ai director

Takamol Holding

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Model Development &amp; Deployment: Lead design, development, and deployment of ML models, LLMs, and RAG systems with robust pipelines
  </li>
  <li>
   Technology Leadership: Monitor emerging AI technologies, conduct strategic assessments, and drive adoption of cutting-edge AI frameworks and methodologies
  </li>
  <li>
   Business Engagement: Collaborate with business units to identify AI use cases, translate requirements into technical solutions, and present strategic recommendations to executive leadership
  </li>
  <li>
   Team Leadership: Build, lead, and mentor teams of data scientists and ML engineers while fostering innovation and continuous learning
  </li>
  <li>
   AI Governance: Enforce AI governance frameworks, ethical guidelines, and organization-wide AI literacy initiatives
  </li>
  <li>
   Strategic Planning: Develop AI roadmaps, manage project budgets, and coordinate cross-functional initiatives to drive business transformation
  </li>
  <li>
   Innovation Management: Lead proof-of-concept initiatives, establish academic partnerships, and ensure scalable AI infrastructure for production applications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education &amp; Experience: Bachelor's degree in Computer Science/Data Science/ML or relevant fields (Master's preferred) with 7-10 years progressive AI/ML experience including 3-5 years in leadership roles
  </li>
  <li>
   Technical Expertise: Deep expertise in ML algorithms, LLMs, RAG architectures, and production deployment using frameworks and cloud services (GCP stack preferred)
  </li>
  <li>
   Programming &amp; Data: Expert Python programming, strong SQL skills, experience with big data technologies (Spark, Kafka) and cloud AI platforms
  </li>
  <li>
   Leadership Experience: Proven track record building and scaling technical teams, managing P&amp;L responsibility, and translating business requirements into AI solutions
  </li>
  <li>
   Business Acumen: Strong presentation skills to communicate complex technical concepts to stakeholders, experience with AI governance and regulatory compliance
  </li>
  <li>
   Industry Knowledge: Understanding of AI ethics, bias mitigation, responsible AI practices, and enterprise AI security best practices
  </li>
  <li>
   Preferred Qualifications: Cloud certifications, active conference and event participation and track record of successful AI product launches
  </li>
 </ul>
</div>


AI Director

NSI Talent

<div>
 <p>
  <strong>
   Principal / Director &ndash; Data &amp; AI (Telco)
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  GCC
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Our client, a global consulting house, is seeking an experienced
  <strong>
   Principal / Director
  </strong>
  to lead
  <strong>
   Data &amp; AI Execution
  </strong>
  within the telecommunications sector. This role sits within the firm&rsquo;s Data &amp; Analytics practice and will focus on designing and
  <strong>
   implementing
  </strong>
  large-scale data transformation programs for leading
  <strong>
   telecom operators and digital infrastructure players
  </strong>
  across the region.
 </p>
 <p>
  The ideal candidate brings both strategy consulting expertise and hands-on experience driving execution in
  <strong>
   telco data platforms, customer analytics, network intelligence, and AI-enabled operational optimization
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end
   <strong>
    Data &amp; AI transformation
   </strong>
   programs for telecom and digital services clients&mdash;from strategy design through program execution.
  </li>
  <li>
   Advise
   <strong>
    C-level
   </strong>
   stakeholders on data platform modernization, AI adoption, customer value management, network automation, and data monetization models.
  </li>
  <li>
   Develop and operationalize
   <strong>
    data operating models
   </strong>
   , enterprise data governance frameworks, and AI deployment roadmaps tailored to telco environments.
  </li>
  <li>
   Oversee delivery teams working across
   <strong>
    customer analytics, network analytics, digital channels, marketing technologies, and cloud data platforms
   </strong>
   .
  </li>
  <li>
   Drive measurable outcomes such as
   <strong>
    revenue uplift, churn reduction, ARPU growth, network cost optimization, and improved customer experience
   </strong>
   .
  </li>
  <li>
   Lead proposal development, account expansion, and pipeline growth within key telco accounts.
  </li>
  <li>
   Collaborate with global telecom, AI, and cloud centers of excellence to bring leading practices and accelerators to client engagements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Experience
  </strong>
 </p>
 <ul>
  <li>
   Consulting experience focused on
   <strong>
    telecom sector Data &amp; AI programs
   </strong>
   (strategy + delivery).
  </li>
  <li>
   Proven ability to translate high-level strategy into
   <strong>
    execution roadmaps and implementation governance
   </strong>
   .
  </li>
  <li>
   Hands-on advisory experience across:
  </li>
  <li>
   Customer &amp; marketing analytics (CVM, churn, segmentation)
  </li>
  <li>
   Network intelligence / predictive maintenance
  </li>
  <li>
   Data platform modernization / cloud migration
  </li>
  <li>
   AI/ML model deployment and scaling in production
  </li>
  <li>
   Strong commercial acumen: proposal shaping, client relationship development, and revenue management.
  </li>
  <li>
   Demonstrated leadership managing multi-disciplinary teams and scaling delivery capability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   MBA or Master&rsquo;s degree in Business, Engineering, Computer Science, Data Science, or related field.
  </li>
  <li>
   Exceptional communication and stakeholder engagement skills, especially with senior leadership.
  </li>
 </ul>
 <p>
 </p>
</div>


Data & AI Director - TMT

Trilogy

<p>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.</p>
<p>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.</p>
<p>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.</p>
<p>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.</p>
<p>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.</p>
<p><strong>What You Will Be Doing</strong></p>
<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>
<p><strong>What You Won t Be Doing</strong></p>
<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>
<p><strong>AI Product Director Key Responsibilities</strong></p>
<p>Transform education through AI-powered personalized learning by leading the strategic vision, execution, and measurable outcomes of our Education vertical.</p>

AI Product Director

Morgan Stanley

<div><p><b>Site Reliability Engineer on AI Platform , Director
</b></p><p></p><p>We're seeking someone to join our AI Platform team as Site Reliability Engineer on AI Platform to help support, scale and harden the infrastructure that powers our AI/ML systems. You will collaborate closely with infrastructure engineering, cloud engineering, data engineering, and security teams to ensure availability, reliability, performance, and security of production AI workloads (training, inference, data pipelines) in a regulated, high-stakes financial environment. As an SRE on the AI platform, you will bring deep operations, automation, and systems engineering skills to enable our models and pipelines to run reliably at scale, while balancing cost, security, and compliance constraints.
</p><p></p><p>The ideal candidate will have strong hands-on experience supporting software platforms on any combination of the following platforms - Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product &amp; technical improvements.?
</p><p></p><p>Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.
</p><p></p><p>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a SRE on the AI platform position at Director level, which is part of Infrastructure Production Management &amp; Reliability Engineering job family that maintains the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations.
</p><p>Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
</p><p></p><p><b>What you'll do in the role:
</b></p><ul><li>Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving).
</li><li>Design and build automation for core platform capabilities, reducing manual toil
</li><li>Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc. Establish, monitor, and enforce SLOs/SLIs/SLAs, error budgets, alerting, and dashboards.
</li><li>Work on Grafana dashboards for various metrics which are being scrapped by Prometheus.
</li><li>Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation.
</li><li>Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting.
</li><li>Optimize cost vs. performance tradeoffs in large-scale compute environments.
</li><li>Harden systems for security, compliance, auditability, and data governance
</li><li>Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems.
</li><li>Define disaster recovery (DR) strategies, backup/restore practices, fault tolerance mechanisms.
</li><li>Maintain runbooks, operational playbooks, documentation, and training materials.
</li><li>Participate in on-call rotations and respond to production incidents 24/7 as needed.
</li><li>Continuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability.
</li></ul><p></p><p><b>What you'll bring to the role:
</b></p><ul><li>At least 6+ years&rsquo; relevant experience would generally be expected to find the skills required for this role.
</li><li>Production experience in SRE / Infrastructure / ops for large-scale systems
</li><li>Strong programming/scripting skills (Python, Go, Java, or equivalent)
</li><li>Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
</li><li>Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, PagerDuty, etc.)
</li></ul><p></p><p>Nice to have
</p><ul><li>Understanding of SRE techniques.
</li></ul><ul><li>Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
</li><li>Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
</li><li>Networking &amp; systems engineering knowledge (TCP/IP, DNS, routing, load balancing, distributed storage)
</li><li>Solid experience in capacity planning, performance tuning, scaling, and incident response
</li><li>Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements
</li><li>Experience in regulated environments (financial services, compliance, audit, security) is a strong plus
</li><li>Excellent communication, documentation, and cross-team collaboration skills
</li><li>Proven track record of reducing operational toil via automation
</li><li>Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
</li><li>Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
</li><li>Knowledge of data pipeline technologies (Kafka, Spark, Flink, etc.)
</li><li>Good knowledge of various DB engines (SQL, Redis, Kafka, Snowflake, etc) for cloud app storage.
</li><li>Experience working with Generative AI development, embeddings, fine tuning of Generative AI models
</li><li>Experience in high-performance computing (HPC), distributed GPU cluster scheduling (e.g. Slurm, Kubernetes GPU scheduling)
</li><li>Understanding of ModelOps/ ML Ops/ LLM Op.
</li><li>Experience with chaos engineering, canary deployments, blue/green rollouts
</li></ul><p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
</p><p></p><p>Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</p></div><p></p>

Site Reliability Engineer on AI Platform, Director

Artefact

<div>
 <p>
  <strong>
   Consulting Director Data &amp; AI (Saudi Arabia and Qatar)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Artefact
  </strong>
 </p>
 <p>
  Artefact is a global Data &amp; AI consulting partner, transforming organisations into data-driven leaders. With over 1,500 specialists across 20+ markets, we combine strategy consulting, digital marketing, and advanced AI innovation to deliver tangible business impact.
 </p>
 <p>
  In the Middle East, we partner with leading public and private sector institutions to design and execute data-powered transformation programs.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Consulting Director Role:
  </strong>
 </p>
 <ul>
  <li>
   As a Consulting Director, you will lead strategic data and AI transformation programs for high-impact clients across government and public sector institutions, as well as the telecom, financial services, retail, and energy industries.
  </li>
  <li>
   You will be responsible for driving client success, managing large-scale engagements, developing our regional footprint, and leading multidisciplinary teams to deliver business value through the intelligent use of data and AI.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Consulting Director Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end Data &amp; AI strategy engagements, from opportunity sizing to roadmap design and value realisation.
  </li>
  <li>
   Build and manage senior-level relationships with Ministers, CXOs, and senior government leaders, acting as a trusted advisor on digital and AI transformation.
  </li>
  <li>
   Deliver high-quality outputs across data governance, cloud platforms, AI/ML industrialisation, and GenAI adoption.
  </li>
  <li>
   Manage large, cross-functional teams (consultants, data scientists, data engineers, media experts, and creatives) to ensure impactful delivery.
  </li>
  <li>
   Identify, develop, and convert new business opportunities within the public and private sectors in KSA and Qatar.
  </li>
  <li>
   Lead commercial proposal development, client pitches, and contract negotiations.
  </li>
  <li>
   Support Artefact&rsquo;s regional growth through thought leadership, events, and executive networking.
  </li>
  <li>
   Coach, mentor, and develop consulting talent across the Middle East, fostering a culture of excellence and collaboration.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Consulting Director Required Experience:
  </strong>
 </p>
 <ul>
  <li>
   Native Arabic speaker (mandatory).
  </li>
  <li>
   7&ndash;8 years of experience in top-tier strategy consulting (e.g., McKinsey, BCG, Bain, Oliver Wyman, Strategy&amp;, Kearney).
  </li>
  <li>
   Experience with the public sector is a must, ideally within government transformation, national digital or data programs.
  </li>
  <li>
   Proven track record in leading large-scale data, AI, or digital transformation engagements in the Middle East.
  </li>
  <li>
   Strong understanding of GCC industries, particularly government, telecom, financial services, and retail.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Artefact?
  </strong>
 </p>
 <ul>
  <li>
   Lead national-scale AI transformation programs in high-growth markets.
  </li>
  <li>
   Collaborate with world-class experts across data, technology, and strategy.
  </li>
  <li>
   Be part of an entrepreneurial, fast-growing team that values innovation and impact.
  </li>
  <li>
   Benefit from accelerated career progression and regional leadership opportunities.
  </li>
 </ul>
</div>


Consulting Director

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Director - AI/ML Solutions &amp; Architecture
</div></div></div></div><div><div><div><div>Req Id: 102402
</div></div></div></div><div><div><div><div>City: Bengaluru
</div></div></div></div><div><div><div><div>State/Province: Karnataka
</div></div></div></div><div><div><div><div>Posting Start Date: 10/16/25
</div></div></div></div><div><div><div><div><p>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</p></div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Role Overview:
</b></h2></div><div><p>The Director of AI/ML Solutions &amp; Architecture will provide strategic and technical leadership to shape, build, and scale enterprise AI capabilities. This role requires a visionary leader who can bridge business objectives with advanced AI/ML technologies, guide architecture decisions, and drive innovation across multiple programs and teams. The Director will play a key role in defining the AI roadmap, nurturing talent, and ensuring delivery excellence across AI initiatives.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:&#847;
</b></h2></div><div><p>Strategic Leadership
</p><ul><li>Define and drive the AI/ML strategy aligned with organizational goals and business outcomes.
</li></ul><ul><li>Evangelize the adoption of Generative AI, LLMs, Deep Learning, and emerging AI technologies across business units.
</li></ul><ul><li>Partner with executive leadership, product teams, and customers to identify high-impact AI opportunities.
</li></ul><ul><li>Build and lead a multi-disciplinary AI team spanning architecture, data science, MLOps, and engineering.
</li></ul><p>Architectural &amp; Technical Excellence
</p><ul><li>Oversee design and implementation of scalable AI systems leveraging LLMs/SLMs, RAG, Graph RAG, and vector databases. (AI Software Engineering)
</li></ul><ul><li>Set architecture standards, governance frameworks, and best practices for AI model deployment and lifecycle management.
</li></ul><ul><li>Guide the development of cloud-native, distributed AI solutions on platforms such as AWS, Azure, or GCP.
</li></ul><ul><li>Ensure solutions are secure, cost-effective, and production-ready with strong observability and performance benchmarks.
</li></ul><p>Operational Excellence &amp; Delivery
</p><ul><li>Lead the end-to-end delivery of complex AI/ML initiatives &mdash; from ideation to deployment and continuous optimization.
</li></ul><ul><li>Collaborate with product, engineering, and data teams to translate AI research into practical, scalable solutions.
</li></ul><ul><li>Establish metrics and success criteria for AI project outcomes, driving measurable value for clients and business units.
</li></ul><ul><li>Oversee code quality, documentation, and compliance across all AI/ML projects.
</li></ul><p>People Leadership
</p><ul><li>Mentor and upskill AI architects, data scientists, and engineers to build deep expertise across teams.
</li></ul><ul><li>Foster a culture of innovation, experimentation, and continuous learning.
</li></ul><ul><li>Represent the AI/ML practice in executive forums, industry events, and strategic customer engagements.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience:&#847;<br>
</b></h2></div><p></p><div><ul><li>12+ years in AI/ML, Data Science, or Applied Research, with at least 4&ndash;5 years in leadership or architecture roles.
</li></ul><ul><li>Proven experience leading enterprise-scale AI initiatives involving Generative AI, LLMs, or Deep Learning systems.
</li></ul><ul><li>Strong expertise in Python, TensorFlow, PyTorch, and MLOps pipelines; familiarity with LangChain and vector databases is a plus.
</li></ul><ul><li>Hands-on understanding of data engineering, cloud platforms, and distributed systems.
</li></ul><ul><li>Demonstrated ability to translate business needs into scalable AI architectures and tangible outcomes.
</li></ul><ul><li>Excellent communication, stakeholder management, and team leadership skills.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div><p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions.
</p><p>Applications from people with disabilities are explicitly welcome.</p></div></div></div></div></div><p></p>

Director - AI/ML Solutions & Architecture

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