Location: Remote
Must be in OH for occasional meetings!
Domain: Healthcare (Need Strong healthcare experince)
Duration: 12+ Momths
Position Summary
We are seeking an AI Developer to design, build, and deploy modern AI-enabled solutions that leverage enterprise data across cloud and hybrid environments. This role will focus on developing scalable AI applications, including retrieval-augmented generation (RAG), intelligent data pipelines, vector-based search, and cloud-native ML/AI systems.
The ideal candidate brings a blend of AI engineering, data engineering, and platform expertise, with experience building production-grade solutions using modern cloud, integration, and governance tools.
Key Responsibilities
- Design and develop AI-powered applications using modern ML/AI engineering practices, including RAG architectures, vector search, and feature management.
- Build and maintain scalable data pipelines to support AI and analytics workloads, including ETL/ELT, streaming, and lakehouse patterns.
- Develop and integrate solutions across cloud, hybrid, and legacy enterprise systems, including ERP, mainframe, and CDC-based ecosystems.
- Implement and manage vector databases, orchestration frameworks, and feature stores to support production AI use cases.
- Partner with platform and infrastructure teams to deploy solutions using containerization, Kubernetes, and infrastructure as code.
- Ensure strong data governance, including lineage, cataloging, and access controls for enterprise AI data assets.
- Optimize architecture for performance, scalability, and cloud cost efficiency, especially for variable AI workloads.
- Collaborate with business, engineering, and architecture stakeholders to translate requirements into practical AI solutions.
- Deploy solutions in cloud and containerized environments using tools like Docker, Kubernetes, and Terraform
Required Qualifications
- 3+ years of experience in software engineering, data engineering, or AI/ML development
- Hands-on experience building AI or data-driven applications in enterprise environments
- Strong proficiency in one or more programming languages such as Python, SQL, or Java
