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AI Solutions Architect - Remote
Jobs via Dice - Jersey City, New Jersey, United States, 07390
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Nava Software Solutions, is seeking the following. Apply via Dice today!
NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots. Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS. Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue. Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
Lead design reviews, technical workshops, and blueprint sessions. Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock. Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring. Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce). Collaborate with enterprise architects to align AI with broader IT modernization initiatives.
Deployment & Operations
Containerize models using Docker, deploy via Kubernetes (AKS/EKS). Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols. Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads. Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
8 10 years in AI/ML and software/system architecture. 5+ years in solution/technical leadership roles.
Education:
Bachelor's in Computer Science, Data Science, or Engineering. Master's or PhD in AI/ML preferred.
Cloud Expertise:
Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB
Tools & Frameworks:
Languages: Python (mandatory), Java or C++ ML Frameworks: TensorFlow, PyTorch, Scikit-learn Big Data & Streaming: Spark, Kafka, Hadoop MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning Specialty Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI Community & Research: Contributions to open-source projects or AI/ML publications Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new Solutions Architect jobs in
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NAVA Software solutions is looking for a AI Solutions Architect
Details:
AI Solution Architect Insurance Domain (Azure & AWS)
Location: Remote
Duration: 12 months
Role Overview
As an AI Solution Architect specializing in Azure and AWS, you will lead the design, development, and production deployment of large-scale AI/ML solutions tailored for the insurance industry. You will work closely with cross-functional teams including data scientists, engineers, actuaries, and business leaders to transform business strategy into secure, scalable, and cost-effective AI architectures.
Key Responsibilities
AI Strategy & Use Case Development
Identify and prioritize AI/ML use cases across the insurance value chain: Underwriting, pricing, claims fraud detection, customer segmentation, policy recommendation engines, and chatbots. Partner with business stakeholders (e.g., actuaries, underwriters, claims analysts) to define impactful AI-driven solutions that enhance decision-making and operational efficiency.
Architecture & Design
Design resilient, scalable, and cloud-agnostic AI/ML architectures using Azure and AWS. Build and manage data ingestion and transformation pipelines using Azure Data Factory and AWS Glue. Define and implement MLOps workflows using Azure ML Pipelines, AWS SageMaker Pipelines, and MLflow.
Technical Leadership
Lead design reviews, technical workshops, and blueprint sessions. Mentor engineers and data scientists in best practices for model development, deployment, and cloud-native AI.
Solution Development
Implement NLP, computer vision, and deep learning solutions using Azure Cognitive Services, AWS Comprehend, Rekognition, and Bedrock. Develop microservices/APIs (Python, FastAPI) for real-time inference and batch scoring. Work with frameworks like TensorFlow, PyTorch, and Scikit-learn.
Integration with Insurance Systems
Ensure seamless integration with core insurance platforms: Policy Administration, Claims Management, Billing, CRM (e.g., Guidewire, Duck Creek, Salesforce). Collaborate with enterprise architects to align AI with broader IT modernization initiatives.
Deployment & Operations
Containerize models using Docker, deploy via Kubernetes (AKS/EKS). Implement CI/CD automation (Azure DevOps, AWS CodePipeline) and observability (CloudWatch, Prometheus, Azure Monitor).
Governance & Security
Enforce cloud security and data compliance using IAM, VNet, KMS, and encryption protocols. Leverage Azure Responsible AI and AWS SageMaker Clarify for explainability, fairness, and auditability.
Stakeholder Engagement
Present technical architectures and value propositions to C-level executives, claims directors, and underwriting heads. Serve as the bridge between business needs and AI/ML capabilities.
Required Qualifications
Experience:
8 10 years in AI/ML and software/system architecture. 5+ years in solution/technical leadership roles.
Education:
Bachelor's in Computer Science, Data Science, or Engineering. Master's or PhD in AI/ML preferred.
Cloud Expertise:
Azure: Azure ML, Cognitive Services, Data Factory, Databricks, Cosmos DB AWS: SageMaker, Comprehend, Rekognition, Glue, Redshift, DynamoDB
Tools & Frameworks:
Languages: Python (mandatory), Java or C++ ML Frameworks: TensorFlow, PyTorch, Scikit-learn Big Data & Streaming: Spark, Kafka, Hadoop MLOps/DevOps: Kubernetes (AKS/EKS), Docker, MLflow, Kubeflow, CI/CD pipelines
Preferred Qualifications
Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning Specialty Advanced AI Expertise: Generative AI (Azure OpenAI, ChatGPT, AWS Bedrock), Prompt Engineering, Agentic AI Community & Research: Contributions to open-source projects or AI/ML publications Soft Skills: Strong communication, stakeholder management, and strategic thinking. Team leadership and mentoring
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new Solutions Architect jobs in
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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