Chapter Lead: AI & LLM Data Science — Build Agents

ING Hubs Türkiye; Fatih; Presencial; TRY 2.714.932 - 4.072.398; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

14 days of welcome leave

Self-driven career paths

Comprehensive health insurance

Descripción de la vacante

ING Hubs Türkiye is seeking a Chapter Lead for Advanced Analytics. In this role, you will manage a diverse team, develop LLM-powered AI agents, and oversee delivery for global priorities. You should have a degree in Computer Science and strong management experience within Agile teams. The position offers the chance to work in a dynamic, innovative environment with global exposure and opportunities for personal growth.

Formación

• Experience in building LLM, Generative AI, or NLP solutions.
• Understanding of LLM fundamentals and modern AI development patterns.
• Management experience in a matrix setup is a plus.

Responsabilidades

• Develop a view on DS capability craftsmanship with Tribe and Product Leads.
• Build and deploy LLM-powered agents that interact with data.
• Support teams in understanding AI agent behavior.

Conocimientos

Management experience in an Agile organization

Strong Python skills

Ability to build end-to-end AI applications

Fluent in English

Educación

Degree in Computer Science or similar field

Herramientas

Agentic AI frameworks

Modern workflow orchestration tools

Descripción del empleo

Help shape the future of Agentic AI across ING's global banking network.

Artificial Intelligence is rapidly evolving from predictive models and conversational interfaces to autonomous systems capable of planning, reasoning, collaborating, and taking action. At ING, we're investing in Agentic AI to help transform how banking services are designed, delivered, and operated across multiple countries and business domains.

As part of ING's global Analytics Engineering organization, you'll help build the next generation of AI capabilities supporting Risk Management, Financial Crime, Customer Intelligence, Pricing, People Analytics, and other strategic areas.

At ING Hubs Türkiye, you'll play a key role in defining how Agentic AI is developed, scaled, and adopted across the organization while helping shape the future of AI craftsmanship and leadership within a growing international community.

Role Summary

As a Chapter Lead AI/LLM Data Scientist in Agentic AI, you will combine people leadership with hands-on technical leadership.

You will lead a chapter of AI/LLM-focused Data Scientists while remaining actively involved in the design, development, and deployment of production-grade Agentic AI solutions. Working closely with Product Leads, Tribe Leads, Data Scientists, Architects, and business stakeholders, you will help translate emerging AI capabilities into scalable solutions that deliver measurable business value.

This role combines chapter leadership, talent development, technical direction, and solution delivery, offering an opportunity to influence both the future of AI talent and the future of AI products at ING.

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.

About You

We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious, continue learning, challenge ideas, and help others grow.

We're looking for someone who combines strong AI expertise with leadership capability and enjoys transforming emerging technologies into real business outcomes.

You likely bring:

• Significant experience in Data Science, Machine Learning, NLP, Generative AI, or related disciplines.
• Experience leading, mentoring, or developing technical professionals in Agile environments.
• Hands-on experience building and deploying production-grade AI solutions.
• Strong Python skills and experience working across the full AI solution lifecycle.
• Experience designing or implementing LLM-powered applications and modern AI architectures.
• Experience with Agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Familiarity with retrieval systems, vector databases, embeddings, RAG architectures, and AI orchestration patterns.
• Understanding of evaluation methodologies, guardrails, AI governance, and responsible AI practices.
• Experience collaborating across business and engineering teams to deliver impactful solutions.
• Excellent communication skills and fluent English.

What Will Make You Successful

Successful candidates balance strategic leadership with technical depth.

You are comfortable navigating ambiguity, influencing stakeholders, and helping teams make sound technical decisions while remaining close to delivery and execution.

You:

• Enjoy building high-performing teams and developing people.
• Can align business priorities with technical opportunities.
• Help teams simplify complexity and focus on delivering value.
• Drive technical excellence while maintaining a pragmatic mindset.
• Stay up to date with developments in LLMs, Agentic AI, and emerging AI technologies.
• Foster a culture of learning, experimentation, innovation, and knowledge sharing.
• Understand the challenges and responsibilities of deploying AI solutions within regulated environments.

Experience in Banking, Financial Services, FinTech, or other regulated industries is considered an advantage.

• Lead and develop a chapter of AI/LLM Data Scientists, supporting growth, performance, and career development.
• Drive AI craftsmanship and knowledge sharing across the Analytics Engineering community.
• Partner with Product Leads, Tribe Leads, and fellow Chapter Leads to shape future AI capabilities and workforce strategies.
• Support capacity planning and allocation of chapter members across strategic initiatives.
• Design, build, and deploy Agentic AI solutions powered by Large Language Models.
• Guide the development of AI agents and multi-agent systems that interact with tools, APIs, data sources, and business applications.
• Establish best practices for AI engineering, experimentation, evaluation, governance, and safety.
• Collaborate with Engineering, Platform, and MLOps teams to operationalize AI solutions at scale.
• Translate complex business challenges into scalable AI products and measurable business outcomes.
• Contribute to the advancement of ING's global Agentic AI vision and roadmap.

Shape an Emerging Capability

Help define and scale Agentic AI leadership within one of the world's leading financial institutions.

Stay Hands-On

Continue designing and building innovative AI solutions while growing and leading talented professionals.

Work at Global Scale

Deliver AI capabilities that support multiple countries, business domains, and millions of customers.

Join a Strong Community

Become part of a 100+ member Analytics Engineering organization bringing together experts in Data Science, AI Engineering, Analytics, MLOps, and Data Management.

Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.

At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.

Be Yourself, Be an ING'er

• Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
• Career Opportunities: Self-driven career paths and international opportunities
• Personal Growth: Challenging work and continuous development
• Dynamic Environment: Informal, vibrant, and collaborative culture
• Innovation Culture: Explore and apply PACE methodology
• Global Exposure: Participate in international projects and communities
• Communication & Celebrations: Various communication activities and celebrations
• Health Care: Comprehensive private health insurance for you and your family
• Meal Card
• MultiSport Membership
• Remote working opportunities throughout August

How to Apply

Click the application button on our careers page and submit your application through Workday.

About ING

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.

Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?

Then there is no better place to invest your talents than at ING.

Join us. Apply today.

About ING Hubs

Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.

ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.

We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.