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AI Engineer for AI Assist Squad

ExperiencedNo visa sponsorship
Danske Bank logo

at Danske Bank

Investment Banking

Posted 3 days ago

No clicks

**AI Engineer for AI Assist Squad at Danske Bank, Vilnius** - **Design & Operate AI Assistants** using Microsoft Copilot Studio & Generative AI - **Develop Intelligent Workflows** with Microsoft Power Platform, Azure, & AWS - **Build & Maint. Cloud-Native AI Services** with MLOps & LLMOps practices - **Collaborate Cross-Functionally** to deliver AI products into production - **Explore Emerging AI Technologies** to drive continuous improvement **Requirements:** - **AI & Generative AI Experience** - **Microsoft Ecosystem Proficiency** incl. Azure AI services, Power Platform - **Cloud & Platform Engineering** skills with AWS, Docker, Kubernetes - **Search & Knowledge Systems** familiarity, e.g., Elastic Search, vector databases - **Strong Python Skills** & Engineering Excellence mindset **Join** our mission to shape banking's AI future, working hands-on with cutting-edge tech, solving complex challenges, and enjoying a comprehensive benefits package, including competitive salary (EUR 3,680–5,520 gross monthly).

Compensation
€3,680 – €5,520 EUR

Currency: € (EUR)

City
Vilnius
Country
Lithuania

Full Job Description

Location: Vilnius, Lithuania

Join the area shaping the future of customer facing AI at Danske Bank

At Danske Bank, we're building the next generation of AI-powered customer experiences. We believe banking should be more personal, proactive, and conversational. Through advanced AI, intelligent automation, and personalized engagement, we help millions of customers make better financial decisions every day.

As part of our AI Assist Squad, you'll play a key role in designing, building, and scaling AI-powered solutions that transform how customers interact with the bank. You'll work with cutting-edge technologies across the Microsoft and AWS ecosystems, including Microsoft Copilot Studio, Power Platform, Azure AI services and AWS, helping deliver intelligent assistants, AI-driven search experiences, and conversational solutions at enterprise scale.

This is an opportunity for an ambitious AI Engineer who wants to move beyond traditional machine learning and be at the forefront of Generative AI, conversational AI, agentic experiences, and modern AI platform engineering.

Be yourself. We like it that way.

 

What you'll do

As an AI Engineer, you'll bridge the gap between AI innovation and production-grade delivery. You'll work across the full AI lifecycle - from experimentation to enterprise-scale deployment.

You will:

  • Design, build, and operate AI-powered assistants and conversational experiences using Microsoft Copilot Studio and Generative AI technologies
  • Develop intelligent workflows and automations leveraging the Microsoft Power Platform ecosystem
  • Build scalable AI services and APIs on Azure and AWS
  • Develop and maintain data pipelines and retrieval systems to support AI use cases
  • Implement Retrieval-Augmented Generation (RAG) solutions vector search technologies, and knowledge management platforms
  • Build and maintain MLOps and LLMOps capabilities, including deployment, monitoring, evaluation, and lifecycle management of AI solutions
  • Engineer scalable cloud-native solutions using containers, Kubernetes, and CI/CD pipelines
  • Partner closely with Data Scientists, Product Owners, UX specialists, and Software Engineers to bring AI products into production
  • Explore emerging AI technologies and continuously improve our AI engineering practices, architectures, and tooling

 

What we're looking for

We're looking for a curious and hands-on engineer who is passionate about building AI products that create real customer value.

Ideally, you bring experience in several of the following areas:

AI & Generative AI

  • Experience developing and operationalizing AI, machine learning, or Generative AI solutions
  • Interest in conversational AI, AI agents, copilots, and large language model (LLM) applications
  • Familiarity with prompt engineering, RAG architectures, vector databases, and AI evaluation frameworks

Microsoft Ecosystem

  • Experience with Microsoft Azure, including Azure AI services and Azure Functions.
  • Hands-on experience with Microsoft Power Platform, including Power Automate, Power Apps, and Power Virtual Agents / Copilot Studio
  • Passion for leveraging Microsoft's rapidly evolving AI ecosystem to build enterprise-grade solutions

Cloud & Platform Engineering

  • Experience working with cloud platforms such as AWS and/or Azure
  • Familiarity with modern cloud-native architectures and microservices
  • Experience with Docker, Kubernetes, Infrastructure-as-Code, and CI/CD practices

Search & Knowledge Systems

  • Experience with Elastic Search, enterprise search, or vector search technologies
  • Knowledge of information retrieval, indexing, semantic search, or knowledge management solutions

Engineering Excellence

  • Strong Python development skills
  • Experience building reliable data pipelines and automation solutions
  • Understanding of monitoring, observability, performance optimization, and operational excellence
  • Strong problem-solving skills and a proactive mindset
  • Ability to collaborate effectively across business and technology teams

 

Why join us?

This is more than an AI engineering role - it's an opportunity to help shape the future of AI adoption in one of the largest financial institutions in the Nordics.

You'll get the chance to:

Work hands-on with Microsoft Copilot Studio, Power Platform, Azure AI, AWS, and modern Generative AI technologies

Build intelligent assistants and AI-powered customer experiences used by millions of customers

Collaborate with highly skilled engineers, data scientists, and product teams

Solve complex real-world challenges at enterprise scale

Continuously develop your skills through certifications, conferences, training, and internal mobility opportunities

 

What we offer

Salary: EUR 3,680 5,520 gross monthly (depending on experience and competencies).

Additionally, each Danske Bank employee receives employee benefits package which includes:

  • Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
  • Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
  • Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
  • Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
  • Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.

See all the benefits HERE.

Your job function (position) in the job contract will be AI Science.

We review applications continuously, so we encourage you to apply as soon as possible.

If you have any questions about the role, feel free to reach out to Rasmus Winther Brink or Philip Theut Stehr Nielsen.

 

Ready to help build the future of AI in banking?

Join us in creating intelligent, scalable, and responsible AI solutions that redefine how customers interact with their bank.

AI Engineer for AI Assist Squad

Compensation

€3,680 – €5,520 EUR

City: Vilnius

Country: Lithuania

Danske Bank logo
Investment Banking

3 days ago

No clicks

at Danske Bank

ExperiencedNo visa sponsorship

**AI Engineer for AI Assist Squad at Danske Bank, Vilnius** - **Design & Operate AI Assistants** using Microsoft Copilot Studio & Generative AI - **Develop Intelligent Workflows** with Microsoft Power Platform, Azure, & AWS - **Build & Maint. Cloud-Native AI Services** with MLOps & LLMOps practices - **Collaborate Cross-Functionally** to deliver AI products into production - **Explore Emerging AI Technologies** to drive continuous improvement **Requirements:** - **AI & Generative AI Experience** - **Microsoft Ecosystem Proficiency** incl. Azure AI services, Power Platform - **Cloud & Platform Engineering** skills with AWS, Docker, Kubernetes - **Search & Knowledge Systems** familiarity, e.g., Elastic Search, vector databases - **Strong Python Skills** & Engineering Excellence mindset **Join** our mission to shape banking's AI future, working hands-on with cutting-edge tech, solving complex challenges, and enjoying a comprehensive benefits package, including competitive salary (EUR 3,680–5,520 gross monthly).

Full Job Description

Location: Vilnius, Lithuania

Join the area shaping the future of customer facing AI at Danske Bank

At Danske Bank, we're building the next generation of AI-powered customer experiences. We believe banking should be more personal, proactive, and conversational. Through advanced AI, intelligent automation, and personalized engagement, we help millions of customers make better financial decisions every day.

As part of our AI Assist Squad, you'll play a key role in designing, building, and scaling AI-powered solutions that transform how customers interact with the bank. You'll work with cutting-edge technologies across the Microsoft and AWS ecosystems, including Microsoft Copilot Studio, Power Platform, Azure AI services and AWS, helping deliver intelligent assistants, AI-driven search experiences, and conversational solutions at enterprise scale.

This is an opportunity for an ambitious AI Engineer who wants to move beyond traditional machine learning and be at the forefront of Generative AI, conversational AI, agentic experiences, and modern AI platform engineering.

Be yourself. We like it that way.

 

What you'll do

As an AI Engineer, you'll bridge the gap between AI innovation and production-grade delivery. You'll work across the full AI lifecycle - from experimentation to enterprise-scale deployment.

You will:

  • Design, build, and operate AI-powered assistants and conversational experiences using Microsoft Copilot Studio and Generative AI technologies
  • Develop intelligent workflows and automations leveraging the Microsoft Power Platform ecosystem
  • Build scalable AI services and APIs on Azure and AWS
  • Develop and maintain data pipelines and retrieval systems to support AI use cases
  • Implement Retrieval-Augmented Generation (RAG) solutions vector search technologies, and knowledge management platforms
  • Build and maintain MLOps and LLMOps capabilities, including deployment, monitoring, evaluation, and lifecycle management of AI solutions
  • Engineer scalable cloud-native solutions using containers, Kubernetes, and CI/CD pipelines
  • Partner closely with Data Scientists, Product Owners, UX specialists, and Software Engineers to bring AI products into production
  • Explore emerging AI technologies and continuously improve our AI engineering practices, architectures, and tooling

 

What we're looking for

We're looking for a curious and hands-on engineer who is passionate about building AI products that create real customer value.

Ideally, you bring experience in several of the following areas:

AI & Generative AI

  • Experience developing and operationalizing AI, machine learning, or Generative AI solutions
  • Interest in conversational AI, AI agents, copilots, and large language model (LLM) applications
  • Familiarity with prompt engineering, RAG architectures, vector databases, and AI evaluation frameworks

Microsoft Ecosystem

  • Experience with Microsoft Azure, including Azure AI services and Azure Functions.
  • Hands-on experience with Microsoft Power Platform, including Power Automate, Power Apps, and Power Virtual Agents / Copilot Studio
  • Passion for leveraging Microsoft's rapidly evolving AI ecosystem to build enterprise-grade solutions

Cloud & Platform Engineering

  • Experience working with cloud platforms such as AWS and/or Azure
  • Familiarity with modern cloud-native architectures and microservices
  • Experience with Docker, Kubernetes, Infrastructure-as-Code, and CI/CD practices

Search & Knowledge Systems

  • Experience with Elastic Search, enterprise search, or vector search technologies
  • Knowledge of information retrieval, indexing, semantic search, or knowledge management solutions

Engineering Excellence

  • Strong Python development skills
  • Experience building reliable data pipelines and automation solutions
  • Understanding of monitoring, observability, performance optimization, and operational excellence
  • Strong problem-solving skills and a proactive mindset
  • Ability to collaborate effectively across business and technology teams

 

Why join us?

This is more than an AI engineering role - it's an opportunity to help shape the future of AI adoption in one of the largest financial institutions in the Nordics.

You'll get the chance to:

Work hands-on with Microsoft Copilot Studio, Power Platform, Azure AI, AWS, and modern Generative AI technologies

Build intelligent assistants and AI-powered customer experiences used by millions of customers

Collaborate with highly skilled engineers, data scientists, and product teams

Solve complex real-world challenges at enterprise scale

Continuously develop your skills through certifications, conferences, training, and internal mobility opportunities

 

What we offer

Salary: EUR 3,680 5,520 gross monthly (depending on experience and competencies).

Additionally, each Danske Bank employee receives employee benefits package which includes:

  • Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
  • Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
  • Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
  • Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
  • Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.

See all the benefits HERE.

Your job function (position) in the job contract will be AI Science.

We review applications continuously, so we encourage you to apply as soon as possible.

If you have any questions about the role, feel free to reach out to Rasmus Winther Brink or Philip Theut Stehr Nielsen.

 

Ready to help build the future of AI in banking?

Join us in creating intelligent, scalable, and responsible AI solutions that redefine how customers interact with their bank.