AI Engineer

ARC's purpose is to expedite access to precision medicine clinical trials for patients globally. We fulfil our purpose through our dedicated team of experts with unparalleled domain knowledge, and the important relationships we have developed with our global clients.

We are a Belfast-based Clinical Research Organisation that specialises in delivering compliance excellence for companies in the precision medicine sector. We support many of the world's leading pharmaceutical R&D companies in implementing unapproved diagnostics in their clinical development programmes for patient selection or stratification, working as a strategic and integrated expert partner, taking full sponsor ownership of the IVD study being conducted in parallel with our clients' IND/IMP trial.

ARC's team of experts cover IVD regulatory compliance, study design and approvals, quality assurance including vendor due diligence and management along with a team of clinical research experts who manage the IVD study, ensuring it is conducted in compliance with local and global GCP, and that the biomarker data is robust and reliable.

To further support our growing client base and to expedite patient access to life-saving experimental medicines, ARC has developed and launched our SaaS platform, ARC360. ARC360 is transforming how organisations access regulatory intelligence and tailor study-specific information for using in vitro diagnostics to select and manage patients in IND trials. Powered by cutting-edge technologies and supported by a team of regulatory, quality, and clinical operations experts, ARC360 is designed to accelerate the initiation of complex clinical trials.

Job Purpose

As part of this growth, We are seeking an experienced AI Engineer to develop and deploy AI solutions in a highly regulated environment. This role requires a deep understanding of AI regulations, 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 with LLM security, AI governance frameworks, and regulatory compliance, along with a .NET environment background. You will play a key role in building and maintaining AI-driven applications, ensuring they meet both technical excellence and 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 optimize 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).
• Optimize 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 optimization.
• 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 anonymization, 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.
• Good knowledge of common ML algorithms.
• Version Control & CI/CD: Familiarity with Git, DevOps pipelines, and automated deployment workflows
• Working knowledge of nVidia tech stack.

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 ARC Regulatory?

• Competitive Salary
• 32 days of annual leave, increasing to 35 days over time
• Employer pension contributions
• Employee Benefits Program (after probation)
• Hybrid working model (after probation)
• Training budget for professional development
• Office located in Catalyst Belfast – a hub of innovation
• Free Carparking

ARC Regulatory is an equal opportunities employer and is committed to fostering an inclusive and diverse work environment were all employees feel valued, respected and empowered to succeed. We welcome applicants from all backgrounds, genders and experiences to apply for all active roles within our company.