Applied AI Solution Architect
Tasks
- Architect reliable scalable secure agent systems
- Build LLM observability strategies
- Deliver projects on time within scope
- Design LLM evaluation and guardrails
- Design reusable agentic accelerators
- Develop APIs and deploy solutions to production
- Develop patterns tooling for delivery center scaling
- Establish architectural standards for agentic capabilities
- Implement production ready agentic AI systems
- Integrate agents with enterprise systems
- Lead agentic AI solution architecture
- Mentor and coach team members
- Optimize SQL queries
- Perform code reviews documentation testing governance
- Translate business problems into agentic designs
Perks/Benefits
Skills/Tech-stack
AI/ML | API Development | AWS Bedrock | AWS SageMaker | Agent memory | Agent systems | AgentOps | Azure AI | Azure AI/ML | Cloud Native | Context engineering | Debugging | Deployment | Distributed Systems | Evaluation | Function Calling | Guardrails | LLM orchestration | LLMOps | Language Models | Large Language Models | MCP | Multi-Agent | Multi-Agent Systems | Observability | Planning | Prompt engineering | Python | RAG | Reliability | SQL | Scalability | Security | Snowflake Cortex | Testing | Tool-Calling
Education
Roles
AI | AI Engineer | AI Solutions | AI Solutions Architect | Architect | Engineer | Solutions Architect
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