Director, AI and Agentic Engineering
Carmel - Indiana, United States
USD 168K-210K Executive-level Full Time
Tasks
- Architect multi-agent systems
- Build business process automation end to end
- Define enterprise AI architecture
- Design agent orchestration patterns
- Design retrieval-augmented generation systems
- Develop AI roadmap and quarterly updates
- Ensure audit trails for automated decisions
- Establish AI governance for bias and hallucination mitigation
- Govern AI infrastructure and inference optimization
- Implement model selection frameworks
- Implement tool calling protocols
- Lead LLM and SLM model deployment
- Lead vector database and embedding pipeline design
- Maintain data privacy and regulatory compliance
- Manage AI team and center of excellence
- Partner with model and cloud vendors
- Recruit and develop AI engineering talent
- Translate business problems into AI architectures
Perks/Benefits
- Company holidays vacation sick days
- Mental health services
- Paid parental leave
- Paid time off
- Personal days
Skills/Tech-stack
AI Governance | API first | AWS Bedrock | Agent Orchestration | Agent systems | Autogen | Azure OpenAI | Bias Evaluation | Cloud AI | CrewAI | Data Privacy | Embedding pipelines | Event Driven | Event-driven architecture | Google Vertex | Google Vertex AI | Hallucination mitigation | Inference Optimization | Knowledge graphs | Langgraph | Language Models | Large Language Models | MCP | Microservices | Model Context Protocol | Model Explainability | Model Registry | Multi-Agent | Multi-Agent Systems | Python | RAG | Retrieval-Augmented Generation | Small Language Models | Tool-Calling | Vector Databases | Vector Search | Vertex AI
Education
N/A
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