AI Technical Lead
12 month Day Rate Contract
Dublin Hybrid - €600-€650 per day
Overview
We are seeking an experienced AI Technical Lead to drive the implementation of advanced AI capabilities supporting our enterprise transformation programs. The ideal candidate will have deep expertise in modern AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. This role will focus on leveraging cutting-edge AI frameworks to deliver business value through intelligent automation, enhanced user experiences, and optimized workflows in our financial services applications.
About the Role
As an AI Technical Lead, you will be responsible for designing, implementing, and scaling AI solutions across our enterprise systems. You will work at the intersection of emerging AI technologies and practical business applications, guiding cross-functional teams in the adoption of responsible AI practices while ensuring technical excellence and innovation.
Primary Responsibilities AI Strategy & Architecture
Design comprehensive AI architectures incorporating LLMs, vector databases, and agentic frameworks
Establish patterns for effective AI integration with existing enterprise applications
Develop robust RAG implementations for knowledge-intensive business processes
Balance innovation with practical delivery of strategically agreed capabilities to ensure measurable business value
Technical Leadership in AI
Lead the evaluation and selection of appropriate AI models, tools, and frameworks
Design end-to-end AI workflows incorporating prompt engineering, context handling, and tool use
Guide the responsible implementation of generative AI capabilities in businesscritical systems, project SDLC and system workflows
Establish best practices for AI development, testing, and deployment
Advanced AI Implementation
Develop LLM-powered applications with sophisticated reasoning capabilities
Create RAG systems with effective vector retrieval, context management, and response generation
Build agentic AI workflows that can perform multi-step tasks with appropriate tool use
Implement AI-powered document intelligence and information extraction systems
Design hybrid AI architectures combining symbolic and neural approaches where appropriate
Develop generative AI solutions for intuitive UI creation and personalized user experiences
AI Technical Expertise
Implement fine-tuning and model adaptation strategies for specialized domains
Develop robust evaluation frameworks for AI system performance and reliability
Create effective prompt engineering strategies for consistent and controlled AI outputs
Design and implement AI guardrails and safety mechanisms for enterprise applications Team Leadership
Mentor development teams in advanced AI implementation techniques
Collaborate with data scientists, MLOps engineers, and business analysts
Evangelize AI best practices and responsible AI principles across the organization
Provide technical oversight for internal and vendor-provided AI solutions
Required Skills & Experience AI & ML Expertise
5+ years of hands-on experience with ML/AI technologies
Demonstrated experience implementing production LLM applications
Proven ability to design and develop RAG systems with effective vector retrieval
Experience designing agentic AI workflows with tool-using capabilities
Working knowledge of prompt engineering techniques and best practices
Hands-on experience with LLM frameworks (LangChain, LangGraph, Llama Index, Semantic Kernel, etc.)
Experience in full stack development is a plus, should be able to work with UI engineers and API leads to build UIs including conversation AI usecases
Understanding of model fine-tuning, quantization, and optimization approaches Technical Foundation
Strong software engineering background with proficiency in Python, JavaScript/TypeScript
Experience with vector databases (Pinecone, Weaviate, Qdrant, etc.)
Knowledge of modern AI development tools (GitHub Copilot, Claude/GPT APIs, Hugging Face)
Experience with containerization and orchestration (Docker, Kubernetes)
Understanding of MLOps practices for AI application deployment
Architecture & Integration
Experience integrating AI capabilities into enterprise systems
Knowledge of API development and microservices architecture
Cloud platform experience (AWS)
Understanding of event-driven architectures and messaging patterns
Experience with observability and monitoring for AI systems Leadership & Soft Skills
Proven track record leading technical teams on innovative projects
Excellent communication with technical and non-technical stakeholders
Ability to translate business requirements into AI-enabled solutions
Experience working in Agile/Scrum environments
Problem-solving skills and innovative thinking Qualifications
Bachelor's or Master's degree in Computer Science, AI, or related field
Relevant certifications in AI/ML beneficial
Experience leading enterprise-scale AI implementation projects
Demonstrated commitment to continuous learning in the rapidly evolving AI landscape
For more info call Michael on 01 6146058 [email protected]
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