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At AKQA we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients. Our roles and responsibilities are rapidly changing during this age of rapid AI growth, adoption, capability and market options. AI Landscape and Production AI implementation experience is essential.
Job Responsibility:
Main driver for the end-to-end
ideation, technical innovation, design, scoping, development, deployment and maintenance of solutions
Overall responsibility for the day-to-day technical ownership and direction of a project
Lead the architecture of the project and contribute to code
Work closely with Business, Project Management, Creative, UX, and Data teams
Run on-shore, off-shore and hybrid development teams
Contribute to Technical Strategy, ideation, pitching, pre-sales activities and engineering, thought leadership, profile creation and speaking engagements
Requirements:
Client facing
Thought Leadership and promotion of AKQA Technology
AI Implementor
AI Usage - proficient elevated workflow and development tooling
AI Enabled Experience Development & Integration - vendor and cloud landscape knowledge, systems design, integration & model customisation
AI Architecture - Agentic AI creation and Orchestration
AI Content & Data Engineering - experience of collecting, cleansing, transforming and embedding
AI Cost x Value calculations
AI Governance and Testing models
Design and implement first-class end-to-end Solutions and MACH Architectures
Ability to create prototypes or bug fixes
Ability to integrate innovative solutions into the technical architecture
Ability to analyse, appraise and make recommendations
Ability to evaluate and validate the technical complexities of multi-tiered web solutions and systems integration
Ability to gather requirements and break them down into technical tasks
Ability to operate within different software delivery methodologies
Ability to recognise technical risk and plan to mitigate
Able to decide the resource profile required and provide estimates
Line manage and coach Developers
Ability to manage one or two development team(s)
Strive to learn new skills and stay abreast of technical developments
Ability to compare and select the most appropriate supplier or product
Ability and techniques to improve processes
Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify
Cross-platform AI experience across AWS, Microsoft Azure, Google
Advanced Python programming
AI frameworks such as AutoGen, Langflow, Tensorflow
Knowledge of Infrastructure as Code, CI/CD
Use of Middleware and RESTful or GraphQL APIs
Microservices and MACH Architectures
HTML, CSS, Javascript frameworks such as React
or Mobile technologies such as SwiftUI, Kotlin, Flutter or React-native
CMS, DXPs and common MarTech
SaaS products integration
Atlassian, Azure DevOps, GitLab or similar workflow tools
Understanding of Automation and Quality assurance practices