Forward Deployed AI Engineer – Architect of Intelligence
Tasks
- Build intelligent assistants
- Co create solutions with business and technology stakeholders
- Convert successful delivery into reusable accelerators and building blocks
- Create AI enabled business workflows
- Define success criteria for adoption performance reliability risk cost and business value
- Design RAG architectures
- Document govern and enable client transfer of solutions
- Identify and qualify required data
- Implement GenAI and AI agent solutions for production
- Integrate AI with APIs and business systems
- Prototype test deploy monitor and improve AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | API Integration | AWS | Autogen | Azure | CI/CD | Cloud Computing | Cloud platform | Data Governance | Data Privacy | Docker | Embeddings | GenAI | Git | Google Cloud | Google Cloud Platform | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Model selection | Prompt engineering | Python | RAG | Responsible AI | Semantic Kernel | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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