AI Engineer Location: Belfast, Northern Ireland Job Purpose My client are seeking an AI Engineer to develop and deploy AI solutions in a highly regulated environment. This role requires expertise in AI governance, compliance standards, and security best practices, with a strong focus on Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and secure AI architectures. The ideal candidate will have hands-on experience in LLM security, AI governance frameworks, and regulatory compliance, along with a background in working within a .NET environment. You will play a key role in building and maintaining AI-driven applications, ensuring both technical excellence and adherence to strict compliance standards. Key Responsibilities Develop AI solutions in a regulated environment, ensuring adherence to AI governance and compliance frameworks. Design and implement Retrieval-Augmented Generation (RAG) architectures to optimise information retrieval for LLMs. Work with Large Language Models (LLMs), fine-tuning, deploying, and integrating them into enterprise systems. Ensure LLM security by implementing safeguards against prompt injections, data leaks, and adversarial attacks. Collaborate with compliance and security teams to align AI solutions with regulatory requirements (e.g., GDPR, HIPAA, ISO 27001, SOC 2). Optimise AI models for performance, scalability, and cost-effectiveness. Work within a .NET environment, integrating AI solutions with existing Microsoft-based infrastructure and applications. Develop AI pipelines and APIs to facilitate smooth AI deployment and integration. Stay up to date with emerging AI regulations, ethical considerations, and industry standards. Conduct risk assessments for AI deployments, ensuring compliance with governance policies. Essential Skills & Experience AI Development & Deployment - Strong hands-on experience developing and deploying AI/ML models. RAG Expertise - Experience in Retrieval-Augmented Generation and related vector databases (e.g., Pinecone, FAISS, Weaviate). LLMs & NLP - Experience working with LLMs (OpenAI, Anthropic, Hugging Face, etc.), including model tuning, security, and optimisation. Regulatory Knowledge - Understanding of AI governance, compliance frameworks, and security best practices. .NET Experience - Familiarity with .NET technologies and their integration with AI systems. Data Security & Privacy - Experience implementing AI security measures, including data anonymisation, encryption, and access control. Cloud & Infrastructure - Knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices. Strong Programming Skills - Proficiency in Python, C#, or other relevant languages for AI development. API & Integration Experience - Experience with REST APIs, GraphQL, and microservices architectures. Version Control & CI/CD - Familiarity with Git, DevOps pipelines, and automated deployment workflows. Desirable Skills Experience in AI for finance, healthcare, legal, or other highly regulated industries. Familiarity with AI ethics frameworks (e.g., EU AI Act, NIST AI Risk Management Framework). Knowledge of MLOps, AIOps, and AI observability tools. Experience with vector databases and knowledge graph technologies. Certifications in AI ethics, cloud security, or compliance (e.g., CISSP, CISM, AI Governance Certifications). Why Join Us? Competitive Salary 30 days of annual leave, increasing to 35 days over time Employer pension contributions Employee Benefits Programme (after probation) Hybrid working model (after probation) Training budget for professional development This is a unique opportunity to build AI solutions in a growing, forward-thinking company. If you're ready to take ownership of AI strategy and make a real impact, reach out to Ryan Quinn on LinkedIn today, or apply via the link below. Skills: AI .Net Azure
