AI Solution Lead/Architect

1. Conceptualize, design, and build AI frameworks using Azure AI tools and other available resources.
2. Able to produce POCs and conduct road shows and demos.
3. Able to produce quality artifacts like infrastructure landscaping, Network diagram, Physical Diagrams, Sequence Diagrams and custom Auth flows.
4. Lead and manage the execution and delivery of secure AI projects ensuring quality, timeliness, and cost-effectiveness.
5. Collaborate with data scientists, ML engineers, and other IT staff to utilize Azure services and architectural solutions.
6. Develop innovative, scalable machine learning and data solutions through Azure Machine Learning Service.
7. Well versed with Supervised and Un-Supervised Machine Learning techniques.
8. Translate complex business problems into effective AI models leveraging Azure AI and implement them into the IT infrastructure.
9. Provide technical expertise and architectural solutions in infrastructure, design, build, integration, and Re-Platforming of AI models using Azure technologies.
10. Implement Azure Databricks for better analytics and to enhance AI applications in the organization.
11. Ensure compliance with data governance principles in the field of AI, in particular, the secure handling of data using Azure Security Center.
12. Facilitate training and workshops on Azure technologies for team members to build their AI awareness and capabilities.
13. Understand large scale deployments globally and handle disaster recovery.
14. Able to work with internal security teams and other architects and developers.
15. Always stay on top of trends and advancements in AI and Azure cloud technologies to optimize efficiency and performance.
16. Train others in team with latest trends in AI technologies.
17. Good understanding of Authentication and authorization.
18. Good understanding with SaaS integrations like (SNOW & Sales Force).

1. Bachelor s or Master s Degree in Computer Science, Engineering, AI, Machine Learning, or related field.
2. Proven experience as an AI Engineer or similar role with extensive knowledge in Azure AI Services and Azure DevOps.
3. Proficiency in Azure AI software and platforms including but not limited to Azure Machine Learning, Azure Cognitive Services, Azure Bot Services, Azure Open AI.
4. Hands-on experience with programming languages (Python, C#, Node, React and Angular ) and Azure supported languages.
5. Expertise in Azure Data solutions and familiarity with Big Data frameworks (Hadoop, SPARK) is desirable.
6. Experience in system integration, Cloud-based technologies including Azure cloud services and Azure data visualization tools.
7. Excellent analytical and problem-solving abilities with attention to detail.
8. Strong interpersonal and leadership skills to facilitate effective team collaboration.
9. Demonstrated ability to stay current with the latest AI trends and advancements, particularly in Azure technologies.

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