Salesforce

3 weeks ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design, build, and deploy agentic AI solutions inside enterprise customer environments as part of a delivery team. Partner with a Deployment Strategist to co-build production-ready capabilities from day one, from prompt and tool-call intelligence to end-to-end deployment and observability. Build data pipelines across Salesforce Data 360, Snowflake, and Databricks, maintain KPI dashboards, and deliver proofs-of-concept and MVPs that ship in days while feeding field insights back to product teams.

Location: Casablanca

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Co-build agentic AI solutions that go live in production environments from day one, partnering with a Deployment Strategist.
•Design agent intelligence (prompts, reasoning, tool calls) and integrate with customer systems using Agentic AI and LLM techniques.
•Own technical components end-to-end, from architecture choices through deployed, validated, and observable production delivery.
•Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms.
•Create agent performance dashboards and KPI reporting, and contribute to rapid proofs-of-concept and MVPs.

Travel: Medium travel

Key Requirements

•3+ years of software engineering or technical delivery experience with at least one production system you can discuss (ideally in an AI tech stack or full-stack development).
•Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering).
•A degree in Computer Science or a related field.
•Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex, with willingness to expand to other languages.
•Hands-on experience with LLMs and prompt engineering, including understanding data modeling, APIs, and integration patterns to design solutions.

Experience:3+ yearsAIEnterprise softwareCustomer delivery

Education:Bachelor's in Computer Science (or related field)

Skills:CollaborationMentorshipEngineering rigorCuriosityCommunication

Tech Stack:AgentforceCursorClaudeVibesLLMsPrompt engineeringPythonJavaScriptTypeScriptJavaApexSalesforce Data 360SnowflakeDatabricksBigQueryLangChainLlamaIndexAPIs

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

3 weeks ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Casablanca

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Co-build agentic AI solutions that go live in production environments from day one, partnering with a Deployment Strategist.
•Design agent intelligence (prompts, reasoning, tool calls) and integrate with customer systems using Agentic AI and LLM techniques.
•Own technical components end-to-end, from architecture choices through deployed, validated, and observable production delivery.
•Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms.
•Create agent performance dashboards and KPI reporting, and contribute to rapid proofs-of-concept and MVPs.

Travel: Medium travel

Key Requirements

•3+ years of software engineering or technical delivery experience with at least one production system you can discuss (ideally in an AI tech stack or full-stack development).
•Prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering).
•A degree in Computer Science or a related field.
•Fluency in at least one of Python, JavaScript/TypeScript, Java, or Apex, with willingness to expand to other languages.
•Hands-on experience with LLMs and prompt engineering, including understanding data modeling, APIs, and integration patterns to design solutions.

Experience:3+ yearsAIEnterprise softwareCustomer delivery

Education:Bachelor's in Computer Science (or related field)

Skills:CollaborationMentorshipEngineering rigorCuriosityCommunication

Tech Stack:AgentforceCursorClaudeVibesLLMsPrompt engineeringPythonJavaScriptTypeScriptJavaApexSalesforce Data 360SnowflakeDatabricksBigQueryLangChainLlamaIndexAPIs

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor