Job Description
Description
Role Overview
Our client in the technology consulting space is seeking a Backend Platform SME specialising in Generative AI platforms who brings strong technical leadership, architectural expertise, and the ability to operate effectively in complex, fast-paced environments.
What will your typical day look like?
Work in a fast-growing and exciting organisation with professionals who are eminent in their respective field
Have challenging and interesting work in a team environment
Continue your development throughout your career to reinforce and expand your chosen career path
Role Specific Responsibilities:
Lead design and development of backend APIs and logic leveraging large language models, Azure Cognitive Services, and Azure Search for AI-powered solutions such as candidate screening and process automation.
Drive architectural design and implementation of Generative AI-based platforms, ensuring seamless integration with cloud services and enterprise applications.
Automate provisioning of Azure cloud components and machine learning environments for AI Lab platforms.
Collaborate with cross-functional teams to identify opportunities for AI adoption, conduct feasibility analysis, and deliver high-impact solutions.
Take ownership as the first point of contact for platform troubleshooting, technical guidance, and best practices, ensuring swift resolution and stakeholder satisfaction.
Manage production issues, prioritise incidents, and deliver rapid resolutions whilst continuously improving system performance, monitoring, privacy, and security.
Oversee technical backlog, estimation, and sprint planning as an onshore technical lead, driving discussions and taking charge during critical situations.
Provide clear communication and direction to technical teams, demonstrating vocal and assertive leadership in high-pressure situations.
Requirements
Required Skills:
Strong hands-on experience with MS Copilot Studio and Google Gemini.
Proficiency in backend development and API design.
Experience integrating cloud and AI services.
Solid understanding of system architecture, scalability, security, and monitoring best practices.
Demonstrable experience automating cloud infrastructure and provisioning machine learning environments (preferably Azure).
Proven ability to lead technical teams and take initiative in Agile/Scrum environments.
Excellent problem-solving, communication, and stakeholder management skills.
Demonstrated ability to be vocal, assertive, and take charge in high-pressure situations.
Preferred Skills:
Experience in HR tech or recruitment automation projects.
Azure or other relevant cloud certifications.
Background in enterprise-scale platform development.
Experience managing production systems with critical uptime requirements.
Duration: 6 month contract
Work Model: Hybrid (1 day onsite)
