About the job
Join our team as a Senior Technology Innovation Engineer in Dubai, where you will leverage your expertise in AI to drive engineering excellence. In this pivotal role, you will not only oversee projects but also shape the future of AI-driven digital transformation at Cygnify. Your responsibilities will include establishing standards for prompt engineering, creating code generation workflows, automating quality assurance, documenting intelligently, and fostering continuous learning systems.
As a seasoned engineer, you possess a diverse technical skill set with a strong focus on utilizing AI to enhance productivity and quality. You have a proven track record of building and launching products, integrating AI into delivery pipelines, and transitioning concepts to production under tight deadlines. Your experience includes orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation throughout the software development life cycle (SDLC).
In addition, your interpersonal skills enable you to effectively engage with clients, identify their needs, manage stakeholders, and translate business goals into actionable technical strategies enhanced by AI. You see AI as a practical tool for accelerating value delivery, improving quality, and unlocking new opportunities.
You thrive in dynamic environments that value agility, experimentation, and proactive initiative, where AI serves as a critical multiplier for team performance.
Key Responsibilities:
- Architect and develop scalable, innovative software solutions for internal and client use.
- Lead client engagements, serving as both a trusted advisor and technical owner.
- Rapidly prototype, iterate, and validate solutions using cutting-edge technologies.
- Balance immediate deliverables with a long-term vision for sustainable systems.
- Collaborate across cross-functional teams to align product objectives, timelines, and execution.
- Mentor junior engineers and contribute to fostering a culture of technical excellence.
- Assess new technologies for scalability and citizen impact.
- Integrate AI-native development workflows across the SDLC, utilizing AI copilots, automated test creation, and intelligent documentation to enhance output quality.
- Design and implement AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop reviews, and ongoing model evaluations to ensure secure and scalable production readiness.

