Applied AI Solutions Architect
Tasks
- Build reusable agentic accelerators and reference architectures
- Create LLM evaluation guardrails and safety strategies
- Define practice standards and delivery frameworks
- Deliver client engagements on time and within scope
- Design RAG retrieval systems
- Develop LLM and agent APIs
- Ensure reliability scalability security and observability
- Implement agentic AI solutions in production
- Lead agentic AI solution architecture
- Mentor and coach team members
- Perform code reviews documentation testing and governance
- Translate business problems into agentic solution designs
Perks/Benefits
Skills/Tech-stack
AI/ML | API Development | AWS Bedrock | Agent systems | AgentOps | Agentic architecture | Amazon SageMaker | Azure AI | Azure AI/ML | Cloud Native | Context engineering | Development Lifecycle | Evaluation | Function Calling | Guardrails | LLM orchestration | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MCP | Memory | Multi-Agent | Multi-Agent Systems | Observability | Planning | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake Cortex | Software Development Lifecycle | Software development | Tool-Calling
Education
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