The company is hiring Senior Forward Deployed Engineers — the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You’ll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist, you’ll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
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Location: Saudi Arabia - Riyadh
Requirements
- 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.
- Degree in Computer Science or a related field.
- Expertise in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
- Integrated LLMs into production, using frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
- Deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like the company Data 360, Snowflake, or Databricks.
- The company platform expertise: Agentforce, Apex, LWC, Flows, and the company APIs.
- Entrepreneurial, get-things-done mindset focused on fast, impactful delivery — with judgment to know when "fast" is the wrong call.
- Mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling.
- Clear and credible communication with engineering peers, customer architects, and executive stakeholders.
- Willingness to travel ~25% of the time, embedded with customer engineers.
- Business level proficiency in Arabic and English.
Nice-to-Haves
- The company 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-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.
Working Conditions
You’ll be 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.
