What are the responsibilities and job description for the Cloud Solutions Architect (AI/ML) position at Eagle Eye Technologies?
HHSC has issued a request for a Cloud Solutions Architect with AI / ML and Deep Learning experience .
Responsibilities include (but are not limited to) :
- Design and implement scalable, secure, and resilient cloud infrastructure while developing and executing migration strategies.
- Provide technical guidance, and drive innovation through emerging technologies like AI / ML.
- Enforce security and compliance standards while continuously optimizing cloud system performance for scalability and reliability.
Minimum Candidate Characteristics :
Exceptional Candidate Characteristics :
Expected Duration : 6 months / 1024 hours
Location : This is a hybrid role (2 days onsite).
Deadline : Friday 1 / 17 by 5 : 00 PM.
I. DESCRIPTION OF SERVICES
The cloud solution architect will be responsible for :
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements :
Candidates that do not meet or exceed the minimum stated requirements (skills / experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required / Preferred
Experience
Required
experience architecting enterprise application solutions across on-premises and cloud infrastructure
Required
architecting solutions in one or more of the cloud platforms : GCP, Azure, and AWS.
Required
developing cloud native application architectures across leading cloud platforms.
Required
architecting solutions that utilize fit-for-purpose service models such as IaaS, PaaS, and SaaS
Required
experience in all phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using Azure or AWS or google technologies.
Preferred
Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls.
Preferred
Understanding of cloud security frameworks, encryption, identity and access management (IAM), and compliance standards like GDPR, HIPAA, etc.
Preferred
Familiarity with CI / CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools like Terraform or CloudFormation.
Preferred
Proficiency in languages such as Python, Java, C#, and scripting languages for automation.
Preferred
Knowledge of API design, development, and management, including RESTful and SOAP APIs.
Preferred
Knowledge of microservices, serverless architectures, and cloud-native application development.
Preferred
Ability to analyze and optimize cloud costs while maintaining performance and reliability.
Preferred
Excellent verbal and written communication skills to articulate cloud strategies and solutions to stakeholders.
Preferred
Ability to work effectively with cross-functional teams, including developers, administrators, and business leaders.
Preferred
Skills in monitoring and analyzing system performance to ensure optimal cloud operations.
Preferred
Experience with Azure Machine Learning, Azure Cognitive Services, or AWS technologies like SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, and AI services like Transcribe etc or Google technologies like Vertex AI platform, Agent Builder, and othe
Preferred
Cloud Certification eg AWS Certified Solutions Architect, Azure Solutions Architect Expert or Google Professional Cloud Architect
Please send your resumes to :
vikas.k@eagleiitech.com / azhar@eagleiitech.com
