AI Solutions Engineer

At Íslandsbanki, we are committed to empowering our customers to succeed through progressive thinking, collaboration, and professionalism.

Our IT department is a dynamic team of software development and operations professionals dedicated to delivering high-quality software solutions and capabilities. We value agile methodologies and cross-team synergy in product ideation and delivery, achieving our goals through team autonomy, modern technology stacks, automated processes, deployment pipelines, testing, and quality gates.

We are looking for a talented and motivated AI Solution Engineer with a passion for AI and cloud-based solutions to join our team. In this role, you will design, develop, and deploy intelligent applications and business processes using Microsoft Azure AI services. You’ll work closely with data scientists, product managers, and business stakeholders to build scalable and secure solutions that deliver real value.

Responsibilities

• Design and build applications that leverage Azure AI services such as Azure OpenAI, Azure ML, Document Intelligence , and others.
• Develop APIs, microservices, and backend processes that integrate AI capabilities into business workflows.
• Collaborate with cross-functional teams to gather requirements, understand use cases, and define implementation plans.
• Build and maintain CI/CD pipelines to deploy AI-powered applications into Azure environments.
• Monitor and optimize performance, scalability, and cost-effectiveness of AI-based solutions.
• Ensure solutions follow security best practices and comply with governance and regulatory requirements.
• Document solutions and provide knowledge transfer to stakeholders and support teams.

Required Qualifications

• At least 5 years experience in a similar role
• A positive mindset and can-do attitude
• Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
• Experience with successfully implementing Azure AI services, such as: Azure AI foundry
  Azure Cognitive Services (Vision, Speech, Language, etc.)
  Azure Document Intelligence
  Azure Machine Learning
• Solid experience with Azure services, especially in AI/ML and API development.
• Proficiency in programming languages such as Python or C#
• Understanding of RESTful APIs, event-driven architecture, and containerization (Docker, AKS).
• Strong problem-solving skills and ability to translate business needs into technical solutions.

Preferred Qualifications

• Experience working with LLMs (Large Language Models) and prompt engineering.
• Knowledge of DevOps practices and tools like GitHub Actions or Azure DevOps
• Experience with Microsoft's Power Platform is a plus
• Background in data engineering or data science is a plus.
• Experience in industries with high compliance requirements (e.g., finance, healthcare) is a definite advantage.

WHAT ARE PERKS AND BENEFITS:

Self-development:

• Upskilling trainings
• Up to 10% of your week dedicated to self-development
• Conference and education budget – you name events!

Physical wellbeing:

• Multisport card
• Healthcare plan
• Life insurance policy
• Restaurant pre-paid card
• On-site restaurant and fully equipped kitchen including healthy snacks and breakfasts/coffee/refreshments

Work arrangement:

• up to 170 PLN/hr on B2B (EC is an option too)
• 25 days 100% paid time off (B2B)
• Premium hardware (PC, screens, headphones)
• Company phone
• Flexible work schedule, emphasis on work-life balance
• Remote work model. But we ask you to participate in 3-day all team workshops that happen in general every 3 months.
• Modern office in the Center of Warsaw in CIC, offering yoga, game and wellness rooms, rooftop terrace, children's playroom, events and networking
• Occasional business travel to Iceland with some extra days on-site to visit the island
• Social events and team building activities

Recruitment process

1. CV gathering

It may take us up to 1 week to get back to you.

2. Phone call with Recruiter

During this conversation with Karolina, you'll learn about the company and role details while sharing your experience and aspirations. Feel free to ask questions to find out if this opportunity aligns with your goals.

3. 40 min Meeting with your future Manager

Discussion with your future manager provides deeper understanding of expectations, and day-to-day responsibilities. This is your chance to evaluate your potential manager's leadership style and vision.

4. Recruitment Assignment

This task allows you to demonstrate your abilities and approach to work, but also gives you insight into the type of projects and challenges you might face in this role.

5. 30 min Follow up with your future Colleague

After successful verification of your assignment, meet with a colleague to review it. This meeting offers a chance to discuss the role further and clarify any remaining questions.

6. Decision

The final step represents a mutual choice - the company decides if they'd like to extend an offer, and you decide if this is the right opportunity for you.