Director of Cloud OperationsOpenkyber • GA, United States
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Director of Cloud Operations
Openkyber • GA, United States
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job_description.job_card.job_descriptionCollaborate with product managers, actuaries, and underwriting SMEs to translate insurance product requirements into AI-enabled functional components. Develop AI models that support rating algorithms, claims triage, eligibility checks, policy servicing workflows, and agent enablement. Ensure AI outputs comply with insurance regulations, underwriting guidelines, and internal governance. Lead development, training, validation, and deployment of ML models. Implement MLOps pipelines for automated model testing, monitoring, drift detection, and versioning. Optimize AI performance for accuracy, fairness, explainability, and scalability. Ensure data privacy and security compliance (e.g., HIPAA, GDPR, ISO standards depending on geography). Implement responsible AI frameworks including explainability, bias mitigation, and model auditability. Collaborate with risk and compliance teams to meet regulatory expectations for insurance AI models. Partner with engineering, actuarial science, underwriting, and IT operations teams. Provide technical leadership and mentoring to data scientists, ML engineers, and developers. Drive innovation through POCs, technology evaluations, and continuous modernization. 4+ years of experience in AI / ML engineering, architecture Expertise in ML frameworks, LLMs, NLP, and generative AI. Strong background in cloud architecture (Azure). Good experience using Azure AI Services and Azure Agent Frameworks- Mandatory with GHCP Experience implementing MLOps (CI / CD pipelines, model monitoring tools). Hands-on experience with APIs, microservices, and containerization (Docker, Kubernetes). Deep understanding of insurance processes in at least one line of business : Nic to have P&C (auto, home, commercial) Experience building or integrating models for underwriting, rating, or fraud detection. Strong analytical and problem-solving abilities. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Ability to lead cross-functional teams in a fast-paced environment. Bachelor s or master s in computer science, AI, or related field. Certifications in cloud architecture ( Azure Architect). Experience with interpretable ML techniques relevant to regulated industries. Background in actuarial science or insurance analytics is a strong plus.
Job Title : AI Architect
Location : Hartford, CT (1 st preference) and Atlanta, GA (2 nd Preference)
Duration : 6 Months
Key Responsibilities
AI Architecture & Solution Design
- Design end-to-end AI / ML architecture for insurance-specific use cases such as underwriting automation, risk scoring, fraud detection, customer personalization, and pricing optimization.
- Select and define the appropriate AI technologies, model architectures (LLMs, predictive ML, NLP, vision models), and data pipelines.
- Build scalable ML systems using cloud-native solutions (AWS, Azure, or Google Cloud Platform) and ML Ops frameworks.
Insurance Product Development
Model Engineering & Deployment
Security, Compliance & Risk Management
Cross-Functional Collaboration
Required Qualifications
Technical Skills
Insurance Industry Experience
Soft Skills
Preferred Qualifications
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