AI Technical Lead

Overview

As AI Technical Lead, you will design, develop and deploy enterprise-grade AI solutions, from PoCs to production, for large organisations. You’ll lead technical direction across the delivery lifecycle and mentor delivery teams. You will work with cross-functional partners to translate business needs into scalable AI applications while ensuring security, governance, and lifecycle practices. This role offers impact at scale, shaping how clients harness AI responsibly within a trusted technology partner.

Pay / Benefits

• Quarterly performance-related profit share
• Career progression and mentorship programs
• Flexible/remote working
• Pension
• Private healthcare cover
• Life assurance

Responsibilities

• Lead end-to-end design, development, testing, and deployment of secure, scalable AI solutions on approved platforms.
• Build and integrate LLM, RAG, and multi-agent systems using Semantic Kernel, LangChain, or similar.
• Develop AI-powered applications, APIs, and backend services.
• Guide PoC and pilot projects from feasibility to production transition.
• Collaborate with Business Analysts, SMEs, and stakeholders to translate requirements into production-ready AI solutions.
• Work with architects, data engineers, product owners, and QA to deliver end-to-end AI solutions.
• Provide technical leadership, mentoring, code reviews, and guidance to delivery teams.
• Assess feasibility, data readiness, and constraints when defining AI solutions.
• Apply engineering best practices for AI deployment, monitoring, security, and lifecycle management.
• Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards.
• Maintain technical documentation and share knowledge across teams.

Key requirements

• 8+ years in the application development lifecycle.
• Experience leading development teams and providing technical leadership.
• Proven track record delivering enterprise-scale solutions.
• Strong hands-on experience developing AI-powered applications and services.
• Backend development experience for AI apps and orchestration of LLMs/multi-agent systems.
• Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, Vertex AI, or similar AI platforms.
• Experience in prompt engineering and working with multiple AI models.
• Proven ability to scale PoCs into production solutions.
• Proficiency in Python and modern AI development frameworks.
• Experience with cloud platforms (Azure, AWS, GCP).
• Experience API-based integration of enterprise systems.
• Strong communication with business stakeholders.

• strong communication
• collaboration
• mentoring and coaching
• Python
• LLM orchestration
• Azure OpenAI

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