Technical Lead - AI, Digital and Customer Experience

Overview

Lead design & delivery of AI-powered digital customer experiences.

Key Responsibilities

• solution architecture
• mlops
• integration
• inference pipelines
• technical leadership
• ai innovation

Tasks

-Act as a bridge between business vision and engineering execution, translating goals into scalable, secure, and maintainable architectures. -Lead the architecture and delivery of engaging, scalable digital experiences and software applications that directly impact customer satisfaction and loyalty. -Promote the adoption of AI-powered development tools, MLOps / LLMOps practices, and scalable deployment architectures to improve developer productivity and accelerate innovation. -Champion the integration of third-party vendor products, AI/ML frameworks, and custom-built solutions in a high-availability environment that supports critical business functions. -Drive cross-functional collaboration with developers, designers, product owners, and stakeholders to ensure seamless execution of digital features across web platforms. -Led PoC and pilot projects to evaluate model performance, latency, and cost, and built scalable inference pipelines with monitoring and caching. -Maintain a hands-on approach to architecture, design, and technical leadership, ensuring the right mix of velocity, quality, and long-term sustainability. -Shape and refine technical direction by evaluating AI-driven innovations, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and information retrieval systems, making informed decisions that blend creativity with practicality.

Requirements

• python
• llm
• aws
• agile
• bachelor’s
• 5+ years

What You Bring

-Experience in setting, tracking, and delivering against OKRs (Objectives and Key Results) to ensure alignment with strategic business priorities and measurable outcomes. -Bachelor’s degree in Computer Science, Management Information Systems, or a related field. -Strong technical communication skills and the ability to collaborate effectively across multi-disciplinary and global teams. -Deployed and scaled LLM-powered solutions (OpenAI, Hugging Face, Azure OpenAI) in production. -Hands-on experience with solution architecture, system design, and enterprise integration patterns. -Proven success in delivering technology solutions using Agile methodologies in distributed environments, including coordination with offshore/onshore developers, vendors, and QA teams. -Exceptional communication and influence skills, with the ability to align technical strategy with business goals and engage stakeholders at all levels. -Practical experience with AI/ML technologies, with strong judgment on when to apply emerging solutions versus optimizing established systems. -Experience working with authentication and authorization protocols such as OAuth 2.0 and SAML. -Proven expertise in Python for AI/ML workflows, leveraging frameworks such as TensorFlow, PyTorch, or Scikit-learn. -Knowledge of Retrieval-Augmented Generation (RAG) architectures and vector database integrations (e.g., Pinecone, FAISS, Milvus, Amazon OpenSearch). -Familiarity with Snowflake, data modeling, and integration best practices. -A demonstrated passion for creating AI-enhanced, customer-centric digital platforms. -Hands-on experience deploying and scaling LLM-powered solutions (e.g., OpenAI, Hugging Face, Azure OpenAI) in production environments. -Proven ability to lead complex technical projects and mentor engineering teams in fast-paced, dynamic environments. -Proficiency in HTTP APIs, Secured RESTful services, and systems integration especially on AWS. -Experience in scaling AI deployments using cloud-native services (AWS SageMaker, Azure ML, Dataiku) and applying MLOps/LLMOps practices for lifecycle management. -Deep expertise in modern application architecture, microservices, and cloud platforms (AWS, GCP, Azure). -5+ years of experience in a technical leadership role, guiding cross-functional development teams.

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Sector Specialisms

Security Clearance

-all job offers are contingent upon successful completion of background verification.