Applied AI Solutions Architect
Tasks
- Conduct discovery sessions and architecture workshops
- Create implementation roadmaps and success criteria
- Design end to end applied AI architectures
- Develop prototypes proofs of concept and production systems
- Ensure security observability evaluation governance and monitoring
- Evaluate AI opportunities and de risk technical decisions
- Guide production AI deployments and integrations
- Manage cost effectiveness and ongoing model support
- Translate business requirements into solution designs
Perks/Benefits
- 401k match
- Company holidays
- Dental insurance
- Home office & equipment stipend
- Learning & development stipend
- Paid time off
- Remote-first work environment
- Vision insurance
Skills/Tech-stack
AWS | AWS Bedrock | Agentic Workflows | Amazon SageMaker | Anthropic | Azure | Azure AI | Cloud Architecture | Cost Optimization | DBT | Databricks | Distributed Systems | Drift Detection | Evaluation Frameworks | Feature Store | Generative AI | Google Cloud | Google Vertex | Google Vertex AI | Governance | LLM Applications | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | Observability | OpenAI | Prompt management | Python | RAG | SQL | Security | Semantic Retrieval | Snowflake | Vertex AI
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