AI Solutions Architect at Hunter Bond

Dublin, Dublin County, Ireland -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 27

Salary

98000.0

Posted On

21 Oct, 26

Experience

20 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

The RoleOwn AI solutions from initial use case intake through to production deployment
Translate business requirements into end-to-end solution architectures aligned to enterprise technology stack
Design and implement AI solutions across Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI services, and GCP
Lead solution design through Solution Design Authority (SDA) and internal architecture governance forums
Own architecture artefacts — design documents, technical specs, integration patterns, governance submissions
Drive AI governance processes — risk assessments, control alignment, production readiness
Act as technical point of accountability for solution design decisions across the delivery lifecycle
Design with full consideration of integration, data flows, identity, security boundaries, and operational resilience
Support prototyping, validation, and troubleshooting hands-on alongside engineering teams
Develop reusable architecture patterns and technical guidance for common AI use cases

What You'll BringStrong understanding of GenAI solution architectures — LLMs, agent-based patterns, workflow orchestration, enterprise AI integration
Practical experience with RAG, knowledge grounding, prompt engineering, human-in-the-loop design
Experience designing secure, governed AI solutions — guardrails, responsible AI, explainability
Proven delivery of complex technology solutions in a regulated enterprise environment, ownership from requirements through production
Hands-on solution architecture experience — translating business needs into implementable designs
Experience with enterprise AI platforms (Microsoft 365 Copilot, Copilot Studio, Azure AI, Power Platform, or equivalent)
Ability to lead through formal architecture governance processes (SDA or equivalent)
Experience with AI governance, risk, and control functions — security, data privacy, auditability, regulatory compliance
Strong technical foundation in enterprise architecture — cloud, infrastructure, networking, IAM, security

DesirableAI delivery within financial services or another highly regulated industry
Familiarity with AI governance frameworks — EU AI Act, GDPR, DORA
Azure AI/Azure OpenAI experience with RAG, grounding, prompt orchestration in practice
Enterprise data/knowledge architecture — semantic search, vector databases, embeddings
Exposure to Microsoft Graph, SharePoint, Teams/Outlook integration
Emerging Microsoft AI ecosystem exposure — Microsoft Foundry, Fabric, or equivalent

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Responsibilities