Practice Architect AI/ML
Tasks
- Apply least privilege to agent and tool permissions
- Architect end to end AI ML solution architectures
- Build production agentic workflows on Claude
- Conduct technical workshops and mentor engineers
- Contribute reusable MCP servers and reference architectures
- Define human in the loop review gates
- Deploy AI solutions on GCP AWS or Azure
- Design defenses against prompt injection
- Develop retrieval-augmented generation pipelines
- Embed responsible AI controls and governance
- Establish AI cost visibility and spend governance
- Implement audit logging and output provenance
- Implement secure by default architectures
- Integrate Model Context Protocol servers
Perks/Benefits
- 401k retirement plan
- Employee assistance program
- Health spending account
- Life insurance
- Long-term disability
- Medical, dental, and vision
- Paid time off
- Short-term disability
- Transportation benefits
Skills/Tech-stack
AWS | Agent Orchestration | Agentic Workflows | AutoGen Orchestration | Autogen | Azure | Cloud Architecture | CrewAI | FinOps | GCP | IAM | LLM Top 10 | Langchain | Language Models | Large Language Models | Least Privilege | Model Context Protocol | Multi-Agent | Multi-agent orchestration | OWASP LLM | OWASP LLM Top 10 | Prompt engineering | Python | Retrieval-Augmented Generation | Secure Architecture | Secure Coding | Semantic Kernel | Semantic Kernel Orchestration | Threat modeling | Token Economics | Top 10
Regions
Countries
States
Cities
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