Chapter Lead AI/LLM Data Scientist in Agentic AI
ING is hiring a Chapter Lead AI/LLM Data Scientist in Agentic AI. Level rates it ; you can apply on ING.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include LangChain, LangGraph and CrewAI.
- Level classifies it as a lead role.
- Level lists 658 other open roles at ING.
AI in this role
Lead a chapter of AI/LLM data scientists while driving the design and deployment of production-grade Agentic AI solutions across banking domains.
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.
Roles & Responsibilities
- 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.
Why Join ING Hubs Türkiye?
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.
Equal Opportunity
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.
What We Offer at ING Hubs Türkiye
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
- Private Pension Plan
- Meal Card
- Transportation Allowance
- MultiSport Membership
- English Language Development Support
- 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.
Discover ING Hubs Türkiye
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.
Let's meet!
How we rate this
Chapter Lead AI/LLM Data Scientist in Agentic AI at ING rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, ML Ops, NLP, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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