Lead AI Software Engineer- AI Enablement
O'Fallon, Missouri (Main Campus), United States
USD 140K-231K Senior-level Full Time
Tasks
- Build RAG pipelines
- Build resilient observable cloud solutions
- Containerize applications
- Create roadmaps with stakeholders
- Deploy AI agents at scale
- Deploy MCP servers at scale
- Design GenAI platform
- Design web services APIs
- Drive engineering reuse and efficiency metrics
- Engineer prompts and chunking
- Ensure cloud security and access controls
- Evaluate and govern models
- Implement MLOps and LLMOps
- Integrate cloud automation patterns
- Manage Kubernetes workloads
- Manage embeddings and vector stores
- Mentor engineers through code reviews and design reviews
- Modernize and migrate legacy systems
- Orchestrate LLM workflows
- Tune and optimize LLMs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | AWS CDK | Agile Scrum | Amazon Bedrock | Amazon Q | Amazon S3 | Amazon SageMaker | Apache Iceberg | Automation | Azure | Azure AgentCore | Azure Machine Learning | Bicep | Claude | Databricks | Docker | Embeddings | Ephemeral Architecture | GitHub Copilot | Kubernetes | LLMOps | Language Models | Large Language Models | MCP | MLOps | Machine Learning | Microsoft Foundry | Model Evaluation | Model Governance | Model Tuning | Observability | Orchestration | Prompt engineering | RAG | SDLC | SRE | Security controls | Terraform | Vector Databases | Vector Stores | Waterfall | WatsonX
Education
N/A
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