14 set - Monza
Salesforce
OverviewAs a Senior Forward Deployed Engineer, you will own end-to-end delivery of agentic AI solutions for Salesforce's key enterprise customers.
You'll lead technical delivery, mentor peers, and set engineering standards to scale agentic AI deployments.
You partner with Deployment Strategists to translate customer needs into shippable AI solutions, while staying at the forefront of AI tools and frameworks.
This role blends architecture, data, and software craft to drive measurable business outcomes in enterprise environments.
ResponsabilitàOwn end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture decisions to production handoff
Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, guardrails, enterprise-ready integration patterns
Manage data lifecycle: model design, data pipelines, data readiness across Salesforce Data 360, Snowflake, Databricks, and customer platforms
Resolve blockers in data integration, model deployment, orchestration, and performance
Build and maintain agent performance dashboards and KPI reporting across engagements
Develop proofs-of-concept and MVPs with sound judgment on what to implement now vs later
Codify learnings into reusable playbooks and assets for the org
Mentor engineers through code reviews and paired sessions
Provide technical depth on critical deployments and surface field insights to Product and Engineering
Collaborate with Deployment Strategist to translate complex business challenges into actionable agentic solutions
Travel to customer sites as needed to ensure success
Contribute to roadmap with field insights that influence product and engineering decisions
Requisiti fondamentali6+ years of software engineering or technical delivery experience with end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS
degree in Computer Science or a related field
expert in at least one of Python, JavaScript/TypeScript, Java, or Apex and conversant in others
experience integrating LLMs into production and using frameworks like LangChain or LlamaIndex
proficient in data modeling, processing, and analytics with experience on platforms like Salesforce Data 360, Snowflake, or Databricks
deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs
entrepreneurial, results-oriented mindset with good judgment on fast vs right decisions
mentored technical talent and created reusable assets or playbooks
clear, credible communication with engineers, customer architects, and executives
curiosity about evolving AI/data landscape and willingness to pilot new tools and models
ability to travel to customer sites as needed
business proficiency in Italian and English
Computer Science (CS) degree or related
strong communication
mentorship
cross-functional collaboration
Python
JavaScript/TypeScript
Java
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