AI Architect
USA - PA - Oaks, United States
R
USD 119K-189K (estimate) Senior-level Full Time
Tasks
- Architect document intelligence as a service
- Build RAG pipelines
- Design enterprise AI architectures end to end
- Design telemetry and evaluation feedback loops
- Develop prompt governance and model routing
- Implement responsible AI safety testing and bias evaluation
- Implement retrieval strategies and grounding
- Integrate plugins and MCP tool patterns
- Lead design reviews and mentor engineers
- Orchestrate agentic AI workflows
- Partner with InfoSec and Cloud teams
- Prototype rapid POCs in Python
- Publish reference architectures and reusable modules
Perks/Benefits
- 401k match
- Back Up Childcare Arrangements
- Commuter benefits
- Discounted stock purchase plan
- Flexible PTO
- Healthcare benefits
- Hybrid work schedule
- Paid parental leave
- Paid time off
- Paid volunteer days
- Tuition reimbursement
Skills/Tech-stack
AI Search | AKS | Access Management | Application Insights | Azure | Azure AI | Azure AI Search | Azure Functions | Azure Key Vault | Azure OpenAI | Bias and fairness | Bias and fairness evaluation | Chunking | DLP | Data Loss Prevention | Data loss | Drift monitoring | Embeddings | Fairness evaluation | Fine Tuning | Guardrails | Hallucination Testing | Hybrid search | Identity and Access Management | Identity and access | Key Vault | LLM lifecycle | Langchain | Langfuse | Llamaindex | LoRA | Loss prevention | Milvus | Multitenancy | Node.js | OpenTelemetry | Pinecone | Policy-as-Code | Private Networking | Prompt engineering | Python | QLoRA | RAG | Ragas | Reranking | Structured outputs | Token Management | TypeScript | Vector Search | Weaviate | “as-code”
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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