Corporate Vice President - Principal AI Engineer, Solution Delivery
Tasks
- Apply AI assisted engineering tools and review outputs
- Apply responsible AI principles
- Build evaluate deploy and monitor AI solutions
- Build multi-agent orchestration solutions
- Define AI development technical standards
- Design and deploy RAG retrieval systems
- Design and implement agentic AI systems
- Establish evaluation testing and observability practices
- Implement hybrid search and reranking
- Integrate cloud AI and data platforms
- Lead AI ML and GenAI initiatives end to end
- Mentor and lead AI engineering teams
- Prototype AI applications using modern frameworks
- Scope and design AI solution delivery
- Select AI models and orchestration frameworks
Perks/Benefits
- Adoption Assistance
- Hybrid schedule
- Leave programs
- Mentorship and team leadership
- Student loan repayment programs
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Artificial Intelligence | Automated Evaluation | Bedrock | CI/CD | Code review | Databases | Databricks | Docker | GCP | Generative AI | GraphRAG | Hallucination detection | Human-in-the-loop | IaC | Infrastructure as Code | JavaScript | Knowledge graphs | Kubernetes | Langgraph | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Multi-agent orchestration | Observability | Performance Monitoring | Prompt Safety | Prompt engineering | Python | RAG | React | Red Teaming | Retrieval-Augmented Generation | SQL | Safety testing | SageMaker | Streamlit | Testing | The Loop | TypeScript | Vertex AI | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
Regions
Countries
States
Cities
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