Purpose of the Role
Define, drive, and govern the technical strategy for enterprise Agentic AI platforms and solutions, ensuring scalable, secure, compliant, and business-aligned AI capabilities across the organization.
Work Model
At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work.
Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.
We also offer additional flexibility during August, allowing colleagues to work remotely throughout the month.
As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to large-scale AI initiatives that create impact across the bank.
Key Responsibilities
AI Architecture & Strategy
Define the enterprise AI and Agentic AI architecture vision, standards, and technology roadmap.
Lead architectural decisions for strategic AI initiatives.
Ensure scalable, secure, and consistent AI solutions across teams.
AI Platforms & Agentic AI
Design and evolve enterprise AI platforms and multi-agent systems.
Establish best practices for LLMs, RAG, agent orchestration, and AI solution development.
Evaluate emerging technologies and drive innovation initiatives.
Technical Leadership
Serve as the senior technical authority for complex engineering challenges.
Guide engineers and architects on solution design and technology choices.
Promote engineering excellence through mentoring and knowledge sharing.
Cloud & Platform Engineering
Define cloud and platform strategies for AI workloads.
Drive platform automation, infrastructure modernization, and DevOps practices.
Ensure performance, scalability, reliability, and cost efficiency.
AI Governance & Security
Establish standards for Responsible AI, security, privacy, and compliance.
Drive AI governance and risk management practices across the organization.
Business & Stakeholder Engagement
Partner with senior leaders to align AI strategy with business objectives.
Advise stakeholders on technology investments and AI opportunities.
Communicate complex technical concepts to executive audiences.
Talent Development
Mentor engineers, architects, and technical leaders.
Support hiring and build a culture of innovation and continuous learning.
About You
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
You likely bring:
Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
Advanced technical certifications in cloud, architecture, or AI technologies are advantageous.
Typically 6+ years of software engineering and architecture experience.
Extensive experience designing and operating enterprise-scale distributed systems.
Proven track record delivering production AI and Agentic AI platforms.
Demonstrated success influencing architecture and technical direction across multiple teams.
Experience mentoring senior engineers and leading technical transformation initiatives.
Required Qualifications
AI & Software Engineering
Expert-level Python development experience.
Strong background in distributed systems, scalable architectures, and software design principles.
Experience with event-driven architectures and reliability engineering.
Agentic AI & Generative AI
Proven expertise in LLM applications, RAG, and multi-agent systems.
Hands-on experience with frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.
Knowledge of AI evaluation, observability, and optimization practices.
Cloud & Platform Engineering
Experience with AWS, Azure, or GCP.
Strong Kubernetes, containerization, IaC, and CI/CD expertise.
Ability to optimize enterprise…