SG
Job Description
- Team Leadership & Citizen Development: Lead and mentor the cross-functional AI team while defining and executing a citizen development strategy to empower business users.
- Requirement Analysis: Gather and translate AI requirements to ensure alignment with business objectives.
- Solution Development & Implementation: Oversee the end-to-end delivery of AI solutions, from data integration to deployment.
- Platform Support: Support AI platforms for performance, reliability, and seamless integration.
- Security & Compliance: Enforce data privacy, security best practices, and governance throughout the AI lifecycle.
- Architecture Design: Collaborate on creating scalable, secure AI architectures that balance performance and cost-effectiveness.
- Quality Assurance & Testing: Develop and execute robust testing strategies to ensure solution quality and swiftly address defects.
- Integration & Connectivity: Ensure seamless system interoperability and implement effective CI/CD practices.
- Monitoring & Maintenance: Establish monitoring systems to track performance and proactively optimize AI solutions.
- Documentation & Stakeholder Communication: Maintain clear technical documentation and facilitate effective communication between technical teams and business stakeholders.
What you need:
Required Qualifications:
- Minimum 12 years of experience in leading teams designing, implementing, maintaining, and enhancing AI or software solutions with minimum 4 years of people management experience.
- Proficiency in Python or C#, with solid experience in Azure cloud services (Copilot Studio, Azure AI Services, Azure Machine Learning).
- Familiarity with DevOps practices and CI/CD pipelines (Azure DevOps or equivalent).
- Demonstrated ability in agile environments to translate business requirements into functional specifications, leading to efficient and effective implementation of automation projects throughout the software development life cycle.
- Preferred Qualifications:Bachelor s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master s degree in Science preferred).
- Azure certifications (e. g. , Azure AI Engineer Associate) are highly advantageous.