Responsibilities :

Hands-on experience with cloud platforms (A zure ) is a must
Azure infrastructure design and deployment using automation tools like Terraform and ARM template.
Experience in designing and implementing ML platforms, cognitive APIs
Experience in implementing 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, AKS)
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 .
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.
Works with multiple teams to deep dive into architecture and provides economically viable solution with scalability, availability and reliability.

Requirement :

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
3-4 years of AI in Cloud preferred

Sr.Solution Architect