Azure AI Solutions Architect

Responsibilities:

- Design and implement end-to-end Artificial Intelligence (AI) solutions on the Microsoft Azure platform
- Collaborate with cross-functional teams to identify business needs and develop innovative AI solutions that meet those needs
- Develop technical architectures, blueprints, and roadmaps for AI projects using Azure services such as Cognitive Services, Machine Learning, and Data Factory
- Lead the development and deployment of machine learning models in production environments
- Provide technical guidance and mentorship to other team members on AI best practices and emerging technologies
- Stay up-to-date with industry trends in AI technology advancements and incorporate them into project designs
- Communicate complex technical concepts to non-technical stakeholders in a clear manner
- Ensure all projects are delivered within scope, budget, and timeline constraints while meeting quality standards.

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering or related field.
- Minimum of 5 years experience working as an architect designing cloud-based solutions.
- Strong understanding of artificial intelligence concepts including machine learning algorithms, natural language processing (NLP), computer vision etc.
- Hands-on experience developing end-to-end AI solutions using Microsoft Azure services such as Cognitive Services, Machine Learning Studio/Service etc.
- Experience deploying machine learning models into production environments using tools like Docker or Kubernetes.
- Proficient in programming languages such as Python or R for data analysis and model development.
- Familiarity with DevOps principles for continuous integration/continuous delivery (CI/CD).
- Excellent problem-solving skills with the ability to think creatively when faced with challenges.

Qualifications:

In addition to the requirements listed above, we are looking for candidates who possess the following qualifications:

- Proven track record of successfully delivering large-scale enterprise AI projects.
- Experience working with Azure Databricks, HDInsight or other big data platforms is a plus.
- Microsoft Certified: Azure AI Engineer Associate certification is preferred.
- Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders at all levels of the organization.
- Ability to work independently and manage multiple priorities in a fast-paced environment.

If you are passionate about leveraging cutting-edge technology to solve complex business problems, we want to hear from you! Please submit your application for consideration.