Solutions Architect (AI, Python/Data)

Tasks

• Build ETL and ELT workflows
• Build production Python services and RESTful APIs
• Deploy ML and LLM solutions
• Design cloud-native data and LLM based AI solutions
• Implement MLOps LLMOps AgentOps
• Implement optimize RAG systems
• Lead architecture reviews and technical design documents
• Lead code reviews and mentor engineers
• Own technical direction from discovery through delivery
• Present client-facing demos
• Support presales discovery and technical proposals

Perks/Benefits

• Equipment provided
• Flexible hours
• Internal training programs
• Paid public holidays
• Paid sick leave
• Paid vacation
• Premium AI tools subscriptions
• Private medical insurance
• Remote work

Skills/Tech-stack

AWS | AWS Bedrock | AWS Lambda | AgentOps | Agentic AI | Amazon Bedrock | Amazon Bedrock AgentCore | Amazon ECR | Amazon ECS | Amazon S3 | Amazon SQS | Anthropic API | Automated testing | Bedrock AgentCore | CI/CD | Django REST | Docker | Drift Detection | ELT | ETL | Experiment tracking | FastAPI | Flask | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | Observability | OpenAI | Python | REST APIs | Retrieval-Augmented Generation