Senior AI Solution Architect
Tasks
- Architect event-driven integrations
- Build vector database and embedding pipelines
- Conduct architecture reviews
- Define architecture blueprints and system designs
- Define cloud DevSecOps and security patterns
- Design AI evaluation frameworks
- Design LLM orchestration workflows
- Design multi-agent AI workflows
- Establish secure and compliant AI architectures
- Evaluate technical constraints and risks
- Implement retrieval-augmented generation solutions
- Lead AI solution architecture
- Mentor engineering teams and improve practices
- Modernize legacy systems with APIs
- Optimize AI model performance and latency
- Perform threat modeling and governance
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Agent systems | Azure | CQRS | Cloud platform | DevSecOps | Distributed Systems | Embeddings | Enterprise Architecture | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Human-in-the-loop | Identity Management | Infrastructure as Code | Kubernetes | LLM orchestration | MTLS | Microservices | Multi-Agent | Multi-Agent Systems | OAuth 2.0 | OpenID Connect | Retrieval-Augmented Generation | SAGA Pattern | Secure API | Secure API Design | Terraform | The Loop | Threat modeling | Tool-Calling | Vector Databases | Zero Trust | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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