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SalesforcePosted 1 month ago

Forwarded Deployed Engineer

On-siteLisbon, Lisbon, Portugal

Full TimeEnterprise

Job Summary

Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, and multi-agent orchestration for Salesforce's strategic customers. Own end-to-end build and deployment of AI solutions from architecture decisions through production handoff, resolving complex technical blockers like data integration failures and performance regressions. Manage the data lifecycle across Salesforce Data 360, Snowflake, and Databricks while building performance dashboards to track deployment health. Partner with a Deployment Strategist to translate customer challenges into shipped solutions, surfacing field insights directly to Product and Engineering for roadmap influence. Mentor engineers through code reviews and pair sessions, codifying reusable frameworks and playbooks from real customer work.

Required Qualifications

  • 6+ years of software engineering or technical delivery experience
  • 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
  • conversant in the others
  • integrated LLMs into production
  • used frameworks like LangChain or LlamaIndex
  • applied prompt engineering and responsible AI practices in real customer contexts
  • deep experience in data modeling, processing, and analytics
  • 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
  • judgment to know when 'fast' is the wrong call
  • mentored technical talent
  • created reusable assets — frameworks, playbooks, internal tooling
  • communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders
  • actively tinker with the evolving AI/data landscape
  • piloting new tools
  • experimenting with new models
  • staying genuinely curious about what's coming next
  • excited to travel ~25% of the time
  • embedded with customer engineers
  • High level of proficiency in Hebrew and English

Desired Qualifications

  • Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
  • Familiarity with DevOps/CI-CD practices
  • observability tooling
  • data governance frameworks
  • Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
  • Track record of influencing enterprise software product roadmaps through field engineering insight
  • Open-source contributions
  • published technical writing
  • conference presentations

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