AI Solution Architect (Enterprise Business)
Menara Maxis, Malaysia
USD 149K-211K (estimate) Senior-level Full Time
Tasks
- Architect LLM solutions using RAG and vector databases
- Build scalable AI platforms for GenAI and agentic workloads
- Define AI governance compliance and security guardrails
- Demonstrate proof of concept MVP and prototypes
- Design enterprise AI solution architectures for customers
- Design hybrid AI architectures across on prem private cloud public cloud
- Develop solution proposals and architecture documents for RFP RFQ and tenders
- Evaluate AI vendors models and platforms
- Lead AI discovery workshops with enterprise customers
- Perform AI maturity assessments and strategy sessions
- Present AI solutions to executive and technical stakeholders
- Prioritize AI use cases and identify high value opportunities
- Translate business challenges into AI use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Observability | AI Risk | AI Security | AI risk management | Agentic AI | As-a-Service | Cloud Architecture | Cloud platform | Containerization | Cost analysis | GPU as a Service | GPU sizing | Generative AI | Google Cloud | Google Cloud Platform | Hybrid Cloud | Inference Cost | Inference Cost Analysis | Kubernetes | LLM orchestration | Language Models | Large Language Models | Model Context Protocol | Model Serving | On-prem | On-prem infrastructure | Prompt engineering | RAG | ROI analysis | Responsible AI | Retrieval-Augmented Generation | Risk Management | TCO analysis | Token consumption | Tokenization | Vector Databases
Education
N/A
Roles
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