GenAI Architect
Tasks
- Align with data privacy regulations
- Architect safety and trust controls
- Build evaluation harnesses
- Coordinate stakeholder enablement and pilots
- Create solution blueprints and adoption roadmaps
- Define governed data pipelines for embeddings
- Define human-in-the-loop workflows
- Design end-to-end AI architectures
- Drive MLOps and LLOps
- Identify GenAI use cases
- Implement responsible AI governance
- Implement workflow orchestration
- Integrate with enterprise systems
- Lead implementation of agent frameworks
- Plan scalability performance and cost
- Run AI readiness assessments
- Select and integrate LLM providers
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Search | API Design | AWS Bedrock | Access Control | Agent systems | Airflow | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Azure OpenAI | B testing | CI/CD | Chunking | Cloud Security | Content Moderation | Cosmos DB | Cost Optimization | Data Governance | Data Lakes | Data Warehouses | Docker | Drift Detection | Durable Functions | Embeddings | Fine Tuning | Generative AI | Google Vertex | Google Vertex AI | Guardrails | Hallucination Testing | Jailbreak Protection | Knowledge graphs | Kubernetes | LLOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Metadata Management | Microservices | Model Evaluation | Model Registry | Model Risk Management | Model risk | Monitoring | Multi-Agent | Multi-Agent Systems | Networking | Observability | PII Redaction | Pinecone | PostgreSQL pgvector | Prompt engineering | Prompt orchestration) | Prompt versioning | RAG Pipelines | Redis | Regression testing | Responsible AI | Retrieval-Augmented Generation | Risk Management | Role-Based Access | Role-Based Access Control | Secrets management | Semantic Kernel | Serverless | Tool-Calling | Vector Databases | Vectorization | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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