Manager - AI

• 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.