Solutions Architect (AI, Python/Data)
Tasks
- Build LLM and agentic AI solutions
- Conduct architecture reviews
- Create technical proposals and demos
- Deploy ML and LLM solutions
- Design cloud-native data solutions
- Develop ETL/ELT workflows
- Develop RESTful APIs
- Implement MLOps and LLMOps practices
- Implement RAG systems
- Lead code reviews and mentoring
- Manage ML model monitoring and evaluation
- Produce technical design documents
- Support presales discovery calls
- Write production-grade Python
Perks/Benefits
- Flexible hours
- Paid sick leave
- Paid vacation
- Private medical insurance
- Public holidays
- Remote work
- Training programs
Skills/Tech-stack
AWS | AWS Bedrock | AWS Lambda | Agentic Workflows | Apache Airflow | Apache Kafka | Apache Spark | Automated testing | CI/CD | Clean architecture | Design Patterns | Distributed Computing | Django REST | Docker | Drift Detection | ECR | ECS | ELT | ETL | Experiment tracking | FastAPI | Flask | GitHub Actions | GitLab CI | Kubernetes | LLM Evaluation | LLMOps | Language Models | Large Language Models | MLOps | Model Monitoring | Model Observability | OOP | Performance optimization | Python | RAG Systems | RESTful APIs | Retrieval-Augmented Generation | S3 | SQS
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
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