What are the responsibilities and job description for the Azure AI Architect position at OmegaHires?
Responsibilities
Preferred Qualifications and Skills
- Translate the business requirements for AI applications into viable AI solutions within Azure
- Select appropriate Azure technologies, considering deployment models and their seamless integration with existing tools
- Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions
- Gather feedback from diverse stakeholders to ensure that the technical implementation aligns with both current and future AI requirements
- Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance
- Gain an understanding of and contribute to LLM operations, focusing on the infrastructure and operational capabilities required to deploy Azure AI solutions
- Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization
- Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery
- Establish the Azure OpenAI service in Microsoft Azure with an architecture tailored to support business teams
Preferred Qualifications and Skills
- At least 5 years of experience in implementing cloud-based AI workloads on Azure, delivering production grade solutions
- Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field
- At least 1 year of experience in implementing Azure OpenAI solutions
- Generative AI, Deep Learning, Machine learning, LLMOps
- LLM Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must. Experience in other LLMs would be a plus.
- Certifications in AI/ML technologies and Cloud platforms, such as Azure AI Engineer Associate (AZ-102)
- Certification in Azure Solutions Architect Expert and other cloud platforms e.g. AWS, Google would be a plus.
- Programing experience in one of the languages - Python, R, Java, C#
- Cloud Services Expertise: Azure OpenAI, Document Intelligence, AI Search, Cosmos DB, App service, Managed Identities, Customer Managed Keys, Azure IaaS and PaaS solutions, Copilot Studio
- Experience in CI/CD Tools Bitbucket, Terraform is a must.
- Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional, stress and performance testing
- Strong knowledge of business analysis, requirement gathering, and gap analysis
- Strong communication, presentation, and interpersonal skills
- Fast learner, individual as well as a team player and can work under pressure
- Power Automate development experience would be a plus
