AI Solutions Engineer in Belfast

Please note - there is no visa sponsorship available for this role or fully remote working.

As an AI Solutions Engineer reporting to the Data and Analytics Delivery Manager and working with Data Scientists in both Danske Bank UK and Europe, you'll be a driving force in revolutionising our AI initiatives. You will innovate and deploy leading‑edge solutions on platforms like MS Azure and AWS, working on knowledge assistants and agents, leveraging the OpenAI and anthropic models, and contributing to proof‑of‑concept projects that will shape our ecosystem's future. You'll work on robust AI applications, ensuring seamless integration with CI/CD pipelines, mastering cloud infrastructure by blending AWS with non‑AWS solutions, and tackling financial services industry challenges head‑on. You will also collaborate with cross‑functional teams, including AI teams within the wider Danske Bank organisation, to utilise the pre‑built infrastructure, driving impactful and dynamic AI projects that deliver bespoke solutions, advancing our strategic goals.

What you will do

• Understand organisational and financial services challenges and spearhead how integrating AI capabilities can help lead to successful solutions.
• Design and implement cloud‑based solutions, with a focus on deploying AI agents and knowledge bots within the AWS and Microsoft technology stack.
• Deliver robust software engineering solutions that meet business requirements and enhance system performance.
• Display strong stakeholder management and influence through consistent collaboration, to understand their needs and translate these into technical requirements for AI solutions.
• Implement monitoring systems to track performance of AI models in production and perform regular maintenance to ensure reliability and accuracy.
• Ensuring AI solutions adhere to ethical guidelines and best practices, including fairness, transparency, and accountability.
• Maintain thorough documentation of AI projects and provide regular reports on progress, challenges, and outcomes to relevant stakeholders.
• Providing training and mentorship to junior team members and other departments to build AI literacy and capabilities within the organisation.
• Display strong communication skills by liaising with data scientists, data engineers, and architects.
• Utilise productivity and organisational skills through timely completion and accuracy of process documentation.
• Ensure projects are delivered at pace, aligning with the bank's strategic objectives, demonstrating agility and problem‑solving skills to overcome challenges.

What skills & experience will you need?

Essential

• Proven ability to implement infrastructure and models that support key business deliveries and objectives.
• Ability to adapt to new or emerging technologies and methodologies, demonstrated through ongoing professional development and training.
• Ability to produce complete and accurate documentation of processes, evaluated through reviews and usage metrics.
• Ability to foster an environment of continuous improvement, contributing to innovative solutions and initiatives within AI practices aligned to business goals.
• Experience in enhancing AI model accuracy, efficiency and predictive capabilities, with demonstrable performance metrics.

Preferred

• Bachelor’s degree in Computer Science or Software Engineering.
• Experience deploying AI within AWS and MS Azure.
• Experience using Docker, Airflow and Openshift.
• Cloud Certification.
• Data science model review, code refactoring, model optimisation, containerisation, deployment, versioning, monitoring of model quality and non‑functional requirements.

Your benefits

We're offering a competitive salary. We also provide an attractive range of flexible benefits centred on wellness, financial, psychological, physical and social. Everyone's circumstances differ, so benefits can be tailored to your needs. If you want to buy more holidays, need medical treatment, or want to expand your savings, we have options. Non‑stop discounts, gym membership savings, and salary sacrifice car benefit are also available.

How we work

Our belief is that we are “Better when Together” and want to balance the benefits of teaming up in person with flexible working where possible. We will be supportive and flexible to your circumstances, so for roles that offer a hybrid option we ask colleagues to attend their base location a minimum of 3 days a week so they can connect, collaborate and learn together. The other 2 days can be worked either from home or another bank location. Some of our roles are customer facing which means that it’s really important to be able to work with customers face to face and hybrid working isn’t appropriate.

Equal opportunity statement

Danske Bank is proud to be an equal opportunity workplace. That means that, as a committed equal opportunities employer, we welcome applications from all suitably qualified candidates regardless of gender, ethnicity, background, nationality, generation, age, working style, religious background, sexual orientation, gender identity, gender expression, cognitive diversity and neurodiversity. If you have a disability, long‑term health condition or additional need that requires accommodation during any stage of the recruitment process, please advise us of this on your CV and a member of the team will be in touch to discuss.