Lead AI Agents & Generative AI Architect
COP 66000K-83999K (estimate) Senior-level Full Time
Tasks
- Build scalable secure cost efficient GenAI RAG and AI agent solutions
- Define AI security privacy and governance guidelines
- Define and implement large language model architectures
- Define and implement machine learning architectures
- Define evaluation frameworks and performance metrics
- Deploy models through APIs
- Design embedding and RAG solutions
- Develop API driven products and accelerators
- Develop microservices and cloud architectures
- Develop prototypes demos proofs of concept
- Establish MLOps and LLMOps practices
- Implement distributed architectures
- Implement observability for ML systems
- Implement version control monitoring and cost optimization
- Optimize batch and streaming data and ML pipelines
- Provide customer discovery workshops and presentations
- Support technical proposals RFP and business cases
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Glue | AgentOps | Amazon Athena | Apache Airflow | Apache Kafka | Apache Spark | Docker | Embeddings | FastAPI | Infrastructure as Code | Kubeflow | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Microservices | Observability | PyTorch | Python | Retrieval-Augmented Generation | Semantic Kernel | TensorFlow | Vector Databases | Version control | “as-code”
Roles
AI | AI Architect | Architect | Engineer | Generative AI Architect | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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