AI Architecture & Engineering Lead (Senior Manager) - Financial Services Consulting 1726063
Location: Dublin, Ireland
Dublin (Hybrid: 2-3 days per week onsite)
Eligibility Requirements:
- Must be an EU or Irish Citizen, or hold a valid Stamp 4 Visa.
- Please note: Visa sponsorship is not available for this position.
Position Type: Full-Time, Permanent
Domain: Financial Services (Banking, Insurance, and Asset Management)
The Opportunity
We are seeking an experienced AI Architecture & Engineering Lead (Senior Manager) to join our rapidly growing Financial Services Technology Consulting practice.
This senior-level, client-facing role blends high-level AI strategy, solution architecture, pre-sales, and team leadership. You will partner with tier-1 financial institutions to design, pitch, and deliver enterprise-grade Generative AI and Agentic AI (autonomous multi-agent) solutions.
Key Responsibilities
- Client Advisory & Workshops: Lead executive-level workshops with financial services clients to assess AI readiness, identify high-value use cases, and design ethical AI adoption roadmaps.
- AI Architecture & Design: Architect complex, production-ready AI systems, including multi-step autonomous agent workflows, Large Language Model (LLM) integrations, and vector database structures.
- Pre-Sales & Commercial Growth: Act as the technical Subject Matter Expert during the sales cycle, supporting proposals, scoping client projects, and estimating development costs.
- Technical Governance & Ethics: Define technical QA standards, MLOps workflows, and compliance frameworks aligned with global regulations and the EU AI Act.
- Team Leadership: Mentor and develop junior technical staff, fostering a culture of continuous learning and high engineering standards.
Key Requirements
- Consulting Background: Proven track record as a billable, client-facing specialist within technical consulting or professional services.
- AI & GenAI Expertise: Deep technical experience designing LLM workflows, RAG systems, and autonomous multi-agent systems (orchestration, reasoning, and tool use).
- Cloud & MLOps: Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern MLOps pipelines.
- Low-Code/No-Code Tools: Familiarity with agent builder frameworks (e.g., LlamaIndex, Flowise) is highly preferred.
- Domain Knowledge: Previous consulting or direct experience within Financial Services (Banking, Insurance, or Wealth Management) is preferred.
- Academic Background: Degree in Computer Science, Data Science, Mathematics, Engineering, or equivalent senior industry experience.
What We Offer
- Competitive salary and performance-based rewards package.
- Flexible, hybrid working arrangements.
- Comprehensive benefits including pension scheme and health insurance.
- Clear path for career progression and continuous leadership development.
- An inclusive, collaborative, and innovation-driven team culture.
