AI Solutions Engineer at Danske Bank
Belfast, Northern Ireland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

17 Sep, 25

Salary

0.0

Posted On

17 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Models, Computer Science, Performance Metrics, Continuous Improvement, Training, Openshift, Reviews, Airflow, Infrastructure, Non Functional Requirements, Professional Development, Docker, Aws, Emerging Technologies

Industry

Information Technology/IT

Description

WHAT SKILLS AND 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 optimization, containerisation, deployment, versioning, monitoring of model quality and non-functional requirements.

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Responsibilities

YOUR ROLE:

AI Solutions Engineer
Data Analytics, Technology & Digital Development

WHAT DOES THE ROLE LOOK LIKE?

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’LL DO

Including but not limited to:

  • Understand organisational and financial services challenges and spearhead how integrating AI capabilities can help lead to successful solutions.
  • Deliver robust software engineering solutions that meet business requirements and enhance system performance.
  • 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.
  • Design and implement cloud-based solutions, with a focus on deploying AI agents and knowledge bots within the AWS and Microsoft technology stack.
  • 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.Ensure projects are delivered at pace, aligning with the bank’s strategic objectives, demonstrating agility and problem-solving skills to overcome challenges.

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