Principal AI Architect - Remote
Tasks
- Architect end-to-end AI solutions
- Build LLM-based systems
- Collaborate with engineering data product and business teams
- Communicate AI concepts to stakeholders
- Configure tool and function orchestration
- Define architecture standards and reusable patterns
- Define model selection and LLM routing
- Design RAG pipelines
- Develop AI agents and multi agent orchestration
- Drive modernization to reduce technical debt
- Ensure performance scalability observability privacy readiness
- Establish AI platform capabilities
- Evaluate emerging AI technologies and frameworks
- Implement AI governance security and responsible AI practices
- Implement CI CD containerization and scalable deployments
- Implement retrieval strategies and memory systems
- Lead architecture across domains and business segments
- Mentor engineers and architects
- Prototype proof-of-concept systems
- Shape AI roadmap and execution strategy
- Translate AI innovations into enterprise use cases
Perks/Benefits
Skills/Tech-stack
AI Governance | APIs | Agent Orchestration | Agent-based | Agent-based systems | Azure | Bicep | CI/CD | Compliance | Containerization | Data Architecture | Data integration | DevOps | Distributed Systems | Embeddings | Infrastructure as Code | Kubernetes | LLM routing | Microservices | Multi-Agent | Multi-agent orchestration | Privacy | Prompt engineering | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Risk Management | Terraform | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Architect | Architect | Principal | Principal AI Architect
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