Asks for

The ad says“Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.”
The ad says“Strong background in AI/ML engineering, data science, or AI architecture, with experience building AI solutions that run in production.”
The ad says“Solid understanding of AI governance, security, and responsible AI practices in enterprise environments.”
The ad says“Strong background in AI/ML engineering, data science, or AI architecture, with experience building AI solutions that run in production.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Proven experience in designing end-to-end AI architectures, including data pipelines, model lifecycle, MLOps, and application integration.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Hands-on experience with Python, modern AI frameworks, CI/CD, containers, and infrastructure-as-code.”
The ad says“Hands-on experience with Python, modern AI frameworks, CI/CD, containers, and infrastructure-as-code.”
The ad says“Proven experience in designing end-to-end AI architectures, including data pipelines, model lifecycle, MLOps, and application integration.”
The ad says“Strong background in AI/ML engineering, data science, or AI architecture, with experience building AI solutions that run in production.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.”
The ad says“Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Hands-on experience with Python, modern AI frameworks, CI/CD, containers, and infrastructure-as-code.”
The ad says“Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.”
The ad says“Proven experience in designing end-to-end AI architectures, including data pipelines, model lifecycle, MLOps, and application integration.”
The ad says“Proven experience in designing end-to-end AI architectures, including data pipelines, model lifecycle, MLOps, and application integration.”
The ad says“Hands-on experience with Python, modern AI frameworks, CI/CD, containers, and infrastructure-as-code.”
The ad says“Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.”
The ad says“Solid understanding of AI governance, security, and responsible AI practices in enterprise environments.”
The ad says“Solid understanding of AI governance, security, and responsible AI practices in enterprise environments.”
The ad says“Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.”
The ad says“Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.”

WE MAKE AI REAL

Siili is at the forefront of AI-powered digital development. Here, AI isn’t just a buzzword – it’s embedded in how we design, build, and scale solutions together with our clients.

We are implementing our AI-centric strategy by focusing on three key areas:

Staying on the cutting edge of technical innovation – from Generative AI and agentic systems to scalable AI platforms – while continuously developing our competencies.
Transforming how software is built, reinventing value chains and commercial models through AI-assisted and AI-native development.
Strengthening our ability to envision impactful and ethical AI solutions, ensuring that technology delivers measurable business value and is used responsibly.

At Siili, we bring humans, data, and AI together in meaningful ways. We help our customers turn ambitious ideas into production-ready AI solutions that are reliable, scalable, and aligned with real business goals. Our work spans from enterprise-grade AI platforms and MLOps foundations to LLM-powered applications embedded into core processes.

While we are technology-agnostic, our everyday tools include Azure, AWS, Databricks, Snowflake, and modern AI platforms and frameworks.

What will you do as an AI Architect at Siili?

As an AI Architect, you take a leading role in shaping how AI is designed, built, and scaled in our customer environments. This role goes beyond choosing models or tools – it’s about defining end-to-end AI architectures that connect data, models, platforms, and business processes into coherent, production-ready solutions.

You will work closely with business stakeholders, data scientists, AI engineers, and platform teams to translate goals into sustainable AI architectures. You define the architectural vision, patterns, and guardrails that ensure AI solutions are secure, scalable, observable, and maintainable over time.

At the same time, you stay close to the hands-on reality: guiding teams, reviewing designs, and helping solve complex challenges related to LLM applications, MLOps, data flows, and cloud platforms. In this role, you balance strategic thinking with practical execution – ensuring that AI is not just innovative, but truly usable and valuable in everyday operations.

What we’re looking for

We are now looking for an experienced AI Architect to join our Data & AI community. In this role, you combine architectural leadership with deep understanding of modern AI engineering and platforms.

We hope you recognize yourself in most of these:

Strong background in AI/ML engineering, data science, or AI architecture, with experience building AI solutions that run in production.
Proven experience in designing end-to-end AI architectures, including data pipelines, model lifecycle, MLOps, and application integration.
Deep understanding of LLM-based systems, such as RAG architectures, agentic workflows, evaluation and monitoring, fine-tuning, and tool use.
Experience with cloud-native AI platforms (Azure, AWS, or GCP), and services such as Azure AI Foundry, Amazon Bedrock, Databricks, or Snowflake.
Hands-on experience with Python, modern AI frameworks, CI/CD, containers, and infrastructure-as-code.
Solid understanding of AI governance, security, and responsible AI practices in enterprise environments.
Ability to define architectural patterns, best practices, and standards – and communicate them clearly to both technical teams and business stakeholders.
Strong consulting and communication skills: you can guide decisions, build trust, and help clients understand what AI can (and cannot) do.
Fluent in Finnish and English

What we offer

A technically strong and collaborative community: You’ll work with experienced AI, data, and software professionals who value knowledge sharing, autonomy, and peer support.
Opportunities to lead and influence: You’ll shape AI architectures, guide teams, and influence how AI is delivered across industries and clients.
Real-world impact, not just experiments: You’ll help deliver AI solutions that scale, integrate into real processes, and create measurable business value.
Continuous learning with top-tier partners: We support your growth through mentoring, training, and hands-on access to the latest technologies via partnerships with Microsoft, Databricks, Nvidia, and others.
Practical benefits: Flexible hybrid work, well-being support, hobby clubs, family-friendly services like daycare support for sick children, and a company share option program.
A company with a mission: You’ll have a genuine opportunity to shape how AI is built and used in a leading IT service company.
A culture shaped by Joy, Ambition, Responsibility, and a Humane touch: At Siili, meaningful work, psychological safety, and responsible action are the foundation for sustainable success.

At Siili, you’re not just designing AI systems.

You’re shaping how AI becomes real – in production, at scale, with impact.

Make AI Real.