Principal AI Engineer - Vice President
Location(s): Tampa, Florida, United States
USD 125K-188K Senior-level Full Time
Tasks
- Architect fault tolerant scalable AI solutions
- Build Retrieval-Augmented Generation architectures
- Build cloud native GenAI applications
- Define end to end AI system blueprint
- Deploy AI workloads with Kubernetes
- Design Agentic AI systems
- Design LLM optimized data pipelines
- Develop and deploy LLM applications
- Engineer prompts and prompt templates
- Ensure secure compliant AI deployments
- Evaluate and select LLMs and vector stores
- Implement MLOps and AIOps pipelines
- Implement data freshness and quality mechanisms
- Implement safety guardrails and evaluation pipelines
- Integrate knowledge and data sources
- Mentor engineers and analysts
- Optimize retrieval and semantic indexing
- Orchestrate multiagent workflows
- Provide AI technical SME guidance
- Set up CI/CD, automated testing, and monitoring
Perks/Benefits
- 401k
- Disability insurance
- Life insurance
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid time off
- Wellness programs
Skills/Tech-stack
AIOps | ArgoCD | Atlas Vector Search | Autogen | Azure DevOps | CI/CD | CrewAI | Docker | Embeddings | Failover | FastAPI | Generative AI | GitHub Actions | GitLab CI | Helm | Jenkins | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | Logging | MLOps | Machine Learning | Milvus | Model versioning | MongoDB Atlas | MongoDB Atlas Vector Search | Monitoring | Natural Language | Natural Language Processing | Neo4j | NumPy | Observability | OpenAI API | OpenAI Assistants | PGVector | Pandas | Pinecone | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformers | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | AI Engineer | Architect | Engineer | Principal | Principal AI Engineer
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