Forward Deployed Engineer — AI & Workflow Automation
Nion
- Location
- Onsite (Stockholm, Sweden)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Nion is an IT consultancy expanding its AI & Workflow Automation practice. The Forward Deployed Engineer role embeds within client teams to design, implement, and integrate AI-driven workflows that deliver measurable business value.
Skills
Benefits
- 30 days holiday
- Company laptop
- Company phone
- Subscription
Perks
- Part-ownership
Full job details
Nion is an IT consultancy with offices in Stockholm, Malmö, Gothenburg, Skopje, Bitola and Sofia, where 200+ IT specialists work together to deliver tailored digital solutions. Our clients operate in industries such as telecom, fintech and insurance, and we help organisations simplify complex challenges and create real business value.
We're now expanding our AI & Workflow Automation practice and are looking for an experienced Forward Deployed Engineer (FDE) for our Stockholm office.
A Forward Deployed Engineer works inside the client organisation — not at arm's length. You sit with their teams, learn how the business actually runs, and turn AI from a proof-of-concept into a trusted, working part of daily operations. This is the role at the centre of AI and workflow automation at Nion: the person who takes an ambition to "use AI" and produces something that delivers measurable value.
The hardest part of AI isn't the demo — it's the gap between a clever prototype and a secure process people actually use every day. Closing that gap is what this role is about.
What you'll do
Every Nion FDE brings four core skills, and you'll work across all of them:
Analysis — finding where AI and automation genuinely create value, and where they don't.
Process definition — designing the new, AI-first way of working before any tool is deployed.
Implementation — building, integrating and hardening agents, models and automations into the client's live environment.
Adoption — making it stick through enablement, change and handover, so the value outlasts the engagement.
You'll own outcomes end-to-end: discovery and workflow mapping, solution design, hands-on implementation with AI tooling, and the change work that gets people using it. Throughout, you account for business value, AI sovereignty, AI spend, governance and compliance — GDPR and the EU AI Act built in, not bolted on.
Your profile
Minimum 5 years in a delivery, consulting or solutions role where you've taken automation or AI solutions from discovery to production in real business environments
Strong process analysis and design skills — mapping workflows, quantifying value, and redesigning how work gets done
Hands-on experience implementing LLM-based and agentic solutions (prompt engineering, RAG patterns, multi-step/agent workflows, tool use)
Practical command of modern AI tooling and automation platforms (examples below)
Comfortable integrating AI into business systems via APIs and connectors
Experience driving adoption — enablement, stakeholder management, training and handover
Solid understanding of data protection, security and AI governance (GDPR, EU AI Act)
Confident working embedded in client teams and translating between business and technical stakeholders
Fluent in Swedish and English, written and spoken
This is not a deep software-engineering role. We're looking for someone who builds working solutions with AI tooling and integration — not someone writing large custom codebases from scratch. Comfort with light scripting (e.g. Python) to glue things together is expected, but the emphasis is on process, tooling and implementation.
Tools you'll work with
LLM platforms: Anthropic Claude, OpenAI / Azure OpenAI, Watson.X
Agent & orchestration frameworks: LangChain, LangGraph, AutoGen or similar
Workflow & automation platforms: n8n, Make, Power Automate, Zapier, or comparable iPaaS / low-code tools
RAG & retrieval: vector databases and embedding models (working knowledge)
Integration: REST APIs, webhooks, connectors to business systems
Supporting: Python for scripting/glue, Git, basic containerisation (Docker)
Meritorious
Anthropic Claude certification or equivalent AI platform credentials
Prior consulting or client-facing delivery experience
Domain experience in telecom, fintech or insurance
Experience with LLM evaluation, testing and guardrails
Familiarity with agile ways of working
We're looking for someone who is
Professional and committed to delivering solutions that meet real business needs
Accountable and self-driven — you take ownership of the big things and the small things
Communicative and a team player who's comfortable embedded with clients
Flexible and open to some travel in connection with client projects
With us you get
A collaborative, flat organisation where support is a given. Your consultant manager acts as a mentor to ensure your professional development and wellbeing.
A clear career path and continuous learning through projects, mentorship and skills development.
A vibrant company culture with strong team spirit, knowledge sharing and social activities that make work fun.
Selected benefits
Opportunity for part-ownership
Competitive fixed salary
30 days holiday
Company laptop, phone and subscription
Ready for the next step in your career? Send us your application.
We make AI work in the real world — that's Sustainable Acceleration, delivered by people, not slides.