AI Solutions Architect - Remote
AI Solutions Architect - Remote
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Job Description
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.
- 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.
- Lead design reviews technical workshops and blueprint sessions.
- Mentor engineers and data scientists in best practices for model development deployment and cloud-native AI.
- 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.
- 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.
- Containerize models using Docker deploy via Kubernetes (AKS/EKS).
- Implement CI/CD automation (Azure DevOps AWS CodePipeline) and observability (CloudWatch Prometheus Azure Monitor).
- 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.
- 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.
Experience:
- 8 10 years in AI/ML and software/system architecture.
- 5 years in solution/technical leadership roles.
Education:
- Bachelors in Computer Science Data Science or Engineering.
- Masters 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
- 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
Employment Type
Full-time
