Applied AI Solution Architect
Tasks
- Build reusable agentic accelerators and reference architectures
- Contribute to AI engineering IP templates playbooks and training
- Create architectural standards for agentic capabilities
- Define evaluation and guardrail strategies for safe agent performance
- Deliver client engagements on time within scope
- Design reliability scalability security and observability for agents
- Develop APIs and integrate with enterprise systems
- Develop patterns and tooling for delivery center scale
- Evaluate LLM and agent system performance
- Implement production ready agentic AI solutions
- Lead agentic AI architecture and solution design
- Mentor and coach team members
- Optimize SQL queries for complex distributed workloads
- Perform code reviews testing and documentation for quality
- Translate business problems into agentic solution designs
Perks/Benefits
Skills/Tech-stack
AI machine learning | API Development | AWS Bedrock | AWS SageMaker | Agent systems | AgentOps | Azure AI | Azure AI Machine Learning | Cloud Native | Cloud-native AI | Context engineering | Evaluation | Function Calling | Guardrails | LLM orchestration | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MCP | Machine Learning | Memory systems | Multi-Agent | Multi-Agent Systems | Observability | Planning Protocols | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake Cortex | Tool-Calling
Education
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