Forward Deployed Engineer - AI
Chicago, IL, United States
USD 180K-275K (estimate) Senior-level Full Time
Tasks
- Advise AI governance security and resilience
- Build AI prototypes and production solutions
- Build RAG pipelines
- Build custom tooling for regulated air gapped environments
- Conduct risk assessments
- Define data and integration requirements
- Define success criteria
- Develop AI agents
- Develop AI delivery project scopes
- Identify engagement expansion opportunities
- Identify high-value AI use cases
- Implement LLM tool function calling
- Implement governance and security controls
- Integrate MCP based tools
- Integrate large language models
- Lead AI trust and governance workshops
- Plan delivery phases and effort estimates
- Produce architecture outlines
- Run enablement sessions
- Support customer adoption
- Troubleshoot production issues
- Write Statements of Work
Perks/Benefits
Skills/Tech-stack
AI Permissions | AI Security | AI Security Posture Management | AWS | AWS Bedrock | Access Management | Agentic Workflows | Air-gapped | Air-gapped environments | Azure | Azure OpenAI | Azure OpenAI Service | Backup and Recovery | C# | Chroma | Data Security | Data Services | Data leakage | Function Calling | GCP | Google Vertex | Google Vertex AI | Identity and Access Management | Identity and access | LLM | Langchain | Microsoft 365 | Milvus | Model Context Protocol | Networking | OpenAI Service | Pinecone | Posture Management | Prompt injection | Python | RAG | Resilience | Retrieval-Augmented Generation | Security posture management | Semantic Kernel | Sovereign Cloud | Tool-Calling | TypeScript | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Engineer | Architect | Deployed Engineer | Engineer | Forward Deployed Engineer | Solutions Architect
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