Galaxi Consulting Group
Artificial Intelligence Engineer

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🚀 Hiring: AI Solutions Architect – Sovereign AI
📍 Location: Belfast, UK
💼 Employment: Permanent
🏢 Domain: Telecommunications (Telecom)
💰 Salary: Market Rate
We are looking for a highly technical and hands-on AI Solutions Architect with proven experience designing, building, and operating Sovereign AI platforms within telecommunications, government, or other highly regulated environments.
🔑 Key Responsibilities & Skills
- Design and architect end-to-end Sovereign AI platforms covering infrastructure, data, security, model lifecycle, governance and AI applications.
- Define AI reference architectures, deployment blueprints and AI modernisation roadmaps.
- Deliver and operationalise NVIDIA AI Enterprise, NVIDIA NIM microservices and GPU-accelerated AI platforms.
- Design production-scale LLM inference, RAG, Agentic AI and domain-specific AI solutions.
- Architect solutions using Generative AI, Agentic AI, LLMs, fine-tuning, model serving, vector databases and AI orchestration frameworks.
- Strong hands-on experience with Kubernetes, OpenStack, containers, GPU infrastructure and cloud-native AI platforms.
- Apply AI across telecom use cases including Network Operations, Service Assurance, predictive maintenance, anomaly detection, root-cause analysis, autonomous networks and network digital twins.
- Strong understanding of OSS/BSS, fixed & mobile networks, network cloud infrastructure, security operations and telecom data/AI platforms.
- Ensure solutions align with TSA requirements, data sovereignty, critical national infrastructure security, risk management and AI governance.
- Provide technical consulting and advisory support to senior executives, engineering teams, regulators and government stakeholders.
- Lead technical teams, mentor engineers and drive adoption of AI technologies across large-scale telecom environments.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
⭐ Preferred Experience
- 10+ years of relevant architecture/AI/platform experience.
- Experience delivering Sovereign AI, National AI Platform or Trusted AI initiatives.
- Experience in government, defence, public sector or highly regulated industries.
- Hands-on experience with NVIDIA AI software libraries, NVIDIA AI Enterprise and GPU-based AI deployments.
- Experience with secure, air-gapped or highly regulated environments.
- Knowledge of AI governance, model risk management and Responsible AI frameworks.
- Experience with Digital Twins, Smart Cities or National Digital Infrastructure programmes.
- Experience with accelerated computing, GPU optimisation and AI infrastructure platforms.
- Prior AI consulting or technology advisory experience is highly desirable.
- MS/PhD in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, Statistics or a related technical discipline is preferred.


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🎯 Ideal Candidate
We are particularly interested in architects who can demonstrate real-world, hands-on delivery of Sovereign AI platforms, rather than candidates with only theoretical GenAI or enterprise architecture exposure.
📩 Interested candidates: Please share your updated CV / connect with us for further details.
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