مهندس رئيسي ميداني للأنظمة — إعادة هيكلة المجالات

Role Overview
As a Principal Forward Deployed Engineer — Domain Rewiring, you will join a select squad of senior peers at Office, working in a fully ONSITE environment. This is a high-impact, individual contributor position where you directly own and deliver the most challenging system "rewiring" projects end-to-end. You'll be embedded within business entities, defining requirements, designing agentic workflows, ensuring real measured value, and serving as product owner for your projects—without a product manager, business analyst, or architect setting your path.

Responsibilities

• Embed deeply in business units to understand real workflows, write requirements, and capture key baseline metrics needed for success measurement.
• Architect and deliver production-ready agentic software systems: design agent workflows, retrieval and orchestration logic, compose tools, agents, and evaluation processes, and write scalable production code.
• Spearhead deployment through each compliance and approval stage: autonomy tiering, policy as code, tenant isolation, PDPL and InfoSec review—turning each deployment into a repeatable blueprint for future success.
• Own adoption, driving both the technical and human process changes necessary to realize real, measurable value within the entity.
• Measure, prove, and report value achieved versus the agreed baseline, and recommend scale-up, redesign, or decommissioning based on objective evidence.
• Continuously improve squad playbooks and reusable platform elements to accelerate future rewirings; mentor and grow new FDEs as the portfolio scales.
• As needed, lead a rewiring pod or take responsibility for a domain portfolio slice—always alongside your own direct field delivery.
• Within the first three months: personally execute an end-to-end domain rewiring in a flagship entity, produce a signed-off value case with measured reporting, and establish reusable sovereign platform capabilities.

Must have requirements

• Exceptional record of hands-on production engineering: proven delivery of systems used daily by real users, with outcomes and metrics to show.
• Expertise in ambiguous, customer-facing, and embedded roles—defining problems, requirements, and success independently.
• Deep proficiency in large language models, agentic AI systems, agent workflow design, orchestration, retrieval, prompt engineering, and related coding skills (e.g., Python, relevant frameworks).
• Instinctive product ownership: experienced in user interviews, requirement gathering, scope definition, and business-oriented decision-making—without PM support.
• Confident in discussing ROI, cost, headcount, and operational metrics with senior leadership.
• Skilled in navigating enterprise or government IT constraints: identity, networking, data governance, releasing, and compliance processes.
• A track record of disciplined, evidence-based decisions to scale, stop, or rework products based on realized—not projected—value.
• Prepared to provide evidence of at least two products personally built to production (with outcomes and numbers), and an instance where you stopped/descoped a project due to insufficient value.

Nice to have requirements

• Experience in forward deployed engineering, solutions engineering, or delivery leadership, preferably in building and growing technical teams.
• Prior delivery experience in government or regulated, high-assurance sectors.
• Background as a founder, founding engineer, or key contributor in zero-to-one product development within large organizations.
• Hands-on Azure and platform engineering skills.
• Fluency in Arabic and English, or proven experience working in a bilingual (Arabic/English) environment.

Perks and Benefits

• Direct ownership of high-impact, transformative engineering challenges and their realized value.
• Opportunity to shape embedded field delivery for critical systems at true production scale.
• Work alongside a squad of principal-level peers in a transparent, measured, and empowered environment.
• Room to influence squad playbooks, hiring, and the platform's future capabilities.
• Access to latest AI technologies, sovereign AI platform design, and agentic workflows at scale.
• Recognition based on field outcomes: value delivered, time to delivery, and enduring impact, not lines of code or team size.