AI Solutions Engineer
Tasks
- Audit workflows for AI opportunities
- Automate data mapping
- Automate schema conversion
- Build AI agents
- Conduct cost-benefit analyses
- Create AI enablement training content
- Design and code autonomous AI agents
- Enable multi step reasoning
- Ensure LLM governance
- Evaluate AI generated outputs critically
- Generate documentation and environment setups
- Implement LLM Ops
- Implement self correction
- Integrate agents with enterprise data using MCP servers
- Lead strategy for agentic service offerings
- Own customer adoption of MCP solutions
- Perform code migration
- Translate technical metrics to business impact
- Use tool calling
Perks/Benefits
Skills/Tech-stack
API Integrations | Anthropic Claude | Benefit Analysis | Change Management | Cost Benefit | Cost-Benefit Analysis | CrewAI | Cross-Functional Collaboration | Cross-functional | Data Mapping | Functional collaboration | Generative AI | LLM-Ops | Langgraph | Llamaindex | Machine Learning | Multi-step reasoning | OpenAI | Python | RAG | Retrieval-Augmented Generation | Risk Evaluation | Schema conversion | Self-correction | Semantic Kernel | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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