Not every organization can afford to permanent hire an Enterprise / cloud / AI architect, more so, there are times when their scale of business don’t demand a full time architect. That’s where Arvia steps in and provide a working solution at an affordable cost.
Arvia is a marketplace for top Cloud and AI Architects. Top companies and startups choose Arvia’s Architecture freelancers for their mission-critical software projects.
If you think, you have the required cloud or AI architect skillset, then please share below details and we’ll get back to you at the earliest or send your updated resume at careers@arviatech.in.
Please refer below for more details around the expected Roles and Responsibilities
Role Description
This is a temporary remote role for a Cloud or AI Architecture Consultant at Arvia Technologies. The consultant will be responsible for designing, implementing, and managing cloud or AI solutions for clients. Day-to-day tasks include evaluating system requirements, analyzing technical architecture, and recommending best possible strategies on the basis of meaningful data points.
Qualifications
Cloud Architects
- Cloud Architecture Design, Implementation, and Management skills
- System Requirement Evaluation and Technical Architecture Analysis
- Cloud Strategy Development
- Experience with leading cloud platforms (e.g., AWS, Azure, GCP)
- Excellent problem-solving and communication skills
- Ability to work independently and remotely
- Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect)
AI Architects
- Deep knowledge of machine learning, deep learning, and statistical modeling techniques.
- Expertise in tools like TensorFlow, PyTorch, Keras, and Scikit-learn
- Aligning AI initiatives with business goals and creating long-term roadmaps.
- Working closely with product managers, data engineers, and business leaders to deliver results.
- Explaining complex AI concepts clearly to both technical and non-technical stakeholders.
- Ability to work independently and remotely
- Designing RESTful APIs and microservices to serve AI functionalities.
- Building and managing scalable ETL/ELT pipelines for AI ingestion using Apache Airflow, Kafka, or Spark.