Senior AI Solution Architect

Tasks

• Design LLM cost optimization architectures
• Design RAG architectures
• Design agent architectures
• Design end to end LLM powered agent architectures
• Design evaluation for non deterministic systems
• Design hybrid deployment architectures across clouds and private GPU infrastructure
• Design observability and evaluation architectures for LLM systems
• Design prompt and context architectures
• Design secure integration architectures with enterprise systems
• Design security and compliance architectures for AI systems
• Estimate effort and infrastructure cost for AI projects
• Lead technical architecture discussions with client leadership
• Select LLM provider and models
• Select and defend LLM frameworks and inference solutions
• Write technical proposal architecture sections

Perks/Benefits

• Flexible working hours
• Meal allowance
• Multisport card subsidy
• Paid health insurance
• Paid sick leave
• Remote work
• Transport allowance

Skills/Tech-stack

API Design | API Gateways | AWS Bedrock | Agent Orchestration | Agent systems | Agents SDK | Amazon Web Services | Audit Logging | Azure OpenAI | Batch inference | CI/CD | Cloud platform | Data Residency | Embeddings | GDPR | Google Cloud | Google Cloud Platform | Human-in-the-loop | Hybrid search | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | MTLS | Microsoft Azure | Model Tiering | Model routing | Multi-Agent | Multi-Agent Systems | OAuth | Observability | OpenAI Agents | OpenAI Agents SDK | OpenTelemetry | PII handling | Prompt Caching | Prompt engineering | Prompt versioning | Python | RAG | Real Time | Real-time Inference | Regression testing | Reranking | TGI | The Loop | Token budgeting | VLLM | Vector Databases | Vertex AI | Web Services