Job description

Responsibilities: • Conceptualize, design, and build AI frameworks using Azure AI tools and other available resources. • Able to produce POCs and conduct road shows and demos. • Able to produce quality artifacts like infrastructure landscaping, Network diagram, Physical Diagrams, Sequence Diagrams and custom Auth flows. • Lead and manage the execution and delivery of secure AI projects ensuring quality, timeliness, and cost-effectiveness. • Collaborate with data scientists, ML engineers, and other IT staff to utilize Azure services and architectural solutions. • Develop innovative, scalable machine learning and data solutions through Azure Machine Learning Service. • Well versed with Supervised and Un-Supervised Machine Learning techniques. • Translate complex business problems into effective AI models leveraging Azure AI and implement them into the IT infrastructure. • Provide technical expertise and architectural solutions in infrastructure, design, build, integration, and Re-Platforming of AI models using Azure technologies. • Implement Azure Databricks for better analytics and to enhance AI applications in the organization. • Ensure compliance with data governance principles in the field of AI, in particular, the secure handling of data using Azure Security Center. • Facilitate training and workshops on Azure technologies for team members to build their AI awareness and capabilities. • Understand large scale deployments globally and handle disaster recovery. • Able to work with internal security teams and other architects and developers. • Always stay on top of trends and advancements in AI and Azure cloud technologies to optimize efficiency and performance. • Train others in team with latest trends in AI technologies. • Good understanding of Authentication and authorization. • Good understanding with SaaS integrations like (SNOW & Sales Force).Qualifications: • Bachelor s or Master s Degree in Computer Science, Engineering, AI, Machine Learning, or related field. • Proven experience as an AI Engineer or similar role with extensive knowledge in Azure AI Services and Azure DevOps. • Proficiency in Azure AI software and platforms including but not limited to Azure Machine Learning, Azure Cognitive Services, Azure Bot Services, Azure Open AI. • Hands-on experience with programming languages (Python, C#, Node, React and Angular ) and Azure supported languages. • Expertise in Azure Data solutions and familiarity with Big Data frameworks (Hadoop, SPARK) is desirable. • Experience in system integration, Cloud-based technologies including Azure cloud services and Azure data visualization tools. • Excellent analytical and problem-solving abilities with attention to detail. • Strong interpersonal and leadership skills to facilitate effective team collaboration. • Demonstrated ability to stay current with the latest AI trends and advancements, particularly in Azure technologies.The ideal AI Architect should be a critical thinker with excellent problem-solving skills, and a motivator who stays continually up-to-date with the latest in AI and Azure technologies. This role requires a strategic thinker to implement innovative solutions throughout the organization.

Requirements