Lead AI Engineer
Tasks
- Apply AI governance prompt testing and versioning
- Apply AI safety controls and guardrails
- Build agentic workflows with tool calling and orchestration
- Design and deploy AI Agents for business workflows
- Develop REST APIs and backend services for AI workflows
- Document solution designs integration approaches and runbooks
- Ensure AI security privacy and compliance including PII handling
- Implement RAG and decision logic in AI agents
- Implement event driven AI integrations
- Implement prompt management and evaluation metrics
- Implement secure enterprise data access with authentication and role based access control
- Integrate AI solutions with Microsoft 365 SharePoint and Teams
- Integrate AI solutions with Salesforce and enterprise platforms
- Provide technical guidance and knowledge transfer
- Support PoCs pilots and production rollouts
Perks/Benefits
Skills/Tech-stack
AI monitoring | AWS | Access Control | Azure | Azure OpenAI | C# | CI/CD | ChatGPT | Copilot Studio | Data Residency | Event Driven | Event-driven architecture | Function Calling | GCP | Google Agentspace | Java | JavaScript | LLM Evaluation | Langchain | Microservices | Microsoft Copilot | Microsoft Copilot Studio | OAuth | OAuth2 | OpenAI API | PII handling | Platform Events | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | SSO | Salesforce | Salesforce Apex | Salesforce Flow | Salesforce Platform events | Salesforce platform | Security Governance | Semantic Kernel | Semantic Retrieval | Tool-Calling | TypeScript | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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