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About the Role
As a Business AI Designer, you will help accelerate the development of AI-enabled solutions by combining business understanding, AI product thinking, and structured delivery methods. You will work on high-impact use cases, initially within the Risk domain, and help build a scalable approach.
Responsibilities
- Translate complex business requirements into structured AI and agentic coding use cases, initially mainly for the Risk domain.
- Design AI-enabled solution concepts and prototypes that help reduce time to market and improve structured delivery.
- Apply agentic coding methodologies and AI-assisted development capabilities to support prototyping, documentation and solution design.
- Contribute to a scalable platform approach by identifying reusable patterns, agent configurations and domain-agnostic components.
- Work with technical colleagues to connect business requirements with platform architecture, GCP Vista, repositories and delivery standards.
- Use Azure DevOps, repositories and GitHub Copilot as part of the delivery workflow, with human-in-the-loop validation of AI-generated output.
- Guide business and technical stakeholders from idea or requirement towards a validated AI-enabled prototype.
- Help shape new ways of working for agentic product development within ING.
Requirements
- Master’s or PhD level in Artificial Intelligence, or a closely related field.
- Advanced ability to translate complex business problems into AI-enabled product concepts, agentic workflows and scalable solution designs.
- Strong academic and practical understanding of Artificial Intelligence, including LLMs, agentic systems, AI-assisted development and human-in-the-loop validation.
- Graduate-level capability to connect business architecture, platform thinking, product development and technical delivery in a regulated organisation.
- Strong analytical skills to structure ambiguous requirements, assess solution feasibility and identify reusable patterns across domains.
- Ability to work with, or rapidly master, tools and environments such as Azure DevOps, GitHub Copilot, repositories, GCP Vista and relevant AI coding tools.
- Proven hands-on experience applying AI-powered development tools such as GitHub Copilot to accelerate software engineering, technical documentation and solution design activities, including the critical evaluation, validation and optimisation of AI-generated outputs in enterprise environments.
- Excellent stakeholder management and communication skills, with the ability to explain advanced AI and platform concepts in clear business language.
Skills
- Artificial Intelligence
- AI product thinking
- Structured delivery methods
- Agentic AI solutions
- AI-enabled products
- Risk domain
- Scalable approach
- Data Management
- Service & Operations
- AI-assisted development
- User requirements
- Prototypes
- Scalable solutions
- Risk-related requirements
- Agentic coding methodologies
- Platform architecture
- GCP Vista
- Repositories
- Delivery standards
- Azure DevOps
- GitHub Copilot
- Human-in-the-loop validation
- LLMs
- Agentic systems
- Business architecture
- Platform thinking
- Product development
- Technical delivery
- Analytical skills
- Stakeholder management
- Communication skills
Work Type
- Hybrid working
Education Level
- Master’s or PhD level
Benefits
- 25–28 vacation days depending on contract
- Pension scheme
- 13th month salary
- 8% holiday payment
About the Company
- ING empowers people and businesses to move forward.