# Pragmatic Solutions — Technical Architect (AI)

| Field | Value |
|---|---|
| **Date found** | 2026-05-27 |
| **Company** | Pragmatic Solutions |
| **Role** | Technical Architect (AI) |
| **Location** | EU Remote |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4419960290/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Gibraltar |
| **Founded** | 2014 |
| **Employees** | 201–500 (62 on LinkedIn) |
| **LinkedIn** | [linkedin.com/company/pragmatic-solutions-ltd](https://www.linkedin.com/company/pragmatic-solutions-ltd/) — 15,661 followers · 64 on LinkedIn |
| **Website** | pragmaticsolutions.com |
| **Blog** | Not found |

- **Product:** B2B iGaming platform (Player Account Management / PAM) providing core technology for online gaming and sports betting operators — wallet, CRM, bonus management, payments, KYC/AML, fraud prevention.
- **Customers:** Global iGaming operators requiring scalable, regulated platform technology; holds MGA, UKGC, and multiple European regulatory licences.
- **Notable:** Sister company of Pragmatic Play (leading games content provider); founded 2014 in Gibraltar; 72% headcount growth over 2 years; ISO/IEC 27001 and PCI certified.

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## Job Summary

**What they do:** Pragmatic Solutions provides an enterprise-grade iGaming platform (PAM) built on microservices; they are now building AI as a secure, scalable platform capability across the organisation.

**The role:** Technical Architect responsible for defining how AI (LLMs, RAG, agentic patterns) is safely enabled across a regulated iGaming platform — architecture, security guardrails, cost control, and team enablement.

**Core work:**
- Define the AI architecture blueprint: LLM enablement, RAG design, vector databases, embedding strategy, agentic patterns, and governance controls
- Create reusable patterns for moving AI from experimentation to production in a compliant, regulated environment
- Drive AI adoption across internal tooling, operator-facing capabilities, knowledge management, and platform automation

**Stack:** Python · LangGraph · LangChain · CrewAI · LLM APIs (OpenAI/Anthropic/Bedrock) · vector databases (Pinecone/Weaviate/pgvector) · AWS/Kubernetes/EKS · Kafka · RAG

**Work style:** Fully remote, EU-based; company is remote-first across multiple EU jurisdictions.

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## Score: 78%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 75% | Architecture for agentic patterns, RAG, LLM enablement — genuinely agentic scope, though more architecture than hands-on agent coding |
| Tech fit (25%) | 78% | LangGraph/LangChain/CrewAI explicitly listed; Claude/Anthropic, Pinecone/Weaviate, RAG, AWS — strong alignment with Luca's target stack |
| Remote fit (25%) | 95% | EU Remote, fully remote per listing |
| Company culture fit (15%) | 55% | Fast-growing (72% 2yr growth) but iGaming domain is regulated/compliance-heavy; not AI-native startup |
| IC/leadership balance (10%) | 80% | Technical Architect — senior IC, architecture influence, mentoring; no people management |
| **Final (weighted)** | **78%** | |

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## Strengths

- LangGraph, LangChain, CrewAI, Anthropic/Claude, Pinecone/Weaviate all explicitly listed — exceptional stack match
- Greenfield AI architecture mandate: define the blueprint from scratch
- Fully remote EU — no location constraints
- Agentic architecture + RAG + security guardrails combines Luca's key specialisms
- Regulated environment (KYC/AML, GDPR) aligns with Fenergo compliance document extraction work

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## Weaknesses & Risks

- iGaming domain is niche and not in Luca's background — regulatory constraints may slow delivery
- Salary undisclosed; iGaming B2B companies vary widely in compensation
- Architecture role with heavy documentation/ADR/stakeholder management emphasis — less hands-on building than pure engineering role
- Small LinkedIn presence (64 employees on LinkedIn) makes culture hard to assess
- "8+ years software engineering + 3+ years architecture" is a high bar — Luca meets it but competition will be strong

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## Suggestions

- Lead application with compliance + AI architecture credibility from Fenergo (KYC regulatory document parsing)
- Emphasise RAG pipeline design, vector DB selection, and production agentic system deployment
- Highlight security-aware AI design (relevant to their regulated, compliance-heavy context)
- Ask about: salary range, team size, how much time is hands-on engineering vs. documentation/governance work
- The CPO is the job poster — Michael Wallington — LinkedIn outreach may be effective

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Rejected | 2026-05-28 | Gaming company |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |