AI Solutions Engineering Principal
USA - Georgia - Alpharetta - 30005, United States
USD 150K-200K (estimate) Senior-level Full Time
Tasks
- Build LLM-powered applications
- Build and optimize NLU models
- Build scalable data pipelines and feature stores
- Create technical documentation and runbooks
- Define and maintain SLA SLO and SLIs
- Deploy ML inference infrastructure
- Design NLP pipelines
- Design dialogue management flows
- Ensure secure software development compliance
- Evaluate and recommend AI frameworks
- Execute cloud native microservices architectures
- Implement intent classification systems
- Integrate contact center AI with CRM ticketing workforce systems via APIs
- Lead end to end design of AI systems
- Lead sprint planning and retrospectives
- Make architecture decisions for product features and refactoring
- Partner with cross-functional stakeholders
- Troubleshoot production issues
Perks/Benefits
- 401k matching
- Healthcare benefits
- Hybrid work schedule
- Online learning platform
- Organizational growth opportunities
- Paid time off
Skills/Tech-stack
APIs | Airflow | Apache Beam | Artificial Intelligence | BigQuery | Bigtable | CI/CD | Cloud Composer | Cloud Native | Cloud Native Architecture | Cloud platform | Data Pipelines | Dataflow | DevSecOps | Dialogue Management | Event Driven | Event-driven architecture | Feature Stores | FinOps | GCS | GKE | Google Cloud | Google Cloud Platform | Helm | Helm Charts | Infrastructure as Code | Intent Classification | Jenkins | Kubernetes | LLM Applications | Language Models | Language Processing | Large Language Models | ML inference | Machine Learning | Microservices | NLP Pipelines | NLU | Natural Language | Natural Language Processing | PubSub | Quality Engineering | REST APIs | Reliability Engineering | SLA | SLI | SLO | SRE practices | Site Reliability | Site Reliability Engineering | Software Engineering | Terraform | “as-code”
Education
Regions
Countries
States
Cities
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