Practice Architect II-AI/ML
USD 148K-222K Senior-level Full Time
Tasks
- Build reusable accelerators and reference architectures
- Deliver production AI agent systems with enterprise data onboarding and governed knowledge layers
- Drive alignment across customer product engineering and business stakeholders
- Evaluate emerging technologies and decide stack inclusion
- Explain architecture decisions risks and trade offs
- Implement agent security identity and least privilege tool access
- Lead offshore technical leads and ensure design intent handoff
- Mentor engineers on architecture and code quality
- Own architecture direction for agentic AI and full stack solutions
- Perform code review and architecture review gatekeeping
- Provide technical direction to engineering pods
- Serve as technical voice to customer architects and executives
- Set architecture standards and design patterns
- Surface technical risks and dependencies early with mitigation options
- Translate requirements into solution architectures
- Write production code for customer engagements
Perks/Benefits
- 401k match
- Employee assistance program
- Health Spending Account HSA
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid time off
- Short-term disability
- Transportation benefits
Skills/Tech-stack
AWS | Agent security | Azure | CI/CD | Cloud platform | Containers | Data Lineage | Data Quality | Data entitlement | Embeddings | Entity Resolution | Google Cloud | Google Cloud Platform | Human-in-the-loop | Hybrid search | Infrastructure as Code | Langgraph | Least Privilege | Llamaindex | Node.js | Orchestration | Performance Monitoring | Python | RAG | Regression testing | Retrieval Quality | Retrieval Quality Tuning | SQL | Semantic Modeling | Solution architecture | System design | The Loop | TypeScript | Vector Databases | Vector Search | “as-code”
Education
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Software Architect | Solutions Architect
Regions
Countries
States
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