Snowheap

AI Compliance Engineer – Responsible AI

Snowheap

contract

Posted on:

Location Type: Remote

Location: Lebanon

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Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonTypeScript

About the role

  • Define and run SnowHeap’s AI governance program: policies, control library, risk register, exception handling, and sign-offs (from ideation to production).
  • Map laws and frameworks (EU AI Act, GDPR/PDPL/DIFC DPL, NIST AI RMF, ISO/IEC 42001 & 27001, SOC 2) to concrete technical controls in our products and client projects.
  • Build an evaluation harness for LLMs/agents: golden sets, scenario tests, adversarial probes, offline evals, and online A/Bs; track hallucination, safety, bias, privacy leakage, robustness, cost, and latency.
  • Implement guardrails (PII detection, jailbreak/prompt-injection defenses, output filters, content safety) and wire them into pipelines (LangChain/LangGraph, CrewAI/Agno).
  • Stand up audit-ready telemetry: data lineage, prompt/response logging with redaction, model cards, decision traces, and approval workflows (LangSmith/observability tools).
  • Partner with Security/Privacy on DPIAs/TRA, retention, DLP, key management, access controls, and vendor risk (OpenAI/Anthropic terms, Azure/GCP/AWS).
  • Lead red-teaming exercises; coordinate incident response playbooks for model failures and safety regressions.
  • Review prompts, fine-tunes, and datasets for policy compliance; curate evaluation datasets and “go/no-go” acceptance criteria.
  • Coach engineers, sales, and clients; write crisp docs and checklists; run internal trainings and readiness reviews.
  • Contribute to proposals and client audits; turn compliance into a product advantage.

Requirements

  • 4+ years in Security/Privacy/Compliance, ML governance, or safety engineering, with 2+ years on LLM products.
  • Strong grasp of LLM stacks: OpenAI & Azure OpenAI, Claude, Agno, CrewAI, LangChain/LangGraph/LangSmith.
  • Hands-on model evaluation: building test sets, rubric-based scoring, offline/online evals, statistical analysis; familiarity with tools or libraries for evals/observability.
  • Working knowledge of privacy & AI risk (GDPR/PDPL/DIFC DPL, EU AI Act concepts, NIST AI RMF), and how to turn them into safeguards, SOPs, and controls.
  • Context engineering expertise: ability to design, test, and audit prompt chains, context windows, and memory architectures for compliance, safety, and explainability.
  • Solid scripting in Python/Pydantic (TypeScript nice to have); able to review PRs and add compliance checks to CI/CD.
  • Cloud/MLOps fluency: one of AWS/GCP/Azure; containers, secrets, monitoring, access controls.
  • Excellent writing and stakeholder skills; can say “no” with rationale and ship a safer “yes”.
Benefits
  • High-ownership role shaping SnowHeap’s AI governance and product roadmap.
  • Remote-first across MENA/EU time zones; flexible hours.
  • Competitive compensation with performance bonus.
  • Fast career growth, build the function and lead it.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI governancemodel evaluationstatistical analysisscripting in Pythoncontext engineeringcompliance checksrisk managementdata lineageadversarial probesprivacy leakage detection
Soft Skills
stakeholder communicationcoachingwriting documentationinternal trainingincident response coordinationpolicy compliance reviewdecision makingteam collaborationproblem solvingleadership