Position Overview
Ideally looking for someone in the Austin, TX area; hybrid is ideal, but will consider flexible/remote for the right candidate.
We are seeking a cloud-first, AI-forward Solutions Delivery Manager to join our Customer Solutions Delivery organization. Reporting to senior leadership, you will be responsible for driving the delivery of cloud-native technology solutions across key business domains. This role requires deep expertise in AWS services and a passion for leveraging artificial intelligence and machine learning to transform legacy operations into modern, intelligent, and scalable digital platforms. As a domain leader, you will champion the adoption of AWS cloud-native architectures and AI/ML capabilities to modernize core systems, implement intelligent automation, and accelerate digital transformation. You will lead a team of cloud engineers and technical analysts while collaborating with business stakeholders to deliver innovative solutions that improve efficiency, scalability, and customer experience.
Key Responsibilities
- Cloud-Native Solution Delivery
- Lead AWS cloud-native implementations for critical business applications
- 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 predictive analytics and automation
- Implement intelligent document processing using Amazon Textract and Comprehend
- Deploy AI-driven models for decision support and forecasting using AWS AI services
- Leverage Amazon Bedrock and generative AI for customer interaction and recommendation engines
- 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 follow AWS security best practices including IAM, KMS, and Security Hub
- Drive Infrastructure as Code adoption using AWS CDK and CloudFormation
- Business Partnership & Domain Leadership
- Serve as the primary technology partner for core business application areas
- Translate complex requirements into cloud-native, AI-enhanced solutions
- Partner with stakeholders to identify AI/ML use cases for automation and decision support
- Champion data-driven decision making through AWS analytics and BI tools
- Team Management & Development
- Lead and mentor a team of 5-10 cloud engineers and 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 new AWS capabilities
- Collaborate with AWS solution architects and support teams for optimal outcomes
- Cloud Operations & Excellence
- Implement monitoring and observability using CloudWatch, X-Ray, and DataDog
- Ensure high availability through multi-AZ deployments and auto-scaling
- 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 Audit Manager
- Stakeholder Management
- Present 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 to showcase AI and cloud innovation opportunities
Qualifications
Required
- 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
- Extensive hands-on experience with AWS services across compute, storage, databases, and networking
- Proven expertise in cloud-native application development and microservices architecture
- Strong background implementing AI/ML solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)
- Experience with serverless architectures and event-driven systems
- Proficiency in Infrastructure as Code using AWS CDK, CloudFormation, or Terraform
- Deep understanding of AWS security, compliance, and governance best practices
- Experience migrating legacy systems to AWS cloud
- Strong knowledge of business process workflows in enterprise applications
- Excellent communication skills with the ability to articulate cloud and AI value propositions
Preferred
- AWS Certifications: Solutions Architect Professional, Machine Learning Specialty, or DevOps Engineer
- Experience with Amazon Bedrock and generative AI applications
- Familiarity with AWS Lake Formation and building data lakes for analytics
- Experience with real-time streaming analytics using Kinesis and Kafka
- Background in AWS-based customer engagement and automation solutions
- Experience with large-scale enterprise application platforms
- Knowledge of AWS Partner Network solutions
Competencies
- Results-oriented with strong analytical and problem-solving skills
- Business acumen combined with technical depth
- Strong project management and stakeholder engagement abilities
- Team leadership and collaboration mindset
- Adaptability and flexibility in dynamic environments
- Continuous improvement and process optimization focus
- Excellent written and verbal communication skills
- Customer-focused decision making
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