AI Solutions Engineer
USD 140K-170K Senior-level Full Time
Tasks
- Apply context engineering for AI agents
- Build agentic harness toolchain
- Build and harden CI CD pipelines
- Create evaluation framework for agent output
- Define AI security controls prompt injection defenses
- Design agent orchestration patterns
- Embed SAST DAST and scanning in pipeline
- Enable observability scorecards and reviews
- Enforce agent permission scoping and sandboxing
- Ensure responsible AI and data privacy compliance
- Implement data handling guardrails
- Implement model routing and fallback strategies
- Implement regression testing and HITL checkpoints
- Implement tool and action allowlisting
- Integrate MCP tool integration
- Integrate SonarQube and Playwright gates
- Mitigate secrets exposure and supply chain risk
- Monitor token spend and cost governance
- Provide cross functional enablement and training
- Set quality bars and pass fail criteria
- Set up telemetry and tracing for agent workflows
- Track agentic code check in rates
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Agent Orchestration | Agent systems | Azure AI | Azure AI Services | Azure DevOps | CI/CD | Claude | Context engineering | Cost monitoring | DAST | Dependency Scanning | DevSecOps | Evaluation Frameworks | GitHub | GitHub Actions | GitHub Copilot | HIPAA | Human-in-the-loop | Infrastructure as Code | LLMOps | Latency monitoring | Microsoft 365 | Microsoft Azure | Model Context Protocol | Model routing | Multi-Agent | Multi-Agent Systems | OWASP | OpenAI | PHI handling | Permission scoping | Playwright | Prompt engineering | Prompt injection | Prompt injection mitigation | Regression testing | SAST | Sandbox security | Sandboxing | Secret Scanning | Secure CI/CD | SonarQube | Spend Monitoring | Telemetry | The Loop | Token Spend Monitoring | Tool Allowlisting | Tracing | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Solutions | AI Solutions Engineer | Engineer | Software Engineer | Solutions Engineer
Regions
Countries
States
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