AI-Native Principal Engineer: Enterprise Systems Lead

TechTree; Doha; Hybrid; QAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Our client is advancing an AI-native model across the entire product lifecycle, shaping how engineering works at scale. This hands-on technical leadership role sits inside real delivery teams, driving legacy modernization, system integration and data-intensive products.

You will mentor engineers, lead architecture discussions and partner with product and business stakeholders to deliver measurable value and enterprise impact.

Responsibilities

• Lead the technical design and evolution of complex, business-critical enterprise applications
• Design robust, scalable solution architectures grounded in practical engineering
• Review application portfolios, legacy architectures and integrations, and find ways to modernise and simplify
• Translate business requirements, customer journeys and product needs into actionable technology solutions
• Guide decisions on integration patterns, APIs, distributed systems, cloud infrastructure and modern application architectures
• Introduce and embed AI-native software engineering practices within delivery teams
• Apply agentic AI tooling to development, legacy system understanding, test automation and engineering workflows
• Use and evaluate context engineering, harness engineering, reverse engineering and autonomous engineering agents
• Experiment with emerging AI development tools and judge what actually works on enterprise problems
• Identify barriers to AI adoption and build practical ways to overcome them
• Act as a hands-on mentor, working directly alongside developers to demonstrate better engineering approaches
• Lead architecture discussions, solution reviews and knowledge-sharing sessions
• Influence engineering standards and technical decisions without relying on formal line-management authority
• Help teams become more independent, confident and technically mature
• Partner with product leaders, engineering managers, architects and business stakeholders
• Explain complex technical options so the business can make informed decisions
• Build credibility with both engineering practitioners and technology leadership

Job description

Our client is advancing an AI-native model across the entire product lifecycle, shaping how engineering works at scale. This hands-on technical leadership role sits inside real delivery teams, driving legacy modernization, system integration and data-intensive products.

You will mentor engineers, lead architecture discussions and partner with product and business stakeholders to deliver measurable value and enterprise impact.