Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)
Tasks
- Align stakeholders on tradeoffs and risks
- Create cloud migration roadmaps
- Define AI platform reference architectures
- Define target state designs
- Design AI and ML-enabled solutions
- Design and modernize cloud native architectures
- Design generative AI solution patterns
- Document current-state architecture
- Ensure responsible AI governance
- Establish MLOps best practices
- Incorporate security-by-design practices
- Lead discovery with business and technology partners
- Resolve design-related issues
- Support testing and validation triage
Perks/Benefits
- 401k match
- Business casual environment
- Business resource groups
- Dental insurance
- FMLA
- Life insurance
- Medical insurance
- Paid disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
API Integration | AWS | Access Management | Agile Software Development | Agile software | Alerting | Artificial Intelligence | Audit Logging | Azure | CI/CD | Centralized Logging | Cloud Architecture | Cloud platform | CloudFormation | Data Modeling | Deployment Automation | DevOps | Distributed tracing | Docker | Drift Detection | ECS | EKS | Embeddings | Encryption | Event Driven | Event-driven architecture | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Governance | Identity and Access Management | Identity and access | Incident Response | Kubernetes | Low Latency | Low-latency serving | MLOps | Machine Learning | Metrics | Microservices | Model versioning | Monitoring | NoSQL | Observability | PLSQL | Prompt engineering | Retrieval-Augmented Generation | Risk Management | SQL | Secrets management | Secure networking | Serverless | Software development | Terraform | Vector Databases | Vector storage
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
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