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ai strategy lead

Virtusa

<div>Job Description:
The AI Strategy Lead is responsible for shaping and guiding the strategic direction of AI initiatives across the organization. This role ensures that AI
platforms, data architectures, and tools are selected and integrated in alignment with wider technology and business strategy.
The Strategy Lead bridges business and technology perspectives, working closely with stakeholders to identify high-impact use cases, define strategic
priorities, and ensure that the right technologies are selected for the right business problems. This role monitors trends, keeps up to date on latest
technological developments and works with vendors to develop POC&rsquo;s to preparer later adoption and scale.
Key Responsibilities:
<ul><li> Define and drive the strategic roadmap for AI across the enterprise.
</li></ul><ul><li> Guide the selection and integration of AI platforms, data architectures, and tools.
</li></ul><ul><li> Engage stakeholders across business and technology functions to align priorities.
</li></ul><ul><li> Develop and evaluate AI use cases for strategic fit and value realization.
</li></ul><ul><li> Maret and trend monitoring for new technologies and tools and vendors
</li></ul><ul><li> Work with selected vendors to develop POC for later adoption.
</li></ul><ul><li> Monitor strategic KPIs and report on AI impact and maturity.
</li></ul>Required Qualifications:
<ul><li> Advanced degree in Business, Technology, AI, or related field.
</li></ul><ul><li> Minimum 8 years of experience in AI strategy, digital transformation, or enterprise architecture.
</li></ul><ul><li> Strong strategic thinking and planning capabilities.
</li></ul><ul><li> Proven ability to engage and influence cross-functional stakeholders.
</li></ul><ul><li> Deep understanding of both business and technology perspectives in AI.
</li></ul><ul><li> Experience in use case development, policy alignment, and risk governance.
</li></ul><ul><li> Excellent communication, analytical, and leadership skills.
</li></ul><div>About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

AI Strategy Lead

<div>Job Description:
The AI Lead is responsible for the strategic oversight, coordination, and performance management of all AI-related roles and initiatives
within the AI Center of Excellence (CoE). This role ensures that AI efforts are aligned with business objectives, fosters cross-functional
collaboration, and enforces governance and ethical standards across AI projects and capabilities.
The AI Lead will serve as a visionary leader across AI disciplines. This role is pivotal in building and scaling AI capabilities, monitoring
performance through KPIs, and ensuring responsible AI practices are embedded throughout the organization.
Key Responsibilities:
<ul><li> Oversee and coordinate all AI-related roles including architects, AI Strategy Lead, Governance Lifecycle Management and Adoption Lead.
</li></ul><ul><li> Ensure alignment of AI COE initiatives with enterprise-wide business goals and lead cross-functional collaboration across departments to integrate AI solutions and serv as the &ldquo;go-to&rdquo; person for AI within Omantel.
</li></ul><ul><li> Monitor performance metrics and KPIs for AI COE Team.
</li></ul><ul><li> Represent the CoE in executive forums and communicate AI strategy to senior stakeholders.
</li></ul>Required Qualifications:
<ul><li> Advanced degree (Master&rsquo;s or PhD) in Artificial Intelligence, Machine Learning, Data Science, or a related field.
</li></ul><ul><li> Minimum 10 years of experience in AI leadership roles, preferably in enterprise environments.
</li></ul><ul><li> Proven track record of leading cross-functional AI teams and delivering strategic AI initiatives.
</li></ul><ul><li> Deep technical expertise in AI/ML technologies, platforms, and methodologies.
</li></ul><ul><li> Strong understanding of AI governance, ethics, and regulatory compliance.
</li></ul><ul><li> Excellent communication, leadership, and stakeholder management skills.
</li></ul><ul><li> Experience with performance management and KPI tracking for AI functions.
</li></ul><div>About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

AI Lead

First Solution Management Services

Marketing Manager | Qorden AI LtdLocation: Dubai, UAEEmployment Type: Full-timeReports To: CEOAbout Qorden AI Ltd:Qorden AI is an innovative artificial intelligence company specializing in advanced communication and automation solutions powered by AI. We focus on creating intelligent, multilingual, and data-driven technologies that enhance how businesses connect and operate globally.Role Overview:We are seeking a creative and strategic Marketing Manager to lead our marketing and product design initiatives. The ideal candidate will connect business strategy with product development, ensuring that every campaign and design aligns with Qorden AI&rsquo;s vision and growth objectives. The role also includes leading and mentoring the marketing team to deliver impactful results across all channels.Key Responsibilities:<ul><li>Lead product evaluation, positioning, and go-to-market strategy.</li><li>Manage and guide the marketing team to achieve organizational goals and performance targets.</li><li>Collaborate with design and development teams to align business goals with product experience and branding.</li><li>Develop and execute digital and social media marketing campaigns across various platforms.</li><li>Conduct market research and competitor analysis to refine marketing strategies.</li><li>Create compelling brand stories and campaigns to drive awareness and engagement.</li><li>Manage content plans, advertising budgets, and performance metrics.</li><li>Work closely with the CEO to translate business objectives into actionable marketing plans.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Marketing, Business, or a related field. MBA is preferred.</li><li>Minimum of five years of experience in marketing, brand management, or product design, preferably within the technology or AI sector.</li><li>Proven leadership skills with the ability to manage and inspire a marketing team.</li><li>Strong understanding of digital marketing, branding, and product lifecycle management.</li><li>Excellent communication, leadership, and analytical skills.</li><li>Creative thinker with a strong sense of business and strategy alignment.</li></ul>Why Join Qorden AI:<ul><li>Be part of an award-winning AI company shaping the future of communication technology.</li><li>Work in a dynamic, fast-paced, and collaborative environment.</li><li>Competitive compensation package with opportunities for growth in the UAE&rsquo;s expanding AI industry.</li></ul>Interested candidates are invited to submit their CV and a cover letter detailing their relevant experience to rommel.manalot@qorden.ai.Job Type: Full-timePay: From AED5,000.00 per month

Marketing Manager

<div>Job Description:
The AI Lifecycle Lead is responsible for managing the end-to-end lifecycle of AI products and solutions within the CoE, from ideation through launch
and post-launch optimization. This role ensures that AI use cases are effectively evaluated, prioritized, productized, and monetized, with a strong
focus on delivering measurable business value.
The Lifecycle Lead drives structured frameworks for assessing and retiring AI use cases, supports agile delivery, and collaborates across functions to
align AI roadmaps with market needs and strategic goals. The role also leads efforts in ROI tracking and monetization strategy to ensure sustainable
value realization from AI investments.
Key Responsibilities:
<ul><li> Oversee the full lifecycle of AI products, from concept to deployment and continuous improvement.
</li></ul><ul><li> Develop and apply structured frameworks for use case evaluation, prioritization, and retirement.
</li></ul><ul><li> Drive productization of AI solutions and ensure alignment with business objectives.
</li></ul><ul><li> Collaborate cross-functionally with data science, engineering, business, and operations teams.
</li></ul><ul><li> Support agile delivery of AI initiatives and ensure timely execution.
</li></ul><ul><li> Track ROI and lead monetization strategies for AI use cases.
</li></ul><ul><li> Monitor post-launch performance and optimize AI products for sustained impact.
</li></ul>Required Qualifications:
<ul><li> Bachelor&rsquo;s or Master&rsquo;s degree in Business, Computer Science, AI, or related field.
</li></ul><ul><li> Minimum 7 years of experience in product management, AI lifecycle management, or digital transformation.
</li></ul><ul><li> Strong understanding of AI technologies and their business applications.
</li></ul><ul><li> Proven experience in agile delivery, roadmap planning, and cross-functional collaboration.
</li></ul><ul><li> Expertise in value realization, ROI tracking, and monetization strategy.
</li></ul><ul><li> Excellent analytical, communication, and stakeholder management skills.
</li></ul><ul><li> Familiarity with market analysis tools and lifecycle frameworks.
</li></ul><div>About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

Lifecycle Lead

Trilogy

Are you a product leader ready to use AI to transform how education works? We're looking for someone to lead our Education vertical and own the mission of helping students learn more effectively. This role is about driving systemic change, not just delivering incremental features.
This role is defined by owning a strategic outcome, not managing the process. You will be responsible for defining an objective for our Education vertical and be empowered to achieve it. You will personally author the master "Brain Lift" that codifies our strategy and defines the portfolio roadmap that makes all our educational products work as one. You'll lead a team of sharp Product Owners, operating as a player-coach who remains deep in the most critical work.
The standard one-size-fits-all education model fails to serve the individual student. Our approach is to build a new system from a foundation of learning science and AI to deliver truly individualized instruction. We are proving that education can be both deeply personal and highly impactful.
This role is different from a typical VP of Product position. If you prefer managing process over owning outcomes, or want to delegate core strategic work, this is not the right fit. We're looking for a leader who is deeply analytical, a clear first-principles thinker, and relentless in achieving the stated goal.
You will lead a sharp team of product owners and work directly with the founders to steer the entire vertical. The measure of your success is simple: clear, data-backed proof that your strategy measurably improved how students learn. If you're ready for a challenge of this scope and accountability, let's talk.
What You Will Be Doing
<ul>
<li>Architecting the Domain Knowledge: Own and evolve the master "Education Domain BrainLift," synthesizing team and market insights into a single, cohesive strategy that aligns the entire vertical on key product decisions.</li>
<li>Driving the Portfolio Roadmap: Translate the Domain BrainLift into an outcome-driven roadmap for the whole product portfolio. You will define the sequence of work that creates compounding value and provides the strategic "why" to direct your team's execution.</li>
<li>Player-Coach Execution: Act as a player-coach: drive your own OODA loops on critical outcomes to set the standard, while mentoring your team by reviewing their iterations and sharpening their insights for cohesive portfolio execution.</li>
</ul>
What You Won t Be Doing
<ul>
<li>Acting as a pure people manager. Your primary role is to lead the vertical's strategy and set the standard for execution, not just manage headcount, budgets, and process.</li>
<li>Executing a top-down strategy that has been handed to you. You are expected to personally author the cohesive, overarching strategy for the entire vertical, synthesizing insights from the ground up.</li>
<li>Creating static, long-term roadmaps. Your portfolio roadmap is a living document. You will steer the portfolio with agility, drawing on weekly learnings from your team's iterations and your own.</li>
<li>Overseeing a "feature factory." Your success is defined by achieving the strategic outcome for the vertical. This requires creating true cross-pollination between products, not just shipping more features in silos.</li>
</ul>
AI Product Director Key Responsibilities
Transform education through AI-powered personalized learning by leading the strategic vision, execution, and measurable outcomes of our Education vertical.

AI Product Director

dentsu

<div>
 The purpose of this role is to implement and execute SEO initiatives, in line with the agreed strategy, to maintain, develop and exceed client performance targets.
 
 
 
 Job Description:
 
 
 
 
 About The Role
 
 
 
 A Senior SEO/GEO Specialist drives end-to-end organic visibility across search engines and generative AI platforms by leading advanced keyword strategy, technical optimization, content direction, and LLM-based visibility improvements. The role involves conducting deep competitive and intent analysis, improving site architecture and E-E-A-T signals, managing GEO initiatives such as LLM persona testing, answer optimization, and prompt-based visibility enhancements, while partnering with cross-functional teams to align on business objectives. This specialist monitors performance across traditional SEO and emerging generative channels, translates insights into actionable roadmaps, and ensures consistent brand presence and recommendation across search, AI assistants, and multimodal platforms.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Drive end-to-end organic visibility across search engines and generative AI platforms.
 </li>
 <li>
 Lead advanced keyword strategy and intent-based analysis.
 </li>
 <li>
 Conduct technical SEO audits and implement site architecture improvements.
 </li>
 <li>
 Optimize content strategy, including E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.
 </li>
 <li>
 Manage GEO (Generative Engine Optimization) initiatives
 </li>
 <li>
 Monitor performance across traditional SEO and emerging generative AI channels.
 </li>
 <li>
 Translate performance insights into actionable roadmaps and strategies.
 </li>
 <li>
 Collaborate with cross-functional teams to align SEO/GEO initiatives with business objectives.
 </li>
 <li>
 Ensure consistent brand presence and recommendation across search engines, AI search engines, and multimodal platforms.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4&ndash;7 years of hands-on experience in SEO, with exposure to Generative Engine Optimization (GEO) or AI-driven search visibility.
 </li>
 <li>
 Strong expertise in keyword research, intent modeling, competitive analysis, and content optimization.
 </li>
 <li>
 Solid technical SEO knowledge, including crawling, indexing, site architecture, structured data, Core Web Vitals, and technical audits.
 </li>
 <li>
 Familiarity with generative AI platforms and concepts such as LLM persona testing, prompt optimization, and generative answer ranking.
 </li>
 <li>
 Proficiency with SEO tools such as Google Search Console, GA4, Screaming Frog, Ahrefs, SEMrush, and basic BI dashboards.
 </li>
 <li>
 Ability to analyze complex datasets and translate insights into clear, actionable SEO/GEO strategies.
 </li>
 <li>
 Strong understanding of E-E-A-T principles and how they influence organic visibility across both traditional and AI-driven search environments.
 </li>
 <li>
 Experience collaborating with product, content, engineering, data, UX, or media teams to deliver integrated organic growth initiatives.
 </li>
 <li>
 Excellent communication skills with the ability to simplify technical concepts for non-technical stakeholders.
 </li>
 <li>
 Curious, adaptable, and proactive, with a passion for emerging search behaviours, AI interfaces, and multimodal discovery.
 
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 Dubai
 
 
 
 Brand:
 
 
 
 Merkle
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 
 Contract Type:
 
 
 
 Permanent
</div>

Senior SEO Executive

RAKBANK

<div>
 
 At
 
 RAKBANK
 
 , we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank &ndash; we are a community that thrives on teamwork, cutting-edge solutions, and the highest standards of governance.
 
 
 
 Job Description
 
 
 
 
 Role Purpose:
 
 
 
 The
 
 AI Platform Owner
 
 is responsible for
 
 owning, building, scaling, and operating the enterprise AI platform
 
 for the bank. This role leads the
 
 technology side of AI enablement
 
 , ensuring that Large Language Models (LLMs), AI tools, and agentic capabilities are
 
 secure, scalable, cost-effective, and reusable
 
 across business and technology use cases.
 
 
 The role acts as the
 
 single point of accountability
 
 for the AI platform across
 
 cloud and on-prem environments
 
 , balancing
 
 rapid innovation
 
 with
 
 operational stability, governance, and regulatory compliance
 
 .
 
 
 
 Key Objectives
 
 
 <ul>
 <li>
 Establish a
 
 bank-wide AI platform
 
 that enables fast, safe, and scalable AI adoption
 </li>
 <li>
 Enable
 
 multiple AI use cases
 
 across business, operations, risk, compliance, and technology
 </li>
 <li>
 Manage
 
 AI run &amp; change
 
 with strong cost, performance, and reliability controls
 </li>
 <li>
 Continuously evolve the platform in line with
 
 fast-paced advancements in LLMs and AI tooling
 
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 
 
 1. AI Platform Ownership &amp; Strategy
 
 
 <ul>
 <li>
 Own the
 
 end-to-end AI platform roadmap
 
 , architecture, and operating model
 </li>
 <li>
 Define the
 
 AI platform vision
 
 aligned to enterprise technology and business strategy
 </li>
 <li>
 Decide
 
 build vs buy vs partner
 
 for AI tooling, models, and platforms
 </li>
 <li>
 Ensure the platform supports
 
 current and future AI paradigms
 
 (GenAI, Agentic AI, AI-augmented development, AI-Ops)
 </li>
 </ul>
 
 
 2. LLM &amp; AI Technology Management
 
 
 <ul>
 <li>
 Own lifecycle management of
 
 LLMs and SLMs
 
 (open-source and commercial)
 </li>
 <li>
 Manage:
 </li>
 <li>
 Model selection and evaluation
 </li>
 <li>
 Fine-tuning, prompt strategies, embeddings, and vector stores
 </li>
 <li>
 Inference optimization, latency, throughput, and reliability
 </li>
 <li>
 Enable
 
 multi-model and multi-provider strategy
 
 (cloud, on-prem, hybrid)
 </li>
 </ul>
 
 
 3. Platform Engineering (Cloud &amp; On-Prem)
 
 
 <ul>
 <li>
 Lead deployment and operations of AI platforms across:
 </li>
 <li>
 Public cloud
 </li>
 <li>
 Private cloud / on-prem infrastructure
 </li>
 <li>
 Ensure:
 </li>
 <li>
 High availability, resilience, and scalability
 </li>
 <li>
 Secure data handling and isolation
 </li>
 <li>
 Compliance with data residency and regulatory requirements
 </li>
 <li>
 Integrate AI platform with:
 </li>
 <li>
 Core banking and enterprise systems
 </li>
 <li>
 APIs, event platforms, data platforms, and digital channels
 </li>
 </ul>
 
 
 4. AI Use Case Enablement
 
 
 <ul>
 <li>
 Work closely with
 
 business, operations, risk, compliance, and technology teams
 
 to:
 </li>
 <li>
 Identify high-value AI use cases
 </li>
 <li>
 Prioritize and onboard use cases onto the platform
 </li>
 <li>
 Provide reusable AI services, APIs, and components
 </li>
 <li>
 Enable
 
 rapid experimentation
 
 while maintaining enterprise controls
 </li>
 <li>
 Support AI use cases across:
 </li>
 <li>
 Customer experience
 </li>
 <li>
 Operations &amp; automation
 </li>
 <li>
 Risk, compliance &amp; fraud
 </li>
 <li>
 Engineering productivity (AI-augmented development)
 </li>
 </ul>
 
 
 5. Run &amp; Change Management
 
 
 <ul>
 <li>
 Own
 
 run operations
 
 of the AI platform:
 </li>
 <li>
 Monitoring, performance, incidents, and SLAs
 </li>
 <li>
 Model drift, accuracy, and quality controls
 </li>
 <li>
 Own
 
 change delivery
 
 :
 </li>
 <li>
 Platform enhancements
 </li>
 <li>
 New model onboarding
 </li>
 <li>
 Capability upgrades
 </li>
 <li>
 Establish
 
 clear ownership, escalation, and support models
 
 </li>
 </ul>
 
 
 6. Cost Management &amp; Optimization
 
 
 <ul>
 <li>
 Manage
 
 AI platform costs
 
 across:
 </li>
 <li>
 Model usage (tokens, inference)
 </li>
 <li>
 Compute, storage, and networking
 </li>
 <li>
 Tooling and licensing
 </li>
 <li>
 Define and enforce:
 </li>
 <li>
 Cost visibility and chargeback/showback models
 </li>
 <li>
 Usage limits and optimization strategies
 </li>
 <li>
 Balance
 
 innovation speed vs cost efficiency
 
 </li>
 </ul>
 
 
 7. Governance, Risk &amp; Compliance
 
 
 <ul>
 <li>
 Embed
 
 Responsible AI
 
 principles into the platform
 </li>
 <li>
 Ensure compliance with:
 </li>
 <li>
 Model risk management
 </li>
 <li>
 Data privacy and security
 </li>
 <li>
 Regulatory and audit requirements
 </li>
 <li>
 Implement:
 </li>
 <li>
 Model explainability and auditability
 </li>
 <li>
 Logging, traceability, and controls
 </li>
 <li>
 Partner closely with
 
 Risk, Compliance, Legal, and Security teams
 
 </li>
 </ul>
 
 
 8. Vendor &amp; Ecosystem Management
 
 
 <ul>
 <li>
 Manage relationships with:
 </li>
 <li>
 Cloud providers
 </li>
 <li>
 AI vendors and open-source communities
 </li>
 <li>
 System integrators and partners
 </li>
 <li>
 Stay current with
 
 rapid AI market evolution
 
 and assess impact to the bank
 </li>
 <li>
 Continuously evaluate emerging technologies and platforms
 </li>
 </ul>
 
 
 9. Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead and grow a
 
 high-performing AI platform engineering team
 
 </li>
 <li>
 Work in close partnership with:
 </li>
 <li>
 Enterprise Architecture
 </li>
 <li>
 Platform Owners
 </li>
 <li>
 Data, Digital, Security, and Engineering teams
 </li>
 <li>
 Act as the
 
 AI technology evangelist
 
 within the organization
 </li>
 </ul>
 
 
 Leadership &amp; Delivery
 
 
 <ul>
 <li>
 Proven experience owning
 
 enterprise-scale platforms
 
 </li>
 <li>
 Strong
 
 run + change
 
 ownership mindset
 </li>
 <li>
 Ability to operate in
 
 fast-changing, ambiguous environments
 
 </li>
 <li>
 Experience managing
 
 cost, performance, and reliability at scale
 
 </li>
 </ul>
 
 
 Business &amp; Stakeholder Skills
 
 
 <ul>
 <li>
 Strong ability to translate
 
 business needs into AI platform capabilities
 
 </li>
 <li>
 Comfortable engaging with
 
 senior stakeholders
 
 across business and technology
 </li>
 <li>
 Strong communication and decision-making skills
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in
 
 banking or regulated industries
 
 </li>
 <li>
 Exposure to
 
 AI governance, model risk, and regulatory frameworks
 
 </li>
 <li>
 Experience with
 
 agentic AI or autonomous workflows
 
 </li>
 <li>
 Background in
 
 developer platforms or internal product platforms
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 Minimum Requirements:
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 10+ years in
 
 platform, cloud, or enterprise engineering roles
 
 </li>
 <li>
 Strong hands-on experience with:
 </li>
 <li>
 LLM-based platforms and AI tooling
 </li>
 <li>
 Cloud and/or on-prem AI deployments
 </li>
 <li>
 APIs, microservices, data platforms, and event-driven architectures
 </li>
 <li>
 Deep understanding of:
 </li>
 <li>
 LLM architectures, prompt engineering, embeddings, vector databases
 </li>
 <li>
 AI model lifecycle management and MLOps/LLMOps
 </li>
 </ul>
 
 
 
 
 Email detailed Cv to absai.gamariel@rakbank.ae
 
</div>

Platform Owner-AI Platform

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