Senior AI Enablement Engineer

Gears of Leo AB; Stockholms kommun; On-site; SEK 700,000 - 900,000; Full time

Benefits offered by this job

Hybrid work policy

4 weeks of Workation

30 annual vacation days

Occupational Pension

5,000 SEK wellness contribution

Parental Leave Top‑Up

1,500 SEK equipment allowance

Job summary

Gears of Leo AB in Stockholms kommun is seeking an engineer to lead the adoption of AI throughout the development organization. This hands-on role entails identifying workflows suitable for automation and building solutions that facilitate team efficiency.

The ideal candidate will have 8+ years of software engineering experience, particularly in AI implementation, and excellent collaboration skills. The position offers a hybrid work policy and generous vacation benefits.

Qualifications

• 8+ years of professional software engineering experience with a track record of delivering complex systems.
• Hands-on experience moving AI from prototype to real-world tool.
• Excellent interpersonal skills and ability to collaborate with teams.

Responsibilities

• Map workflows and identify opportunities for AI-driven automation.
• Lead the technical design and implementation of AI solutions.
• Drive genuine adoption of AI tooling across teams.

Skills

Java

Python

Go

TypeScript

SDLC/DevOps

Collaboration

Tools

GitLab

GitHub

CI/CD pipelines

Job description

We are seeking a hands‑on, technically fluent engineer to drive the adoption of AI across our entire development organization – someone who finds the friction in how teams work and turns it into automated, AI‑powered solutions.

Our Mission

Accelerate how the entire development organization works by finding high‑impact use cases for AI, building the solutions that automate them, and spreading those wins so they scale across teams.

Responsibilities

• Use Case Discovery: work directly with engineering and product teams to map their workflows, spot repetitive or slow processes, and identify the highest‑impact opportunities for AI‑driven automation across the development organization.
• Rapid Prototyping & Delivery: act as a builder – lead the technical design and implementation of working solutions such as prompt workflows, lightweight agents, scripts, and integrations that prove value fast, then partner with the AI Efficiency Architects to harden anything that needs to run in production.
• Reusable Enablement Assets: create templates, playbooks, and repeatable patterns so a proven AI win can spread from one team to many without bespoke work each time.
• Adoption & Measurement: drive genuine adoption of AI tooling across teams and tie every solution back to concrete outcomes – time saved, throughput, and delivery speed – so impact is visible and quantifiable to leadership.
• Feedback to the Platform: surface recurring needs and friction back to the AI Efficiency Architects, so the internal AI gateway and tooling evolve toward what teams actually need.
• Technical Mentorship & Influence: mentor senior engineers on AI best practices and influence engineering roadmaps.

Qualifications

• Staff‑Level Engineering Foundations: 8+ years of professional software engineering experience (Java, Python, Go, or TypeScript) with a proven track record of delivering complex, distributed systems in a production environment.
• Production‑Ready AI Expertise: Deep, hands‑on experience moving AI from a cool prototype to a real‑world tool. You don't just write basic prompts – you know how to build reliable agents and RAG workflows, and you understand the practical side of LLMs, like managing costs, speed, and context limits to make tools actually work for production.
• Strategic Problem‑Solving: Strong bias for action and can take a vague problem and turn it into a working solution fast. While focusing on delivering value quickly rather than chasing perfection, you always think big – building smart, reusable tools that fix root problems for hundreds of developers, not just one team.
• Collaboration & Communication: Excellent interpersonal skills and ability to work alongside many different teams, understand their needs, and bring them along on the adoption journey.
• SDLC/DevOps Familiarity: Working knowledge of the tools that underpin the software delivery lifecycle (e.g., GitLab/GitHub, CI/CD pipelines, source control) so that solutions fit naturally into how teams already work.
• Self‑Direction: Capacity to manage a varied portfolio of work across multiple teams, prioritize for impact, and deliver with minimal supervision.

Nice to Have

• Excellent presentation and training skills
• Previous experience running enablement, developer experience, or internal tooling initiatives

Benefits

• Hybrid work policy
• 4 weeks of Workation (T&C apply)
• 30 annual vacation days
• Occupational Pension
• 5,000 SEK wellness contribution annually
• Parental Leave Top‑Up
• Possibility to enrol in a private health care insurance for both you and your partner
• 1,500 SEK equipment allowance
• Benify – benefits portal with many offers and discounts

Our company is an English‑speaking environment; a CV in English is required.