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Salesforce

Builds cloud software for customer relationships

Senior Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLisbon, PortugalNo salary listed

About the Job

Requirements

  • 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 large language models 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, Lightning Web Components, Flows, and Salesforce APIs.
  • You've mentored technical talent and created reusable assets, including frameworks, playbooks, and internal tooling.
  • You have high-level proficiency in Portuguese and English.
  • You're excited to travel approximately 25% of the time, embedded with customer engineers.

Responsibilities

  • Own end-to-end build and deployment of agentic AI solutions for strategic customers, from architecture decisions through production handoff.
  • Design and ship agentic systems on the Agentforce platform, including agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and enterprise integration patterns.
  • Own the data lifecycle, including model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
  • Resolve technical blockers such as data integration failures, model deployment issues, orchestration breakdowns, and performance regressions.
  • Build and maintain agent performance dashboards and customer key performance indicator reporting to track deployment health and business outcomes across engagements.
  • Develop proofs of concept and minimum viable products quickly, deciding which choices can be deferred and which must be right the first time.
  • Codify customer-work learnings into patterns, reusable assets, and internal frameworks that serve as organizational playbooks.
  • Mentor other engineers through code reviews, pair sessions, and shared work.
  • Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
  • Surface field insights, including gaps and edge cases found in customer environments, to Product and Engineering for the Agentforce roadmap.
  • Partner with the Deployment Strategist to translate complex customer business challenges into agentic solutions that ship.

Desired Qualifications

  • Salesforce certifications such as Administrator, Platform Developer I/II, Agentforce Specialist, or System Architect.
  • Familiarity with DevOps and continuous integration/continuous delivery practices, observability tooling, or 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, or conference presentations.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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