Solutions Architect (GenAI, Python/Data, AWS)
Tasks
- Build CI CD automated testing model monitoring experiment tracking
- Build ETL/ELT workflows
- Deploy ML and LLM based solutions
- Design cloud native LLM based solutions
- Develop and defend architectural tradeoffs
- Implement MLOps LLMOps and AgentOps
- Implement production RAG systems
- Lead architecture reviews
- Mentor engineers and lead code reviews
- Produce technical design documents
- Support presales discovery and technical proposals
- Write production grade Python and RESTful APIs
Perks/Benefits
- Equipment provided
- Medical Budget
- Paid public holidays
- Paid sick leave
- Paid vacation
- Premium AI tools subscription
- Private medical insurance
- Remote flexible hours
- Training programs
Skills/Tech-stack
AWS | AgentOps | Agentic AI | Automated testing | CI/CD | Distributed Computing | Django REST | Docker | Drift Detection | ECR | ECS | ELT | ETL | Experiment tracking | FastAPI | Flask | Kubernetes | LLM Evaluation | LLMOps | Lambda | Language Models | Large Language Models | MLOps | Model Drift | Model Drift Detection | Model Monitoring | Observability | Python | RAG | REST APIs | Retrieval-Augmented Generation | S3 | SQS
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
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