Position Overview:
We are seeking a cloud-first, AI-forward Solutions Delivery Manager to join our Solutions Delivery organization. You will be responsible forleading the delivery of cloud-native technology solutions. This critical role requires deep expertise in AWS services and a passion for leveraging artificial intelligence and machine learning to transform traditional insurance operations into modern, intelligent, andscalable digital platforms.
You will champion the adoption of AWS cloud-native architectures and AI/ML capabilities. You will lead a team of cloud engineers and technical analysist while collaborating closely with business stakeholders to modernize legacy systems, implement intelligent automation, and drive continuous innovation through emerging AI technologies.This position offers the opportunity to directly impact operational efficiency and customer satisfaction through cutting-edge cloud and AI solutions.
Key Responsibilities:
Cloud-Native Solution Delivery
- Lead AWS cloud-native implementations
- Design and deliver serverless architectures using AWS Lambda, API Gateway, and EventBridge
- Implement microservices-based solutions leveraging Amazon ECS/EKS and AWS Fargate
- Drive containerization initiatives and orchestrate deployments using AWS native services
- Ensure solutions maximize AWS Well-Architected Framework principles
AI/ML Integration & Innovation
- Spearhead AI/ML initiatives using Amazon SageMaker for claims fraud detection and automated adjudication
- Implement intelligent document processing using Amazon Textract
- Deploy predictive analytics models for risk assessment and claims forecasting using AWS AI services
- Leverage Amazon Bedrock and generative AI for customer service automation
- Build ML pipelines for continuous model training, deployment, and monitoring
AWS Technology Leadership
- Guide architecture decisions leveraging AWS managed services (RDS, DynamoDB, S3, Kinesis)
- Implement event-driven architectures using Amazon EventBridge and SNS/SQS
- Ensure solutions utilize AWS security best practices including IAM, KMS, and AWS Security Hub
- Drive Infrastructure as Code adoption using AWS CDK and CloudFormation
Domain Expertise & Business Partnership
- Serve as the primary technology partner
- Translate complex business requirements into cloud-native, AI-enhanced technical solutions
- Partner with business leaders to identify AI/ML use cases for process automation and decision support
- Champion data-driven decision making through AWS analytics and business intelligence tools
Team Management & Development
- Lead and mentor a team of 5-10 cloud engineers and technical analysts
- Build team expertise in AWS services, cloud-native development, and AI/ML technologies
- Foster a culture of cloud-first thinking and continuous experimentation with emerging AWS services
- Coordinate with AWS solution architects and support teams for optimal resource utilization
Cloud Operations & Excellence
- Implement AWS monitoring and observability using CloudWatch, X-Ray, and DataDog
- Ensure 99.9%+ availability through multi-AZ deployments and AWS auto-scaling capabilities
- Optimize AWS costs through Reserved Instances, Savings Plans, and right-sizing initiatives
- Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy
- Maintain compliance using AWS Config, CloudTrail, and AWS Audit Manager
Stakeholder Management
- Present AWS cloud migration strategies and AI roadmaps to senior management
- Collaborate with AWS account teams and solution architects for technical guidance
- Manage cloud spending and demonstrate ROI of AWS investments
- Facilitate workshops on AI art of the possible using AWS services
Required Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
- 7+ years of technology experience, with at least 3 years in a leadership role within insurance or financial services
- Extensive hands-on experience with AWS services including compute, storage, databases, and networking
- Proven expertise in cloud-native application development and microservices architecture on AWS
- Strong background in implementing AI/ML solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)
- Experience with serverless architectures and event-driven systems on AWS
- Proficiency in Infrastructure as Code using AWS CDK, CloudFormation, or Terraform
- Deep understanding of AWS security, compliance, and governance best practices
- Experience migrating legacy insurance systems to AWS cloud
- Strong knowledge of policy administration and/or claims processing workflows
- Excellent communication skills with ability to articulate cloud and AI value propositions
Preferred Qualifications:
- AWS Certifications: Solutions Architect Professional, Machine Learning Specialty, or DevOps Engineer
- Experience with Amazon Bedrock and generative AI applications in insurance
- Knowledge of AWS industry-specific solutions for insurance and financial services
- Familiarity with AWS Lake Formation and building data lakes for insurance analytics
- Experience with real-time streaming analytics using Kinesis and Kafka on AWS
- Background in implementing AWS Contact Center solutions for claims and customer service
- Knowledge of AWS Partner Network solutions for insurance
Hybrid position – M,T,W will be onsite with TH and F being remote.
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