Senior AI Engineer

Location: Scotland (Edinburgh Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact.

This role is aligned to our Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations.

• →Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video
• →Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations
• →Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance
• →Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments
• →Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline
• Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments
• Strong software engineering expertise in Python, including backend development, API design, and distributed systems
• Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures
• Excellent communication, stakeholder management, and problem-solving skills within agile delivery environments

• Experience building AI agent frameworks or autonomous orchestration platforms
• Knowledge of vector databases, semantic search, and advanced RAG architectures
• Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads
• Familiarity with financial services, banking, or regulated enterprise environments
• Exposure to AI governance, model monitoring, and responsible AI practices