Sr Azure Architect

Responsibilities:

Architectural Design & Leadership: Lead the design and development of end-to-end scalable, secure, and cost-effective Azure-based architectures for Generative AI solutions, including large language models (LLMs), image generation, and other AI-driven applications.

Generative AI Expertise: Provide deep subject matter expertise in Generative AI technologies, including model selection, training methodologies, fine-tuning, prompt engineering, and deployment strategies.

Azure Service Mastery: Demonstrate comprehensive knowledge of Azure services relevant to AI/ML, such as Azure Machine Learning, Azure OpenAI Service, Azure AI foundary, AI Hub, Prompt Flow, Azure Kubernetes Service (AKS), Azure Data Lake Storage, Azure Databricks, Azure Functions, Azure Cosmos DB, Azure SQL Database, and relevant networking and security services.

Cost Optimization: Design architectures with a keen eye on cost efficiency, proactively identifying and implementing strategies for optimizing Azure resource consumption for AI workloads.

Security by Design: Embed security best practices into all architectural designs, ensuring compliance with industry standards and organizational security policies. This includes data encryption, access control, network security, and threat mitigation strategies.

Review Board Approvals: Prepare and present detailed architectural designs and security postures to Architecture Review Boards and Security Review Boards, effectively addressing feedback and securing necessary approvals.

Technical Guidance & Mentorship: Provide technical leadership, guidance, and mentorship to development teams, ensuring successful implementation and adherence to architectural standards.

Stakeholder Collaboration: Collaborate effectively with product owners, data scientists, machine learning engineers, and other stakeholders to translate business requirements into technical solutions.

Staying Current: Continuously research and evaluate emerging Azure services, Generative AI technologies, and industry trends to recommend innovative solutions.

Qualifications:

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Experience:

10+ years of experience in IT architecture, with at least 5 years focused on Azure cloud solutions.

Proven experience in designing and implementing architectures for Generative AI solutions.

Extensive experience presenting and gaining approvals from architectural and security review boards.

Technical Skills:

Deep understanding of Generative AI concepts, algorithms, and frameworks (e.g., Transformers, GANs, Diffusion Models).

Hands-on experience with Azure OpenAI Service and other relevant Azure AI services.

Strong proficiency in scripting/programming languages such as Python.

Expertise in cloud security principles and best practices on Azure.

Solid understanding of networking concepts, identity and access management (IAM), and data governance in Azure.

Certifications (Preferred):

Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure AI Engineer Associate

Soft Skills:

Excellent communication, presentation, and interpersonal skills.

Strong analytical and problem-solving abilities.

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrated ability to influence and lead without direct authority.