AI Governance Consultant
Listed on 2026-08-22
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Software Development
AI Engineer (Applied/Software), Software Engineer, DevOps, Cloud Engineer - Software
Yapı Kredi Technology is a technology company that produces innovative, high quality, and high value-added products and solutions in the finance sector. With more than 2,000 employees, it aims to create products that will shape the sector for Yapı Kredi Bank and to be the undisputed leader in the field of technology by using modern architectural systems and cloud technologies. It also contributes to the development of new and exemplary products for the sector by using natural language processing, machine learning, artificial intelligence, and data mining technologies with its R&D team.
At Yapı Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.
Who We Are:At Yapı Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.
What Do WeOffer:
- Opportunity to work in hybrid model
- Opportunity to work in Koç Group Community Companies' offices
- Career development opportunities in a structured technology career path
- Opportunity to benefit from Biz Club and KoçAilem privileges exclusive to Yapı Kredi Technology employees
- Company-contributed individual retirement insurance
- Birthday off day.
Summary:
As an AI Governance Consultant, you will design, implement, and oversee the governance framework that ensures our AI software systems meet the highest standards of technical robustness on software quality, data protection and cybersecurity. You will work closely with software engineers, security professionals, data and architecture teams to create scalable AI governance policies and procedures that enhance AI system reliability, maintainability, and security.
Qualifications:- MSc Degree on Computer Engineering or AI Engineering.
- Hands-on experience with secure AI software development and high performance software system management.
- Understanding of emerging AI software governance trends and industry standards.
- Experience in AI governance, software engineering, software architecture, software application security, or related fields.
- Strong expertise in software development lifecycle (SDLC), CI/CD pipelines, and software engineering best practices.
- Proficiency in software quality management, automated testing, and AI software performance monitoring.
- Solid understanding of secure and high quality software design principles.
- Experience with data governance frameworks and large-scale AI software deployment.
- Familiarity with ML-Ops platforms, software testing tools, and AI performance monitoring solutions.
- Strong analytical skills to assess performance, scalability, and reliability of AI software systems.
- Top-notch communication and stakeholder management skills.
- Ability to work cross-functionally with software engineering, security, and data teams.
AI Governance Framework Development
- Design and implement an AI governance structure that ensures reliability, security, and maintainability of AI software systems.
- Establish best practices for AI software development, deployment, monitoring, and version control.
- Define and enforce software quality standards specific to AI-driven applications.
- Ensure AI software systems are integrated securely and efficiently within existing software infrastructures.
- Collaborate with software engineers to align AI software designs with robust software engineering principles.
- Define and implement testing strategies, quality assurance frameworks, and fail-safe mechanisms for AI software systems.
- Implement code quality, performance monitoring, and debugging practices for AI-driven applications.
- Coordinate efforts to develop and implement security measures to protect AI software systems…
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