Lead Forward Deployed Engineer

Salesforce, Inc.; Dubai; On-site; AED 350,000 - 650,000; Full time

Benefits offered by this job

Travel opportunities

Exposure to AI tech

Job summary

Salesforce, Inc. seeks a Senior Forward Deployed Engineer to own end-to-end deployment of agentic AI solutions for our most strategic customers, from architecture decisions through production handoff and ongoing optimization.

You will design and ship agentic systems on the Agentforce platform, implement deterministic guardrails, and guide enterprise integration patterns while mentoring engineers and sharing reusable playbooks across the org.

Qualifications

• 6 years of software engineering or technical delivery with end-to-end ownership.
• Degree in Computer Science or a related field.
• Expert in Python, JavaScript, TypeScript, Java or Apex.
• Integrated LLMs into production; used LangChain or LlamaIndex.
• Deep experience with Salesforce Data 360, Snowflake or Databricks.
• Salesforce platform expertise: Agentforce, Apex, LWC, Flows, APIs.
• Entrepreneurial mindset with fast, impactful delivery; know when to ship.
• Mentored technical talent and created reusable assets, frameworks and playbooks.

Responsibilities

• Own end-to-end build and deployment of agentic AI solutions for Salesforce's strategic customers.
• From architecture decisions through production handoff.
• Design and ship agentic systems on the Agentforce platform with guardrails and enterprise patterns.
• Create reference implementations that guide others' approaches to problems.
• Own data lifecycle design, processing pipelines and data readiness for AI apps across platforms.
• Resolve blockers like data integration, deployment issues, or performance regressions.
• Build and maintain agent performance dashboards and KPI reporting.
• Develop proofs-of-concept and MVPs with disciplined judgment on what to defer.
• Codify learnings into patterns and playbooks used across the organization.
• Mentor engineers through code reviews and pair sessions.
• Collaborate with Product and Engineering to surface field insights for the roadmap.

Skills

Software engineering

Python

JavaScript/TypeScript

Java

Apex

LLMs in production

Prompt engineering

Data modeling

Salesforce Data 360

Salesforce APIs

Mentoring

Arabic & English

Education

CS degree or related field

Tools

LangChain

LlamaIndex

Job description

The Senior Builder Experience

Technical Ownership Partner with a Deployment Strategist to own customer outcomes end-to-end You re the senior technical authority in the room ensuring deliverables meet the highest engineering standards whether it was generated by an AI tool by a colleague or written by you directly AI-Supported Engineering Cursor Claude and Salesforce coding products like Vibes are embedded in your daily workflow The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference Roadmap Influence Your field experience routes directly to Product and Engineering The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution Continuous Innovation You re expected to stay at the forefront piloting emerging AI tools experimenting with new models and frameworks and sharing what you learn with your team and customers

What You’ll Actually Be Building

• Own end-to-end build and deployment of agentic AI solutions for Salesforce s most strategic customers
• from architecture decisions through production handoff
• Design and ship agentic systems on the Agentforce platform agent logic tool calls multi-agent orchestration deterministic guardrails and the integration patterns that hold up in enterprise environments
• Your reference implementations become the basis for how other Builders approach similar problems
• Own the data lifecycle model design processing pipelines and data readiness for AI applications across Salesforce Data 360 Snowflake Databricks and customer-specific platforms
• Resolve the technical blockers that other engineers can t data integration failures model deployment issues orchestration breakdowns performance regressions These problems are routed to you because of your track record of solving them
• Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements
• Develop proofs-of-concept and MVPs quickly with the judgment to know which decisions can be deferred and which need to be right the first time
• Codify what you learn The patterns reusable assets and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from
• Mentor other Engineers through code reviews pair sessions and shared work
• Most of your influence on developing engineers happens inside the same codebases you re building in
• Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed
• Surface field insights directly to Product and Engineering The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap
• Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship

You’re Our Senior Forward Deployed Engineer

• 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 LLMs 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 LWC Flows and Salesforce APIs
• You have an entrepreneurial get-things-done mindset focused on fast impactful delivery and the judgment to know when fast is the wrong call
• You ve mentored technical talent and created reusable assets frameworks playbooks internal tooling
• You communicate clearly and credibly with engineering peers customer architects and executive stakeholders
• You actively tinker with the evolving AI data landscape piloting new tools experimenting with new models and staying genuinely curious about what s coming next
• Ability to travel to customer sites as needed to ensure client success
• Business level proficiency in Arabic and English Computer Science CS degree or related

Nice-to-Haves

• Salesforce certifications Administrator Platform Developer I II Agentforce Specialist System Architect Familiarity with DevOps CI-CD practices observability tooling or data governance frameworks Experience architecting multi-c