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Salesforce

Builds cloud software for customer relationships

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeOslo, NorwayNo salary listed

About the Job

Requirements

  • Have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise artificial intelligence, cloud, or software-as-a-service environments.
  • Have a degree in Computer Science or a related field.
  • Be expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
  • Have integrated large language models into production, used frameworks such as LangChain or LlamaIndex, and applied prompt engineering and responsible artificial intelligence practices in real customer contexts.
  • Have deep experience in data modeling, processing, and analytics, with proficiency across platforms such as Salesforce Data 360, Snowflake, or Databricks.
  • Bring deep Salesforce platform expertise, including Agentforce, Apex, Lightning Web Components, Flows, and Salesforce APIs.
  • Have mentored technical talent and created reusable assets such as frameworks, playbooks, and internal tooling.
  • Be willing to travel approximately 25% of the time and work embedded with customer engineers.

Responsibilities

  • Own end-to-end build and deployment of agentic artificial intelligence 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 artificial intelligence 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 decisions can be deferred and which must be correct from the outset.
  • Codify customer-work learnings into patterns, reusable assets, and internal frameworks that become 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, gaps, and edge cases from customer environments to Product and Engineering as inputs to 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/CI-CD practices, observability tooling, or data governance frameworks.
  • Experience architecting multi-cloud, multi-system enterprise artificial intelligence solutions for Global 500 customers.
  • A 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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