AI Solutions Architect
USD 126K-225K (estimate) Senior-level Full Time
Tasks
- Build agentic workflows
- Build data pipelines on CDP
- Design AI model architecture
- Develop vector databases and RAG systems
- Ensure ethics and bias mitigation
- Establish AI governance guardrails
- Ground AI outputs with verified data
- Implement LLMOps monitoring and versioning
- Optimize model inference performance
- Plan FedRAMP and IL5 compliant deployments
- Select and implement LLM and ML models
- Translate technical AI concepts for stakeholders
Perks/Benefits
- Career development
- Employee resource groups
- Flexible work from home
- Generous paid time off
- Paid volunteer time
- Phone and internet reimbursement
- Wellness programs
- Work-life balance
Skills/Tech-stack
Air gapped deployment | Air-gapped | Apache Kafka | Apache NiFi | Data Pipelines | ELT | ETL | GPU Acceleration | Haystack | Hugging Face | Kubernetes | LLMOps | Langchain | Llamaindex | MLOps | Milvus | Model Drift | Model versioning | NoSQL | PGVector | Pinecone | PostgreSQL | Pruning | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | SQL | Spark | TensorFlow | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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