07 ago - Cusano Milanino
Altro
Overview Experteer Overview: As a Senior Forward Deployed Engineer at Salesforce, you own end-to-end delivery of agentic AI solutions for strategic customers. You lead architecture decisions, mentor engineers, and set standards for scalable deployments inside enterprise environments. You work closely with Deployment Strategists to translate customer challenges into deployed AI-enabled outcomes. You stay at the frontier of AI tooling, shaping product evolution and driving customer success at scale.
Benefits Own end-to-end build and deployment of agentic AI solutions from architecture decisions to production handoff
Design and ship agentic systems on the Agentforce platform (agent logic, tool calls, multi-agent orchestration, guardrails)
Manage data lifecycle (model design, data pipelines, data readiness) across Salesforce Data 360, Snowflake, Databricks
Resolve technical blockers (data integration, deployment, orchestration, performance)
Build and maintain agent performance dashboards and KPI reporting
Create PoCs and MVPs with balanced risk and speed
Codify learnings into reusable patterns and playbooks for the org
Mentor engineers via code reviews and pairing sessions
Provide depth on critical deployments and surface insights to Product/Engineering
Partner with Deployment Strategist to translate business challenges into deployable agentic solutions
Surface field insights to influence Agentforce roadmap
Responsibilities 6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS
CS degree or related field
Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex; conversant in others
Experience integrating LLMs into production with LangChain or LlamaIndex; strong prompt engineering and responsible AI practices
Deep experience in data modeling, processing, analytics; proficient with Salesforce Data 360, Snowflake, Databricks
Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs
Entrepreneurial, fast-delivery mindset with sound judgment on timing
Mentored engineers and created reusable assets and tooling
Clear, credible communication with peers, customer architects, and execs
Willingness to travel to customer sites; fluent in Italian and English
CS degree or equivalent
Nice-to-haves: Salesforce certifications, DevOps/CI-CD, multi-cloud enterprise AI experience
Qualifications 6+ years of software engineering or technical delivery in enterprise AI, cloud, or SaaS
CS degree or related field
Expert in at least one of Python, JavaScript/TypeScript, Java, or Apex; conversant in others
Experience integrating LLMs into production with LangChain or LlamaIndex; strong prompt engineering and responsible AI practices
Deep experience in data modeling, processing, analytics; proficient with Salesforce Data 360, Snowflake, Databricks
Strong Salesforce platform expertise: Agentforce, Apex, LWC, Flows, Salesforce APIs
Entrepreneurial, fast-delivery mindset with sound judgment on timing
Mentored engineers and created reusable assets and tooling
Clear, credible communication with peers, customer architects, and execs
Willingness to travel to customer sites; fluent in Italian and English
Nice-to-haves: Salesforce certifications, DevOps/CI-CD, multi-cloud enterprise AI experience
Compensation Base salary EUR 70,425–94,200
Incentive component
Additional notes Accommodations during recruiting process
Inclusive employer policy
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