AI Compliance Engineer (Responsible AI)
New
Remote (MENA/EU time zones), MENA/EU time zones, 80% working hours with UAE timeTemporaryMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years in Security/Privacy/Compliance, ML governance, or safety engineering, with 2+ years on LLM products
- Required Skills
- AWSPythonGCPAzureLangChain
Requirements
- 4+ years in Security/Privacy/Compliance, ML governance, or safety engineering
- 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
- Working knowledge of privacy & AI risk (GDPR/PDPL/DIFC DPL, EU AI Act concepts, NIST AI RMF)
- Context engineering expertise: ability to design, test, and audit prompt chains, context windows, and memory architectures
- Solid scripting in Python/Pydantic (TypeScript nice to have)
- Cloud/MLOps fluency: one of AWS/GCP/Azure; containers, secrets, monitoring, access controls
- Excellent writing and stakeholder skills
Responsibilities
- Define and run SnowHeap’s AI governance program: policies, control library, risk register, exception handling, and sign-offs.
- Map laws and frameworks (EU AI Act, GDPR/PDPL/DIFC DPL, NIST AI RMF, ISO/IEC 42001 & 27001, SOC 2) to concrete technical controls.
- Build an evaluation harness for LLMs/agents: golden sets, scenario tests, adversarial probes, offline evals, and online A/Bs.
- Implement guardrails (PII detection, jailbreak/prompt-injection defenses, output filters, content safety) and wire them into pipelines.
- Stand up audit-ready telemetry: data lineage, prompt/response logging with redaction, model cards, decision traces, and approval workflows.
- Partner with Security/Privacy on DPIAs/TRA, retention, DLP, key management, access controls, and vendor risk.
- 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.
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