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prompt and agent engineer

Brainlake Advertising LLC

<div>Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives<ul>
<li>
Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes</li>
<li>Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
</li><li>Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing</li>
<li>Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks</li>
<li>Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements</li>
<li>Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions</li>
<li>Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables</li>
</ul>
Requirements<ul>
<li>
3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution</li>
<li>Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder</li>
<li>Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)</li>
<li>Experience with RAG architectures, function calling, tool use, and multi-agent systems</li>
<li>Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)</li>
<li>Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality</li>
<li>Public sector or government consulting experience is a plus (Arabic is a plus)</li>
<li>Google Cloud or AI-related certifications are a bonus</li></ul></div>

Prompt and Agent Engineer

Brainlake

<div>
 Seeking a high-performing Prompt &amp; Agent Engineer (Senior Associate / Manager) to join a fast-paced engagement on-site in Doha, Qatar. This is a 3-month contract, extendable based on performance and project needs.
 
 
 The primary purpose of the role is to rapidly design, build, and deploy AI agents and prompt-engineered solutions for different use cases. You will work hands-on with large language models &mdash; particularly Google Gemini &mdash; to develop production-ready agents that automate workflows, enhance citizen services, and drive operational efficiency across certain initiatives
 
 
 <ul>
 <li>
 Agent Development - Design, build, and deploy AI agents using Google Gemini and related frameworks to automate workflows and service delivery processes
 </li>
 <li>
 Prompt Engineering - Craft, test, and optimize advanced prompts and prompt chains to maximize LLM output quality, accuracy, and reliability for production use cases
 </li>
 <li>
 Rapid Prototyping - Quickly build functional prototypes and MVPs of AI-powered tools, iterating fast based on stakeholder feedback and real-world testing
 </li>
 <li>
 Integration and Orchestration - Connect AI agents with APIs, databases, and existing government systems using orchestration tools such as LangChain, Vertex AI Agent Builder, or similar frameworks
 </li>
 <li>
 Evaluation and Testing - Develop evaluation benchmarks, test suites, and guardrails to ensure agent outputs are accurate, safe, and aligned with compliance requirements
 </li>
 <li>
 Knowledge Transfer - Document agent architectures, prompt libraries, and best practices. Support internal teams in adopting and maintaining deployed solutions
 </li>
 <li>
 Stakeholder Collaboration - Work closely with project leads, solution architects, and government stakeholders to translate business requirements into AI agent specifications and deliverables
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3-5 years of hands-on experience in AI/ML engineering, prompt engineering, or agent development with a strong bias for speed and execution
 </li>
 <li>
 Demonstrated experience building agents and applications using Google Gemini (required), with familiarity in Vertex AI, Gemini API, and Agent Builder
 </li>
 <li>
 Strong programming skills in Python with experience in LLM orchestration frameworks (LangChain, Llama Index, or equivalent)
 </li>
 <li>
 Experience with RAG architectures, function calling, tool use, and multi-agent systems
 </li>
 <li>
 Ability to work on-site in Doha, Qatar for the full engagement duration (3 months, extendable)
 </li>
 <li>
 Fast learner who thrives under pressure with a ship-fast, iterate-fast mentality
 </li>
 <li>
 Public sector or government consulting experience is a plus (Arabic is a plus)
 </li>
 <li>
 Google Cloud or AI-related certifications are a bonus
 </li>
 </ul>
</div>

Swiss Hospitality

<div>We are seeking a senior AI Systems Architect to design and implement AI-native application cores where Large Language Models (LLMs), vector databases, retrieval systems, and agent frameworks form the primary computational layer of our web and mobile applications.
This role is responsible for architecting scalable AI pipelines, retrieval-augmented generation (RAG) systems, memory architectures, AI agents, and orchestration workflows integrated with our development stack (Web, Mobile, n8n automation, and AI services).
The ideal candidate understands that AI is not a feature, it is the operating system of the product.
Key Responsibilities
1. AI Core Architecture Design<ul>
<li>
Design AI-first system architecture for web and mobile applications</li>
<li>Architect RAG pipelines using vector databases</li>
<li>Define long-term memory, short-term memory, and contextual state systems</li>
<li>Implement multi-agent AI systems</li>
<li>Design AI orchestration layers</li>
</ul>
2. Vector Database &amp; Embedding Systems<ul>
<li>
Select and implement vector databases such as:</li>
<li><ul><li>Pinecone</li>
<li>Weaviate</li>
<li>Qdrant</li>
<li>Milvus</li>
<li>Supabase (pgvector)</li>
</ul></li><li>Optimize embedding strategies</li>
<li>Implement hybrid search (semantic + keyword)</li>
<li>Design scalable indexing pipelines</li>
</ul>
3. LLM Integration &amp; Optimization<ul>
<li>
Work with models such as:</li>
<li><ul><li>OpenAI APIs</li>
<li>Anthropic</li>
<li>Meta (LLaMA)</li>
<li>DeepSeek</li>
<li>Alibaba (Qwen)</li>
</ul></li><li>Implement structured output pipelines</li>
<li>Design evaluation and prompt testing frameworks</li>
<li>Optimize cost-performance ratio</li>
</ul>
4. AI Agent Systems &amp; Orchestration<ul>
<li>
Build autonomous AI agents</li>
<li>Design tool-calling systems</li>
<li>Integrate with:</li>
<li><ul><li>n8n</li>
<li>LangGraph / LangChain style agent flows</li>
</ul></li><li>Implement memory-aware agents</li>
</ul>
5. Production AI Engineering<ul>
<li>
Build monitoring systems for hallucination detection</li>
<li>Design guardrails and validation layers</li>
<li>Implement evaluation datasets and benchmarking</li>
<li>Ensure security of AI pipelines</li>
<li>Build scalable infrastructure (Docker, Kubernetes, GPU optimization)</li>
</ul>
Requirements
Technical Expertise<ul>
<li>
5+ years software engineering experience</li>
<li>2+ years building production AI systems</li>
<li>Deep knowledge of:</li>
<li><ul><li>Vector embeddings &amp; similarity search</li>
<li>RAG architectures</li>
<li>Tokenization and context window optimization</li>
<li>Fine-tuning &amp; LoRA concepts</li>
<li>Prompt evaluation frameworks</li>
</ul></li><li>Experience with Python (mandatory)</li>
<li>Experience with FastAPI / backend services</li>
<li>Experience designing scalable APIs</li>
</ul>
Architecture Experience<ul>
<li>
Designing distributed systems</li>
<li>Microservices &amp; event-driven architecture</li>
<li>Experience with PostgreSQL + pgvector</li>
<li>Experience deploying LLM systems in production</li></ul></div>

AI Systems Architect - LLM & Vector Infrastructure

Tabby

<div><h3 class="jobSectionHeader">Description</h3><div> 
Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company. 
</div><div>This internship is not educational by default. It is an engineering-adjacent role with real production impact.</div><div>
The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling. 
</div><div>The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.</div><h3 class="jobSectionHeader"> 
Key Responsibilities</h3><div> 
This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools. 
</div><ul><li>Build AI agents and automations using internal no-code and low-code tooling</li>
<li>Configure agent workflows, tools, and orchestration logic</li>
<li>Integrate agents with internal systems via APIs and tools</li>
<li>Participate in designing agent architectures and workflows</li>
<li>Help test, evaluate, and iterate on agent behavior and quality</li>
<li>Work with datasets and evaluation results to improve agent performance</li>
<li>Document agent logic, workflows, and best practices</li>
<li>Work closely with platform engineers, product managers, and internal users</li></ul> 
<h3 class="jobSectionHeader">
Skills, Knowledge &amp; Expertise</h3> 
<ul>
<li>
Strong logical and systems thinking</li>
<li>Ability to break down human workflows into structured steps</li>
<li>Understanding of how web services, APIs, and tools interact</li>
<li>Experience with no-code or low-code platforms</li>
<li>Basic understanding of data formats (JSON), APIs, and webhooks</li>
<li>Ability to reason about edge cases, failure modes, and correctness</li>
<li>High level of ownership and responsibility</li>
<li>Comfort with fast iteration and experimental environments</li>
<li>English sufficient for documentation and team communication</li>
</ul><ul><li>Experience with LLMs, AI agents, or automation</li>
<li>Experience building internal tools or automations</li>
<li>Experience with Python</li>
<li>Education in data science, machine learning field</li>
<li>Understanding of prompt design or agent orchestration concepts</li>
<li>Familiarity with evaluation, testing, or quality metrics</li>
<li>Curiosity about AI system behavior and limitations</li></ul> 
<h3 class="jobSectionHeader">
Eligibility</h3> 
<ul>
<li>
Saudi nationals only</li>
<li>Internship is structured and administered through HRDF</li>
<li>We welcome both current students and fresh grads</li>
<li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li>
</ul><ul><li>Paid internship</li>
<li>Full integration into the automations building team</li>
<li>Distributed engineering team across multiple countries</li>
<li>Remote work is available from anywhere</li>
<li>Office-based work is available in Riyadh</li>
<li>Clear path to a junior AI automation, no-code engineer, or platform role based on performance</li>
</ul><div>
 
This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.</div><h3 class="jobSectionHeader"> 
About Tabby</h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money. 
 
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. 
 
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region. 
 
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

No-Code / AI Agents Engineering Intern

Hudhud Maps

<div>About The Role:
We are looking for a Senior Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. This role requires strong research-to-production skills, combined with robust software engineering capabilities to ensure scalable, reliable systems.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and deploy NLP and LLM-based solutions for real-world applications.</li><li>
Translate research papers and experimental models into production-ready systems.</li><li>
Architect and implement scalable ML pipelines, ensuring performance and reliability.</li><li>
Collaborate with product and engineering teams to integrate ML models into Hudhud's platforms.</li><li>
Conduct experiments, evaluate models, and optimize for accuracy, efficiency, and cost.</li><li>
Stay up to date with the latest advancements in NLP, LLMs, and generative AI.</li><li>
Guide junior engineers and contribute to building a high-performance AI team.</li></ul><h3 class="jobSectionHeader">
Qualifications &amp; Skills</h3>
<ul><li>Education: MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.</li><li>
Experience: Minimum 5+ years of professional experience in ML/NLP, with at least 3+ years working on LLMs.</li><li>
Core Expertise:<ul><li>
Strong background in NLP techniques (transformers, embeddings, sequence models).</li><li>
Hands-on experience with LLMs (fine-tuning, prompt engineering, model evaluation).</li><li>
Practical experience with LangChain and/or Haystack frameworks for building LLM-powered applications.</li><li>
Solid understanding of ML system design and deployment in production environments.</li></ul></li><li>
Software Engineering Skills:<ul><li>
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Strong knowledge of software engineering principles (version control, testing, CI/CD).</li><li>
Experience with distributed systems, APIs, and microservices.</li><li>
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li></ul></li></ul><ul><li>
Problem-Solving: Excellent analytical skills and ability to work independently in a fast-paced startup environment.</li><li>
Preferred: Experience in Arabic NLP or multilingual LLMs is a strong plus.</li></ul>
Joining Hudhud means:
<ul><li>Working on real-world problems with direct impact across industries in Saudi Arabia and beyond.</li><li>
Being part of a fast-growing startup that values innovation, ownership, and bold ideas.</li><li>
Collaborating with a team passionate about pushing the boundaries of geospatial technology.</li><li>
Helping shape the future of customer experience through maps and location intelligence.</li></ul>
We're not just building technology &mdash; we're redefining how people and businesses experience the world around them.</div>

Senior Machine Learning Engineer (NLP/LLMs)

Rewaa

<div>
 
 
 Rewaa is on a mission to revolutionise retail! Our cutting-edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point-of-sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning-fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there's never been a better time to join Rewaa!
 
 
 
 
 
 
 
 Own the end-to-end AI strategy and execution for our B2B business. You&rsquo;ll build an agentic-AI platform&mdash;designing, deploying, and operating AI agents that automate complex workflows, augment human teams, and drive measurable revenue and efficiency. You&rsquo;ll lead Data Science, ML/LLM Engineering, MLOps, and Data Platform functions to deliver production-grade automation.
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 AI &amp; Automation Strategy: Define a 12&ndash;24 month roadmap for agentic AI, including prioritized workflows, business cases, and an experiment-to-production funnel
 
 </li>
 </ul>
 <ul>
 <li>
 Agentic Systems: Architect multi-agent systems (planning, tool use, retrieval, memory, monitoring) to automate end-to-end B2B processes (e.g., lead ops, customer service workflows, underwriting, ticket triage, finance operations)
 
 </li>
 </ul>
 <ul>
 <li>
 ML/LLM Productization: Ship production AI features (LLM orchestration, RAG, fine-tuning/LoRA, structured tool calling, function routing, evaluator loops) with defined reliability SLAs
 
 </li>
 </ul>
 <ul>
 <li>
 Data Platform &amp; MLOps: Own data quality, feature stores, model registries, CI/CD for models, online/offline evaluation, observability, and cost/performance governance
 
 </li>
 </ul>
 <ul>
 <li>
 Risk, Governance &amp; Safety: Establish guardrails for privacy, security, bias, model drift, safety, prompt injection, and compliance&mdash;including human-in-the-loop systems where needed
 
 </li>
 </ul>
 <ul>
 <li>
 Team Leadership: Build and mentor a 15+ person organization across Data &amp; AI; elevate hiring standards, technical bar, and team culture
 
 </li>
 </ul>
 <ul>
 <li>
 Partnerships &amp; Vendors: Evaluate and negotiate with model providers, vector DBs, evaluation platforms, data vendors, and cloud partners; drive a hybrid build-vs-buy strategy
 
 </li>
 </ul>
 <ul>
 <li>
 Metrics &amp; ROI: Tie AI initiatives to revenue lift, margin expansion, and cycle-time reduction; present measurable outcomes to executive leadership
 </li>
 <li>
 Cross-Functional Leadership: Partner with Product, Design, Sales, Operations, Legal, and Security to land AI features and enterprise deployments
 
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 <ul>
 <li>
 12+ years in Data/ML, including 5+ years leading managers and multi-disciplinary teams
 
 </li>
 </ul>
 <ul>
 <li>
 Solid understanding of agentic or tool-using LLM systems (planning, tool invocation, evaluators, autonomous workflows)
 
 </li>
 </ul>
 <ul>
 <li>
 Strong ML fundamentals (supervised/unsupervised learning, sequence models, embeddings, retrieval, evaluation design, causal inference)
 
 </li>
 </ul>
 <ul>
 <li>
 Deep MLOps experience (feature stores, model registry, deployment patterns, drift detection, online/offline evaluation, A/B frameworks)
 
 </li>
 </ul>
 <ul>
 <li>
 Proven ability to translate ambiguous business processes into automated AI workflows with quantifiable ROI
 
 </li>
 </ul>
 <ul>
 <li>
 Excellent executive communication and stakeholder management across Product, GTM, Operations, Security, and Legal
 
 </li>
 </ul>
 
 
 
 
 Compensation and Benefits
 
 <ul>
 <li>
 Competitive monthly salary
 </li>
 <li>
 Stock Option Plan
 </li>
 <li>
 Health insurance for the employee, their spouse, and children
 </li>
 <li>
 21 working days of annual vacation
 </li>
 <li>
 Rewaa is a fast-growing company with great opportunities to develop
 
 </li>
 </ul>
 
 
 
 
 
 
 
 Alert for Candidates
 
 
 
 
 
 Please be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa&rsquo;s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
 
 
 
 
 
 
 &nbsp;
 
 تنبية للمتقدمين
 
 
 تؤكد شركة رِواء وشركاتها التابعة على أنها لا تجري أي مقابلات عمل عبر البريد الإلكتروني أو الرسائل النصية، ولن تطلب أي مبالغ مادية كشرط للتقديم أو لتلقي عرض عمل على أي وظيفة. التقديم على وظائف شركة رواء يتم فقط عبر القنوات الرسمية للشركة، ونحذر من مشاركة معلوماتك الشخصية (مثل الاسم، العنوان، تاريخ الميلاد، والهوية الوطنية، وغيرها) مع أي طرف خارجي.
 
 
 
 
 
 
 
 Notice to External Recruiters and Staffing Agencies
 
 
 
 
 
 Rewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third-party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
 
 
 
 
 
 
 &nbsp;
 
 إشعار للمستقطبين الخارجيين ووكالات التوظيف
 
 
 تؤكد شركة رِواء أنها لا تقبل أي سيرة ذاتية من المستقطبين الخارجيين أو وكالات التوظيف إلا إذا كانت بموجب عقد مبرم وموقع بين الطرفين. أي سيرة ذاتية تُقدم إلى قاعدة بياناتنا، أو تُرسل مباشرةً إلى مسؤولي التوظيف في شركة رِواء، أو تُرسل عبر أي وسيلة أخرى دون عقد مسبق، ستُعتبر خدمة مجانية، ولن يتم دفع أي رسوم توظيف في حال تعيين المرشح. تُدفع الرسوم فقط إذا تم طلب السيرة الذاتية من قِبَل مسؤولي التوظيف لدى شركة رِواء بموجب العقد.
 
 
 
 
 
 
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
</div>

VP of Data & AI

DXC Technology

<div>Job Description:
Location &amp; Working Model
 
Riyadh, on-site (Sun&ndash;Thu, business hours) with occasional change windows and P1 escalation support.
Job Summary
 
Own the environment&rsquo;s enterprise data classification program with Fortra Titus as the primary platform. You&rsquo;ll design the label taxonomy, engineer enforcement across Windows and Microsoft 365 apps, integrate classification metadata with Forcepoint DLP and Seclore DRM , drive adoption, and guarantee evidence and change hygiene aligned. You&rsquo;ll be the final escalation for classification issues, mentor L2 engineers, and lead audits for Data Security controls. Fortra Titus labeling improves downstream DLP accuracy and governance when implemented correctly.
Tool stack &amp; scope (primary adjacent)
<ul><li>Primary: Fortra Titus Data Classification Suite (DCS) for Windows &amp; Microsoft Office/Outlook (policy manager, client add-ins, enforcement, audit). Integrations: Forcepoint DLP (consume Titus tags/metadata in policies), Seclore DRM (rights templates driven by classification), SIEM for audit events.
</li><li>Adjacent toolset: Forcepoint DLP (Email/Host), Seclore DRM, Imperva DAM , Trend Micro (Apex One / ScanMail), Carbon Black EDR , Tripwire/FIM , OPSWAT MetaDefender Kiosk , Data Patrol Watermark , Nexthink (analytics).
</li></ul>Key responsibilities
Architecture &amp; Program Ownership
<ul><li>Define and maintain the classification taxonomy (labels, markings, handling rules, exceptions) and publish through Titus Policy Manager (SaaS/on-prem).
</li><li>Engineer user-driven and automatic classification in Office/Outlook with mandatory prompts and save/send enforcement; ensure consistent persistent metadata for downstream controls.
</li><li>Map/align Titus fields with Microsoft sensitivity labels where required (coexistence scenarios).
</li></ul>Integration &amp; Control Efficacy
<ul><li>Integrate Titus metadata into Forcepoint DLP detection and actions; drive policy tuning to reduce false positives/negatives.
</li><li>Orchestrate Seclore DRM policy/rights templates based on classification; ensure protected files remain discoverable by DLP/CASB/SEG where feasible.
</li><li>Ensure SIEM onboarding for classification and enforcement events; maintain dashboards and KPIs.
</li></ul>Operations, Change &amp; Evidence
<ul><li>Own configuration lifecycle (versioning, test prod promotion, rollback plans) under ITIL Change; publish SOPs/runbooks and update knowledge articles.
</li><li>Drive agent/add-in coverage health (Windows and O365) with Nexthink/endpoint tooling; coordinate with Endpoint/Email teams for hygiene.
</li></ul>Adoption, Training &amp; Communications
<ul><li>Run adoption campaigns (targeted prompts, coaching, newsletters), partner with Compliance/Legal for business-friendly labels and retention guidance.
</li></ul>Incident Leadership &amp; RCA
<ul><li>Lead classification-related P1/P2 incidents (mislabeling, blocking, leakage workflows); perform RCA and implement preventive changes across Titus/DLP/DRM.
</li></ul>Compliance &amp; Audit (SAMA/NCA)
<ul><li>Map the classification control set and evidence (Data Security domain) and NCA ECC ; prepare audit-ready packs (tickets, approvals, logs, reports).
</li></ul>Required qualifications
<ul><li>7+ years in data protection, including 3+ years hands-on with Fortra Titus DCS at enterprise scale (taxonomy, Policy Manager, O365/Outlook enforcement).
</li><li>Proven integration delivery with Forcepoint DLP and Seclore DRM (policies driven by Titus metadata).
</li><li>Strong Windows/O365 admin basics; experience with ITIL Change/Incident and evidence-quality documentation for regulated audits (banking).
</li><li>Comfortable collaborating across Data Protection, Email, Endpoint, DB Security, and SOC teams
</li></ul>Day-to-day (what you&rsquo;ll actually do)
<ul><li>Build and publish Titus configurations, update label sets/markings, and test enforcement before rollout.
</li><li>Tune Forcepoint DLP rules to reference Titus tags; manage exceptions with expiry and approvals.
</li><li>Coordinate with Seclore on classification-driven protection flows and ensure mail/file workflows remain usable and monitorable.
</li><li>Track KPIs: coverage %, label adoption %, DLP FP rate, exception backlog, and incident MTTR; publish weekly reports.
</li><li>Mentor L2 engineers; provide enablement for Service Desk and business champions.
</li><li>Keep everything evidence-ready for internal reviews and checks.
</li></ul>At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.</div>

L3 Data Classification Engineer

Explore 1864+ Prompt and agent engineer in Room Dining Four Seasons Hotel Riyadh Jobs In Riyadh this February. Find roles across top companies and apply now to boost your career.

1864 prompt and agent engineer jobs In Room Dining Four Seasons Hotel Riyadh Jobs In Riyadh

Prompt and Agent Engineer

Prompt and Agent Engineer

AI Systems Architect - LLM & Vector Infrastructure

No-Code / AI Agents Engineering Intern

Senior Machine Learning Engineer (NLP/LLMs)

VP of Data & AI

L3 Data Classification Engineer