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Open nowPosted 61 days ago

AI Engineering

NoA Ignite Sweden8 open roles

Where
Stockholm, Sweden
Work mode
Hybrid
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Your applicationOpen nowAI EngineeringNoA Ignite Sweden · Stockholm, Sweden

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The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market. NoA Ignite Sweden postings stay open a median of 6 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 61 days ago

NoA Ignite Sweden median: 6 days open

The posting

NoA Ignite is a consulting, design and technology company with 450 employees across Norway, Sweden, Denmark, Finland and Poland, part of The North Alliance — a Nordic network of around 1,250 specialists in creativity and technology. We're sourcing a Principal-level Engineering Lead to join our team!

Role Overview You'll lead a delivery squad embedded with the client, working alongside their Technology and Digital leadership and architects. You'll still write code yourself, own architecture within the squad, drive the quality of specifications, enforce engineering standards, and be accountable for the squad's delivery quality and governance — not just your own output.

Key Responsibilities Day to day, you'll set the standard for how the squad uses AI: agentic coding tools like Claude Code, Cursor or GitHub Copilot for generation, refactoring, test authoring and review, spec-driven development from structured Markdown, YAML or JSON specifications rather than verbal tickets, and a habit of writing reusable skill files that capture patterns for the whole team. You'll configure MCP servers and AI gateways hands-on, design how specialist agents hand off work across the squad, and manage context deliberately on long-running tasks. Because the client runs its own technical assessment on every engineer you propose, you'll be expected to screen for the same depth you're hired for: live AI-assisted coding, architecture walkthroughs, and a real MCP and context-management discussion. You'll also stay credible across the squad's full stack — React on the frontend, Java Spring Boot on the backend, APIs, DevOps and cloud — so you can step into and review any part of the delivery, coach engineers on prompting and context management, and present progress to executive stakeholders.

Required Qualifications

  • 12–15 years of engineering experience, including 3+ years leading AI-assisted delivery teams
  • Expert, hands-on command of agentic coding tools, spec-driven development, skill-file authoring, MCP configuration, AI gateway routing and multi-agent orchestration — not theoretical familiarity
  • Proven breadth across React, Java Spring Boot, APIs, DevOps and cloud, with the credibility to lead architecture discussions with client architects
  • A track record of leading at least one programme where AI-assisted delivery was the primary engineering model, not a pilot
  • Delivery leadership experience in a regulated sector, ideally financial services, with contactable references

Nice to Have

  • React Native
  • Apache Camel K and ESB migration patterns
  • Flowable BPM / BPMN 2.0
  • Redis and pgvector for AI-backed features

Who We're Looking For This role suits someone who leads from the front rather than from a slide deck — still hands-on in the code, but equally comfortable holding a squad accountable for measurable delivery targets and presenting that progress to a client's leadership. You're the kind of engineer other engineers learn from: you coach on prompting and context management through example, you review and approve the skill files your team writes, and you're comfortable operating inside audit trails, approval gates and phase-gated delivery rather than treating governance as friction.

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