Nitor Group Oy logo

AI Architect - Nitor Group Oy - Helsinki, Finland

Posted: April 30, 2026
Posted 69 days ago
Last seen in crawl: July 7, 2026 (1d ago)
Estimated Expiry: June 4, 2026
Location
Remoteness
Role & Management
Role Level:Senior
Management Tier:No People Management
Job Type
Required Languages

Job Description

You will be involved in designing and building scalable AI systems at Nitor, bridging business strategy and AI engineering, mentoring, and developing AI architecture practices.

Company Information

Nitor Group Oy logo
Activities of head offices
Listing: Technology
Aleksanterinkatu 46, 00100 Helsingfors
Business ID: 2443018-7
Headcount: 17
Current open roles at Nitor Group Oy on JobCrawls
LocationActive listings
Remote - Global9
Helsinki, Finland5
Stockholm, Sweden1
Remote - Finland1
Current role mix at Nitor Group Oy on JobCrawls
Role typeActive listings
Data Engineer1
Mobile Developer1
Software Architect1
Human Resources Specialist1
G.O.A.T. Collective1
Data Scientist1
Product Engineer1
Open application1
AI Engineer1
Full Stack Developer1
DevOps Engineer1
AI Architect1
Cloud Architect1
Azure Architect1
MLOps Engineer1
Current role-level mix at Nitor Group Oy on JobCrawls
Role levelActive listings
Mid-Level11
Senior3

Nitor Group Oy appears in 16 indexed job postings in JobCrawls' Finland dataset since August 2025. In that historical index, the strongest location signals for this employer are Remote - Global, Helsinki, Finland, and Stockholm, Sweden.

About

Includes details from the Finnish Trade Register.

Osakeyhtiö

Activities of head offices

Financial Overview (2024)

Nitor Group Oy was profitable in 2024 with revenue of €4.4M and a profit margin of 0.0%.

€4.4MRevenue€95.0KProfit0.0%Profit Margin

Data shown is based on historical job postings from our database.

Job Details

Requirements

  • Deep understanding of LLM-based system design: RAG architectures, multi-agent systems, tool use, balancing deterministic and probabilistic workflows.
  • Experience with agent frameworks like LangGraph, LangChain, OpenAI Agents SDK, Google ADK, or Claude Agent SDK.
  • Knowledge of AI platforms such as Microsoft Foundry, AWS Bedrock, or Gemini Enterprise Agent Platform.
  • Experience with agent memory architectures and context graphs, familiarity with vector search and graph database integration.
  • Understanding of LLMOps and EvalOps practices, including testing, monitoring, and observability of AI systems in production.

Education Level

None required
1 day agoContent Complete

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