We are seeking a Cloud AI Solutions Engineer to design, develop, and deploy AI models and applications across multiple cloud platforms. This is a fully remote, contract position with a major U.S. public sector education organization. The ideal candidate will have 5+ years of professional experience in AI development, cloud computing, or software engineering.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
JS Technology Solutions is seeking an offshore Cloud AI Solutions Engineer for a long-term staff augmentation engagement with a major U.S. public sector education organization (300,000+ students, 600+ schools).
You will play a key role in the technical development and deployment of enterprise AI solutions across multiple cloud platforms, working closely with internal design and program teams.
This is a fully remote, contract position. Offshore candidates are preferred.
Key Responsibilities:
- Design, develop, and deploy AI models and applications, focusing on LLMs and RAG architectures
- Manage and optimize AI workloads across Google Cloud (Vertex AI), Microsoft Azure, AWS, and Oracle Cloud
- Develop secure APIs and microservices to integrate AI capabilities into existing enterprise platforms
- Implement data retrieval mechanisms, manage vector databases, and maintain knowledge graphs
- Utilize Infrastructure as Code (IaC) and CI/CD pipelines for automated, reproducible deployments
- Ensure all work follows strict security and data privacy standards
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Requirements:
- 5+ years of professional experience in AI development, cloud computing, or software engineering
- Hands-on experience building and deploying LLMs and RAG systems in production
- Proficiency in Python and AI frameworks (TensorFlow, PyTorch, or LangChain)
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Strong understanding of microservices architecture, API development, and vector databases
- Bachelor's degree in Computer Science, IT, or related field
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Preferred Certifications (any of the following):
- Azure AI Engineer Associate (AI-102)
- AWS Certified Machine Learning – Specialty
- Google Cloud Professional ML Engineer
- Certified Kubernetes Administrator (CKA)
Engagement Details:
- Contract / C2C basis
- Fully remote
- Long-term engagement
- Competitive hourly rate
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