Associate Business Director - Technology

We are looking for an experienced AI Lead to own the technical direction and delivery of artificialintelligence initiatives across complex, large-scale engagements. This is a hands-on leadership role responsible for architecting AI solutions, leading engineering teams, and delivering robust integrations between AI capabilities and enterprise systems operating under significant production load.Key ResponsibilitiesTechnical Leadership - Lead, mentor, and grow a multidisciplinary team of AI/ML engineers, data scientists, and integration developers, ensuring technical excellence and consistent delivery standards. AI Solution Architecture - Define end-to-end architectures for AI and machine learning solutions, covering data ingestion, model serving, orchestration, and integration with enterprise applications.Enterprise AI Integration - Own the design and delivery of large-scale integrations between AI services and core business systems, including CRM, ERP, content platforms, data warehouses, and customer-facing digital channels.Generative AI & LLM Delivery - Drive the design and implementation of large language model solutions, including retrieval-augmented generation, agentic workflows, fine-tuning strategies, and structured evaluation frameworks.Model Development Oversight - Guide the full model lifecycle from problem framing and feature engineering through training, validation, deployment, and continuous improvement.Scalability & Performance Engineering - Ensure AI workloads meet throughput, latency, availability, and cost targets under production load through inference optimisation, caching, batching, and capacity planning.MLOps & Automation - Establish MLOps practices covering CI/CD for models, versioning, reproducibility, automated retraining, monitoring, and drift detection.Data Strategy Collaboration - Partner with data engineering teams to define data pipelines, feature stores, and governance controls that support reliable and reusable AI capabilities.Responsible AI & Governance - Embed responsible AI practices across engagements, including bias assessment, explainability, data privacy, security controls, and compliance with applicable regulations.Solutioning & Pre-Sales Support - Support estimation, technical discovery, proposals, and solution presentations, translating business objectives into feasible and commercially viable AI roadmaps.Stakeholder Engagement - Work closely with product owners, architects, engineering leads, and business stakeholders to align AI initiatives with measurable business outcomes.Qualifications 6+ years of experience in software, data, or machine learning engineering. 4+ years of hands-on experience delivering production AI/ML solutions. 2+ years in a technical lead, principal engineer, or equivalent leadership role. Proven track record delivering large-scale AI programmes in enterprise or multi-client environments. Demonstrated experience integrating AI services with high-volume enterprise systems and handling production-grade inference workloads. Experience working in Agile/Scrum delivery environments with cross-functional teams.