Sr Azure Cloud Architect

Sr Cloud Architect

Location: USA

No Years: 12 15 yrs The Infrastructure Cloud Technical Architect is a systems logistics subject matter expert that designs, implements and maintains Azure Infrastructure systems for business clients. Responsible for designing the structure of new technology, overseeing the implementation of programs, and liaising with software development teams. Seeking a visionary Intelligence Technical Architect with deep expertise in Azure Cloud to lead the design and delivery of enterprise-scale AI solutions. You will play a pivotal role in architecting intelligent systems that leverage machine learning, generative AI, and cognitive services while ensuring alignment with enterprise strategy, security, and compliance. This role is ideal for someone who thrives at the intersection of AI innovation, cloud architecture, and technical leadership.

Qualifications

Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred

Experience in software development, systems architecture, or a related field. 8-10+ years required

2-3 years of AI in Cloud preferred

Knowledge, Skills and Abilities for Success - Strong knowledge of software development methodologies, including Agile and Scrum. - Strong knowledge of software architecture principles and best practices, including microservices, APIs, and service-oriented architecture (SOA). - Experience with cloud computing platforms especially with Azure data plane and control plane. - Strong knowledge of security principles and best practices, including authentication, authorization, and data encryption. - Excellent communication, collaboration, and interpersonal skills, with the ability to work effectively with other members of the IT team, business stakeholders, and external partners. - Strong leadership and mentorship skills, with the ability to provide technical leadership and mentorship to other members of the IT team.

AI Specific Skills and Abilities;

Hands-on experience with cloud platforms (preferably Azure, but also AWS or Google Cloud Platform)

Azure infrastructure design and deployment using automation tools like Terraform and ARM template.

Experience in designing and implementing ML platforms, cognitive APIs, container orchestration, serverless functions, API gateways, VMs, networking VPC, Azure RBAC, EntraID, App service plans ..etc.

Experience with MLOps, CI/CD, model monitoring, and automation

API integration and containerization (Docker, Kubernetes)

Strong foundation in supervised/unsupervised learning, NLP, GenAI, and LLMs is a plus.

Skilled in prompt engineering, model fine-tuning, and evaluation

Building data pipelines and integrating structured/unstructured data

Understanding of data governance and regulatory compliance (HIPAA, GDPR)

Technical leadership across architecture and engineering teams

Effective collaboration with cross-functional teams (product, data, DevOps)

Strong communicator with experience presenting to technical and business stakeholders