Practice Architect AI/ML
Tasks
- Apply AI FinOps cost visibility and spend governance
- Architect end to end AI ML solution architectures
- Build and productionize agentic workflows
- Conduct technical workshops and mentor engineers
- Create reusable reference architectures and MCP servers
- Deploy AI solutions on cloud platforms
- Design least privilege permissions and input output mediation
- Design retrieval-augmented generation pipelines
- Embed responsible AI governance with human in the loop review
- Establish audit logging and output provenance
- Implement security guardrails against prompt injection
- Integrate Model Context Protocol MCP servers
Perks/Benefits
Skills/Tech-stack
AI RMF | AWS | Agent Orchestration | Agentic Workflows | Autogen | Azure | Cloud Architecture | CrewAI | FinOps | GCP | IAM | ISO/IEC | ISO/IEC 42001 | LLM Top 10 | Langchain | Language Models | Large Language Models | Least Privilege | Model Context Protocol | Multi-Agent | Multi-agent orchestration | NIST AI | NIST AI RMF | OWASP LLM | OWASP LLM Top 10 | Prompt engineering | Python | Retrieval-Augmented Generation | Secure Coding | Semantic Kernel | Semantic Search | Threat modeling | Token Economics | Top 10
Education
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