Lead AI Engineer - Agentic AI & Platform Development
Tasks
- Build intelligent AI agents
- Build scalable AI platform services and shared services
- Create AI powered developer tooling
- Define AI evaluation and monitoring frameworks
- Design enterprise agentic AI solutions
- Develop agent orchestration frameworks
- Develop prototypes and proofs of concept
- Drive responsible AI practices and lifecycle governance
- Ensure AI security reliability scalability compliance
- Establish AI engineering standards best practices
- Implement AI observability auditing and governance
- Implement CI CD infrastructure as code observability and resiliency
- Implement agent guardrails and human oversight
- Integrate AI solutions with enterprise engineering platforms
- Lead AI architecture and technical design reviews
- Mentor engineers through code and design reviews
- Research evaluate emerging AI orchestration and model technologies
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI orchestration | APIs | AWS | Agent systems | Agentic AI | Azure | Azure DevOps | C# | CI/CD | Cloud Native | Cloud Native Architecture | Cloud platform | DevSecOps | Distributed Systems | Fine Tuning | GitHub | Google Cloud | Google Cloud Platform | Infrastructure as Code | Jira | Language Models | Large Language Models | Microservices | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | Resiliency | Retrieval-Augmented Generation | ServiceNow | Snyk | SonarQube | Testing | Vector Databases | Vector Search | “as-code”
Roles
AI | AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
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