Unlock your data.
AI Compliance Engineer – Responsible AI
Location
United Arab Emirates
Posted
66 days ago
Salary
0
Seniority
Senior
Job Description
AI Compliance Engineer – Responsible AI
Snowheap
• 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.
Job 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.
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
• Production reliability: ensuring HAP (our Hybrid AI Platform) and customer deployments operate dependably under real traffic, real data, and real regulatory constraints • Agent trust: building the frameworks — technical and operational — that allow enterprise customers to trust autonomous AI agents doing work on their behalf • A production quality operating system: quality gates, phase transition criteria, incident taxonomy, observability spec across our 6-layer Reference Architecture • A continuous validation framework for agentic workflows — autonomous evaluation pipelines that catch regression without human intervention • An agent decision qualification framework: risk-tiered oversight for autonomous agent decisions • A trust evidence system: the observable signals that enterprise customers use to extend trust to agents operating on their behalf • Production observability: instrumentation across Ingest, Prepare, Serve, Orchestrate, Monitor, and Optimize layers of the Reference Architecture • A post-mortem and CAPA system: every production incident produces a root cause, a corrective action, and a new test that prevents recurrence
AI Product Portfolio Director
ServiceNowAs the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,100+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.servicenow.com/careers. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: Want to define how AI reshapes the end-to-end marketing lifecycle and turns strategy into durable operating leverage? This role sits at the intersection of marketing, product, and enterprise AI execution. You will own the strategic spine that connects AI ambition to real productivity, portfolio coherence, and measurable growth. As AI Product Portfolio Director, you will define a singular vision for how AI is deployed across marketing, translate that vision into an actionable MarTech and agentic roadmap, and ensure investments compound rather than fragment. This is not an experimentation role. It is a Product Management role with accountability for outcomes. You will work across Global Marketing, Technology, and external partners to ensure AI capabilities align to ServiceNow's platform, product direction, and enterprise standards. Success is measured by adoption, efficiency gains, and the organization's rising AI fluency, not by pilots shipped. Key Responsibilities: - Own the AI MarTech and agentic roadmap, prioritizing capabilities that eliminate redundant workflows, increase speed to market, and improve decision quality. - Evaluate AI tools, platforms, and vendor offerings to determine strategic fit, scalability, and integration within ServiceNow's marketing and enterprise technology environment. - Identify, design, and scale agentic and multi-agent use cases that replace manual processes with durable, governed automation. - Develop and deliver the executive narrative that aligns AI strategy, investment, and operating impact, enabling leadership to make clear tradeoffs and funding decisions. - Drive AI proficiency across the marketing organization by shaping enablement strategies, learning paths, and practical adoption models that move teams from curiosity to competence. - Partner with AI, security, legal, and data leaders to ensure responsible deployment, governance alignment, and long-term scalability. - Track and demonstrate value creation, ensuring AI investments deliver measurable productivity gains and strategic leverage, not isolated wins. Qualifications To be successful in this role you have: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 12+ years of experience across Product Management, Marketing Strategy, Marketing Operations, Transformation, or Product-led Growth, with demonstrated leadership in AI-driven initiatives and demonstrated ownership of complex, cross-functional initiatives. - Proven experience evaluating and deploying AI tools, platforms, and workflows across a marketing ecosystem, with accountability for outcomes. - Proven ability to assess and rationalize complex MarTech and AI ecosystems, translating strategy into clear roadmaps and execution priorities. - Deep understanding of AI agents, LLMs, generative AI, and agentic workflows, with a practical bias toward business and operational impact. - Experience building executive-level narratives that connect AI investment to business performance, efficiency, and growth. - Strong cross-functional leader who can align product, marketing, technology, and vendors around a single strategic direction. - Comfort operating in ambiguity while driving toward clarity, focus, and outcomes at scale. - Clear, credible communicator with the ability to influence senior leaders and align diverse stakeholders. JV20 For positions in this location, we offer a base pay of $173,200 - $238,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Role Description Are you ready to build the future of People Experience? We are looking for an AI Product Engineer (our internal "AI Builder") to join our People Tech, Data & Innovation team. This isn’t a traditional HR role. We want a tech-forward creator who believes that AI and automation are the keys to unlocking human potential. You will be the bridge between complex data and seamless employee experiences, using the Google ecosystem to turn manual "clutter" into high-tech, automated solutions. What You’ll Be Doing - AI Solution Architecting: You’ll use Gemini and other LLMs to generate Google Apps Script/JavaScript code, connecting our systems and building bespoke internal tools that make "self-service" a reality. - Google Cloud Innovation: You will leverage Google Cloud Project environments to manage data and build structured workflows that capture clean data at the source. - Data Storytelling: You’ll deep-dive into PX insights to craft stunning Looker Studio or Tableau dashboards, translating technical data into "plain English" narratives for our Chief People Officer and senior stakeholders. - Automation Mastery: You’ll proactively hunt down manual processes and "email tennis," replacing them with automated workflows (via Zapier, Power Automate, or scripts) to boost productivity across the business. - Strategic Foundation: You’ll act as the primary data supplier to our Workforce Planning function, ensuring our "Operational Data" is clean and ready for future predictive modeling. Qualifications - Google Ecosystem Expertise: You are comfortable within Google Cloud Project and have a strong aptitude for Google Apps Script. - AI-Fluent: You are an expert at prompting LLMs (like Gemini) to write code, debug errors, and structure logic. You don’t just use AI; you partner with it. - Data Visualization Pro: You have proven mastery of Looker Studio or Tableau, with the ability to turn messy datasets (BigQuery/Sheets) into intuitive stories. - The "Better Way" Mindset: You are naturally proactive. You don't need all the answers on day one, but you have the technical curiosity to find them. - Low-Code Aptitude: You don’t need to be a full-stack developer, but you must be comfortable reading, editing, and implementing code to solve problems. Benefits - 25 days' holiday (plus bank holidays), with an extra day after three, five, and 10 years of service. - An extra day's paid leave each year to volunteer for a cause close to your community or your heart. - Big moment day - an extra day’s paid leave for significant life events. - Bonus scheme - you'll get a stake in our success and a chance to add to your annual earnings. - Help saving for your retirement - we'll match your company pension contributions up to 6%. - Supportive and progressive people policies, including enhanced family leave and policies to promote flexibility, inclusion, and progression. - A healthcare cash plan - giving you money back for a range of medical expenses and fast access to doctor's appointments. - Car lease scheme - you can buy a brand new electric or hybrid car through our leasing partner. - Wellbeing support - including a 24/7 assistance programme for you and your family. - Access to lots of discounts, including 15% off with Reach's online marketplace, Yimbly. - Interest-free loans, including for season tickets and technology. Additional Information If you’re excited about this role but don’t tick every single box, please don’t let that stop you from applying. We value potential, passion, and the perspectives that different backgrounds bring to our work. Diverse perspectives strengthen our teams and help us better serve our audiences, which is why we’re dedicated to fostering an inclusive workplace where everyone feels welcome and supported. As an equal opportunities employer, we encourage applications from people of all backgrounds and experiences. We are committed to a recruitment process that is fair and welcoming to all, without discrimination on the basis of age, disability, gender identity, ethnicity, religion or belief, sexual orientation, or any other protected characteristic.
Associate – Professional Practice Team, AI Audit-Tech Startup
Deep Neuron LabDNL is a data sourcing company, that utilizes artificial intelligence to produce high quality financial data.
• You actively contribute to improving our software for auditing financial and non-financial reports • You collaborate closely with Product, Engineering, and Sales to improve the product and internal processes • You help scale workflows and knowledge bases as our customer base grows • You support users with requests, acting as the trusted voice of our customers internally • You communicate with users in a clear, structured, and proactive way




