and the wider Salesforce platform. You will own issues end‑to‑end, from triage and investigation to resolution, validation, and handover, and you will be responsible for clear communication with stakeholders throughout, especially in high‑pressure and time-sensitive situations. You will work closely with Product and Engineering as a direct escalation path: reproducing and documenting defects, providing detailed technical evidence, collaborating on fixes and workarounds, and tracking resolutions through to release. Beyond individual cases, you will identify recurring issue patterns, share lessons learned with the Pods, and build reusable diagnostics, runbooks, and preventive best practices that strengthen the quality and resilience of future deployments across the EMEA South FDE team.

What You'll Actually Be Doing

• Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
• Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
• Own technical components end‑to‑end: from architecture choice to deployed, validated, and observable in production.
• Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output.
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
• Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
• Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
• Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real‑world experience is the product feedback loop.
• Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.

You're Our Person If...

• You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models.
• You have a degree in Computer Science or a related field
• You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have.
• You’re fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands.
• You’ve been hands‑on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
• You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them.
• You can hold your own in a room with sales teams and customer architects.
• You ship quality code and evaluate AI outputs with engineering rigour.
• 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.
• You thrive in the group chat that's building something, not just talking about it.
• You're excited to travel ~25% of the time and work directly alongside customers.

Even Better If...

• Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
• Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
• Hands‑on with cloud data platforms (Snowflake, Databricks, BigQuery)
• Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments

The Builder Experience

• AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools - Cursor, Claude, and Salesforce coding products like Vibes - embedded into your day-to-day workflow.
• Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
• Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months - spanning Agentforce, data, platform, and headless architectures, and your field insight will feed directly to the product teams building them.
• Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.