Principal Engineer, AI Architect
Tasks
- Accelerate development using AI assisted tools
- Build reusable GenAI platform components SDKs and frameworks
- Conduct POCs to validate designs technologies and requirements
- Convert business requirements into technical design
- Define NFR guidelines and benchmarks for project implementation
- Define frontend architecture and UX patterns for AI applications
- Design scalable secure backend platforms for LLM inference and RAG
- Ensure enterprise readiness for security privacy compliance governance and responsible AI
- Establish prompt design model integration evaluation and observability standards
- Lead implementation of GenAI workflows with LLMs tools APIs structured data and user context
- Lead technical discovery and solutioning for high impact initiatives
- Own AI application architecture and technical vision
- Partner with product design and data leaders to deliver scalable solutions
- Resolve issues using root cause analysis
- Review architecture for extensibility scalability security design patterns and user experience
- Review designs and codebases and unblock teams
- Write and review architecture and design documents
Perks/Benefits
- N/A
Skills/Tech-stack
AI Practices | API Integration | AWS | Agent Orchestration | Azure | Cloud Computing | Compliance | Conversational Interfaces | Copilots | Cost Optimization | Distributed Systems | Enterprise Security | Generative AI | Google Cloud | Governance | LLM | LLM Inference | LLM integration | Model Evaluation | Observability | Privacy | Prompt engineering | Python | RAG | React | Responsible AI | Responsible AI Practices | SDK development | Secure Architecture | Structured data | System design | User Experience
Education
Roles
AI | AI Architect | Architect | Engineer | Principal | Principal Engineer
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