AI Compliance Engineer (Responsible AI)

About This Role

SnowHeap is a UAE-based AI consultancy. We ship production LLM systems for regulated industries across MENA/EU/US and need an AI Compliance Engineer to own model governance, safety, and evaluations across our stack (OpenAI, Claude, Agno, CrewAI, LangChain/LangGraph/LangSmith).

You’ll design controls that let us move fast and stay auditable: policy to pipeline, document to dashboard. Location: Remote (MENA/EU time zones) with optional Dubai meetups.

Contract Type: 6-month temporary contract (with potential extension based on project needs and performance).

Location: Remote (MENA/EU time zones). Candidates must be able to align at least 80% of their working hours with UAE time (depending on their location). Optional Dubai meetups.

Please note: We are unable to provide visa sponsorship for this role at this time.

Tasks

• 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”.

Nice-to-haves

• ISO 27001/ISO 42001/SOC 2 implementation or audit experience.

• Prior red-teaming of LLMs (prompt-injection, data exfiltration, harmful content).

• Experience in regulated domains (financial services, healthcare, public sector).

• Arabic or UAE market experience.

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.

If you’ve shipped real LLM systems and can turn regulation into running code and measurable quality , we want to talk.

Apply with your CV plus any of the following (optional but helpful):

• Links to eval frameworks, safety work, or red-team write-ups you’ve done

• Example policies/checklists you authored (redacted is fine)

• GitHub or snippets showing eval harnesses, guardrails, or LangSmith/LangGraph workflows

SnowHeap is an equal-opportunity employer. We value diverse perspectives and hire for talent, integrity, and impact.