planning engineer

safety engineer

electrical engineer

fleet officer

civil engineer

ai engineering officer

Takamol Holding

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, test, and deploy machine learning models and AI services to support various business initiatives.
  </li>
  <li>
   Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions into existing systems.
  </li>
  <li>
   Optimize AI models for accuracy, scalability, and efficiency.
  </li>
  <li>
   Integrate relevant AI SaaS-based services with existing or new products such as generative AI, vector databases and RAG solutions.
  </li>
  <li>
   Stay updated with the latest AI research and technologies to recommend innovative solutions.
  </li>
  <li>
   Assist in the quality control, deployment and monitoring of AI services in production environments.
  </li>
  <li>
   Ensure compliance with data privacy, security, and ethical standards related to AI.
  </li>
  <li>
   Document AI assets, workflows, and technical specifications.
  </li>
  <li>
   Support AI-related research and development projects.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
  </li>
  <li>
   Strong programming skills in Python, R, or similar languages.
  </li>
  <li>
   Experience with ML frameworks and AI cloud services such as Vertex AI and others.
  </li>
  <li>
   Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  </li>
  <li>
   Familiarity with cloud platforms (Azure, AWS, GCP) for AI deployment is preferred.
  </li>
  <li>
   Understanding of deep learning, NLP, computer vision, or other AI subfields is a plus.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
   <br/>
   <br/>
  </li>
 </ul>
</div>


AI Engineering Officer

Alpha Leadership Co.

<div>
 <p>
  <strong>
   Role Summary:
  </strong>
 </p>
 <p>
  The Chief Technology Officer (CTO) will be the strategic and executional lead for a full-scale digital transformation within a government services organization. The role is designed to modernize internal operations, reduce manual workloads, and integrate emerging technologies to improve service delivery. By leveraging AI, data analytics, and IoT/OT integration, the CTO will support the development of faster, cost-effective, and citizen-centric public services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This high-impact, forward-thinking role carries the mandate to deliver state-of-the-art products, an adept service model and execute technology-driven innovation at scale. The objective is to significantly enhance the end-user experience through digital-first initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Strategy &amp; Leadership:
  </strong>
 </p>
 <p>
  &bull;Develop and execute technology strategy aligned with corporate vision and objectives.
 </p>
 <p>
  &bull;Contribute to short- and long-term strategic planning, ensuring alignment with Board directives.
 </p>
 <p>
  &bull;Build partnerships with stakeholders, vendors, and institutions to advance innovation.
 </p>
 <p>
  &bull;Provide regular reports and insights to the CEO and Board, recommending improvements and addressing challenges.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Financial &amp; Operational Management:
  </strong>
 </p>
 <p>
  &bull;Oversee annual budgeting and financial performance of the Technology Division.
 </p>
 <p>
  &bull;Drive operational excellence by improving systems, processes, and practices.
 </p>
 <p>
  &bull;Ensure compliance with risk, audit, cybersecurity, and regulatory standards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technology &amp; Innovation:
  </strong>
 </p>
 <p>
  &bull;Lead digital transformation initiatives to improve efficiency, agility, and customer experience.
 </p>
 <p>
  &bull; Oversee ERP systems implementation and integration for streamlined operations.
 </p>
 <p>
  &bull;Conduct technology and market assessments to identify emerging opportunities.
 </p>
 <p>
  &bull;Implement robust cybersecurity measures and manage IT infrastructure for scalability, reliability, and data protection.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   People &amp; Culture:
  </strong>
 </p>
 <p>
  &bull;Lead and mentor the technology team, fostering collaboration, innovation, and continuous learning.
 </p>
 <p>
  &bull;Oversee talent management activities (performance reviews, training, development).
 </p>
 <p>
  &bull;Promote a culture of innovation and excellence within the division.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Partnerships &amp; Project Delivery:
  </strong>
 </p>
 <p>
  &bull;Manage technology projects end-to-end, ensuring timely, on-budget delivery.
 </p>
 <p>
  &bull;Establish partnerships with vendors, consultants, and cybersecurity agencies to strengthen capabilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  &bull;Experience: 15-20 years in technology with at least the recent 6 years in senior tech leadership position(s).
 </p>
 <p>
  &bull;Education: Bachelor&rsquo;s in Computer Science, IT, Engineering, or related field. MBA or Master&rsquo;s in Technology Management preferred.
 </p>
 <p>
 </p>
</div>


Chief Technology Officer

Capgemini

<div><div><div><p>RIYADH</p><div>
Industrial Data &amp; AI Technical Lead</div><p>
</p></div></div><div></div><div><div><div><div><div><div><div><div><div>Key Responsibilities</div></div><div><p>
Define and lead the <b>AI strategy</b>, ensuring alignment with Capgemini&rsquo;s global vision and client priorities.</p><p>
Architect and oversee the design, training, and deployment of advanced AI/ML models across multiple domains (Industrial AI, NLP, Computer Vision, Generative AI, Predictive Analytics).</p><p>
Work with <b>cross-functional engineering, data, and product teams</b> to embed AI into digital engineering solutions, platforms, and services.</p><p>
Engage directly with clients, translating business challenges into AI-driven solutions that deliver tangible outcomes.</p><p>
Lead a team of AI engineers, data scientists, and researchers; mentor talent and foster a culture of experimentation, innovation, and delivery excellence.</p><p>
Ensure <b>ethical AI practices</b>, data governance, and compliance with relevant standards and regulations.</p><p>
Stay ahead of AI trends, emerging technologies, and research advancements to shape Capgemini&rsquo;s offerings and thought leadership.</p></div></div><div><div><div>
Your Profile</div></div><div><p>
10+ years of experience in data science / AI / machine learning, with at least 3&ndash;5 years in a leadership or architect role.</p><p>
Proven track record of designing and deploying <b>AI solutions at scale</b> (industrial, enterprise, or consumer).</p><p>
Strong knowledge of AI/ML techniques (deep learning, reinforcement learning, generative AI, NLP, computer vision, anomaly detection, time-series forecasting).</p><p>
Experience with leading AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud AI platforms (AWS, Azure, GCP).</p><p>
Ability to engage with <b>business stakeholders and C-level executives</b> in a consultative, value-focused manner.</p><p>
Strong leadership and mentoring skills, with experience managing technical teams.</p><p>
Degree in Computer Science, Data Science, Engineering, or related field; advanced degree (MSc/PhD) a plus.</p></div></div><div><div><div>
What You&rsquo;ll Love About Working Here</div></div><div><p>
Shape the <b>AI strategy of global industry leaders</b>, delivering impact at scale.</p><p>
Be part of a <b>world-class engineering organization</b>, working on some of the most challenging AI problems in energy, manufacturing, automotive, life sciences, and beyond.</p><p>
Access to global <b>AI research and innovation networks</b>, with opportunities for continuous learning and certifications.</p><p>
A supportive, diverse, and inclusive culture where innovation thrives</p></div></div></div></div></div><div><div><div>
<div><div>Ref. code</div><div>
332572-en_US</div></div><div><div>
Posted on</div><div>
27 Nov 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Industrial Data & AI Technical Lead

Confidential

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  HSE Officer &ndash; Fresh Graduate (Saudi)
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Multiple Locations, Saudi Arabia
 </p>
 <p>
  <strong>
   Company:
  </strong>
  Confidential
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  We are looking for a motivated and enthusiastic
  <strong>
   Saudi Fresh Graduate
  </strong>
  to join our Health, Safety, and Environment (HSE) team. The
  <strong>
   HSE Officer (Fresh Graduate)
  </strong>
  will support site operations by promoting a safe work environment and assisting in the implementation of HSE policies and procedures. This is an excellent opportunity for recent graduates to gain hands-on experience in construction safety management and develop their professional careers in a dynamic and growth-oriented organization.
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Assist in implementing the company&rsquo;s
   <strong>
    HSE policies, procedures, and standards
   </strong>
   across project sites.
  </li>
  <li>
   Support daily
   <strong>
    safety inspections, audits, and risk assessments
   </strong>
   under supervision.
  </li>
  <li>
   Participate in
   <strong>
    toolbox talks, safety briefings, and training sessions
   </strong>
   .
  </li>
  <li>
   Help prepare and maintain
   <strong>
    incident reports, safety logs, and inspection checklists
   </strong>
   .
  </li>
  <li>
   Promote safe working practices and contribute to continuous HSE improvement initiatives.
  </li>
  <li>
   Collaborate with site teams to identify and correct unsafe conditions or behaviors.
  </li>
  <li>
   Ensure compliance with Saudi labor law and environmental regulations.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree or diploma in
   <strong>
    Occupational Health &amp; Safety, Environmental Engineering, or related field
   </strong>
   .
  </li>
  <li>
   <strong>
    Saudi (Fresh Graduate)
   </strong>
   .
  </li>
  <li>
   Passion for safety, teamwork, and continuous learning.
  </li>
  <li>
   Basic understanding of safety concepts, regulations, and construction practices.
  </li>
  <li>
   Good communication skills in Arabic and English.
  </li>
  <li>
   Computer literacy (Microsoft Office Suite).
  </li>
 </ul>
</div>


Health Safety Environment Officer/HSE

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:</b></h2>
Qualcomm Middle East Information Technology Company LLC<p></p><h2 class="jobSectionHeader"><b>
Job Area:</b></h2>
Engineering Group, Engineering Group &gt; Software Engineering<p></p><p><b>
General Summary:</b></p><p></p><p><b>
About Us</b></p><p>
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.</p><p></p><p><b>
About the Role</b></p><p>
We are recruiting for a Site Reliability Engineer &ndash; Datacentre AI Engineering at Qualcomm Technologies, Inc., located in Riyadh, Saudi Arabia. This role centres on designing, maintaining, and scaling large-scale AI inference systems in a datacentre environment. You will support critical AI use cases, ensuring that Qualcomm&rsquo;s infrastructure is robust, reliable, and scalable for advanced machine learning workloads.</p><p></p><p><b>
Key Responsibilities will include</b></p><p></p><p><b>
AI Infrastructure</b></p><ul><li>
Design and maintain large-scale AI Inference systems supporting critical AI use cases.</li><li>
Ensure reliability, operability, and scalability of the Qualcomm data-centre cluster</li><li>
Build software tools and ecosystems around AI software stacks.</li></ul><p></p><p><b>
AI &amp; ML Engineering</b></p><ul><li>
Analyse software requirements and consult with architecture and hardware engineers.</li><li>
Hands-on experience in building Agentic AI solutions, LLM orchestration and agentic AI libraries.</li><li>
Collaborate with model, systems &amp; software teams to improve model performance on AI100 deployments</li><li>
Identify features that optimize workloads for multi-SoC and multi-card systems</li></ul><p></p><p><b>
Site Reliability Engineering (SRE)</b></p><p></p><ul><li>
Implement SRE fundamentals: incident management, monitoring, performance optimization</li><li>
Hands-on experience with MLOps tools and practices, ensuring seamless integration of ML models into production</li><li>
Establish operational maturity frameworks and sustainable incident response protocols.</li></ul><p></p><p><b>
Observability &amp; Tooling</b></p><p></p><ul><li>
Build tools and frameworks to improve observability and define reliability metrics.</li><li>
Monitor system health using Prometheus, Grafana, Cloudwatch, and custom telemetry.</li><li>
Create and maintain documentation and knowledge base articles.</li></ul><p></p><p><b>
Automation &amp; CI/CD</b></p><ul><li>
Design automation tools to reduce manual processes and operational overhead.</li><li>
Ensure CI/CD reliability for agent deployment cycles.</li><li>
Apply Infrastructure as Code practices using tools like Terraform CDK.</li></ul><p></p><p><b>
Required Skillset includes:</b></p><p></p><p><b>
AI &amp; Deep Learning</b></p><ul><li>
Experience with LLMs, NLP, Vision, Audio, and Recommendation systems.</li><li>
Proficiency with LLM inference concepts: token streaming, batching, KV cache.</li><li>
Proficiency in PyTorch, TensorFlow, JAX, and Ray.</li><li>
Familiar with GPU / TPU compute, ML frameworks, checkpointing and distributed inferencing</li></ul><p></p><p><b>
AI Agent Operations</b></p><ul><li>
Experience supporting GenAI or agentic AI applications in production.</li><li>
Familiarity with LLM orchestration, prompt reliability, and RAG systems.</li><li>
Exposure to LangChain, AutoGen, and similar agent orchestration frameworks.</li></ul><p></p><p><b>
Programming &amp; Software Design</b></p><ul><li>
Strong programming skills in Python with experience in PyTorch</li><li>
Scripting (Python, Bash), configuration management (Ansible/Terraform), orchestration</li></ul><p></p><p><b>
Systems &amp; Infrastructure</b></p><ul><li>
Strong Linux fundamentals: shell, systemd, containers, networking (TLS, DNS, HTTP/2, gRPC).</li><li>
Expertise in Slurm (configuration, scheduling, plugins/extensions) or equivalent</li><li>
Good knowledge of networking (RDMA, InfiniBand, RoCE, high-throughput, low-latency networks)</li><li>
Experience operating and scaling distributed systems with high availability.</li></ul><p></p><p><b>
Observability &amp; Monitoring</b></p><ul><li>
Hands-on experience with Prometheus, Grafana, ELK, Loki, Datadog, SIP, Homer.</li><li>
Exposure to hardware health monitoring and system reliability.</li></ul><p></p><p><b>
DevOps &amp; SRE Practices</b></p><ul><li>
Deep understanding of SDLC, release management, and system reliability.</li><li>
Familiarity with CI/CD pipelines (Jenkins, GitLab) and Infrastructure as Code (Terraform CDK).</li></ul><p></p><p><b>
Qualifications &amp; Experience:</b></p><ul><li>
Bachelor's / Masters degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.</li><li>
4-5 years&rsquo; of Software Engineering or related work experience.</li></ul><p></p><p><b>
What's on Offer</b></p><p>
Apart from working with great people, we offer the below:</p><ul><li>
Salary including housing &amp; transport allowance</li><li>
Stock (RSU's) and performance related bonus</li><li>
16 weeks fully paid Maternity Leave</li><li>
6 weeks fully paid Paternity Leave</li><li>
Employee stock purchase scheme</li><li>
Child Education Allowance</li><li>
Relocation and immigration support (if needed)</li><li>
Life and Medical Insurance</li><li>
Live+ Well Reimbursement for health and recreational membership fees</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
</li></ul>OR<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.<br>
OR<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.<br>
<br>
<ul><li>2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.</li></ul><p></p><ul><li>References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.</li></ul><p></p><div><p>
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).</p></div><p></p><p>
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.</p><p></p><p><b>
To all Staffing and Recruiting Agencies</b>: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.</p><p></p><p>
If you would like more information about this role, please contact Qualcomm Careers.</p></div>

Site Reliability Engineer – Datacentre AI Engineering - Riyadh, KSA

Lucidya | لوسيديا

<div>
 Lucidya is a leading AI company in the region, building intelligent solutions that power the next generation of customer experience. As we expand into a new AI-focused business line, we are searching for a visionary AI Team Lead / AI Technical Manager to spearhead the development of our next flagship product: a fully scalable AI Agent platform built from the ground up.
 <br/>
 <br/>
 This is a rare opportunity for a builder - someone who thrives in zero-to-one environments, loves ambiguity, and wants to create something meaningful that will shape the future of AI-driven customer service in the Middle East.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 As the AI Team Lead / AI Technical Manager, you will drive the vision, architecture, and execution of our AI Agent initiatives while mentoring a talented team of engineers.
 <br/>
 <br/>
 You'll play a pivotal role in shaping an entirely new line of business, working closely with senior leadership - including the CEO, CTO, and General Manager - to turn innovative concepts into scalable, revenue-generating AI solutions.
 <br/>
 <br/>
 If you enjoy starting from scratch, making sense of ambiguity, and turning ideas into high-impact products, this role is for you.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Own the Vision &amp; Delivery
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the design, development, and deployment of a brand-new AI Agent platform with a strong focus on customer service use cases
  </li>
  <li>
   Build a product that can scale to multiple enterprise clients, meeting aggressive growth metrics (targeting :$1M ARR by year-end)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Lead &amp; Grow a High-Performing AI Team
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Manage and mentor a team of AI/ML engineers (starting with 3 and growing)
  </li>
  <li>
   Establish strong engineering practices, structure workflows, and remove blockers to keep momentum high
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Drive Strategy &amp; Stakeholder Alignment
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work directly with the GM of the business unit and the Head of AI to align on priorities and deliverables
  </li>
  <li>
   Communicate complex AI concepts clearly to non-technical stakeholders and executive leadership
  </li>
  <li>
   Push back when needed and influence decisions through data, clarity, and strategic thinking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bring Order to Ambiguity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Thrive in a fast-moving, fragmented early-stage environment by creating structure, processes, and reliable rhythms of execution
  </li>
  <li>
   Help define how the team collaborates, plans, and delivers high-quality releases
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 Within your first 90-120 days, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Develop a clear scaling plan for our AI Agents
  </li>
  <li>
   Deliver solutions that solve immediate business needs while laying a strong foundation for future expansion
  </li>
  <li>
   Establish operating rhythms, processes, and collaboration models across engineering, product, and leadership
  </li>
  <li>
   Gain a strong understanding of the local business environment and adapt effectively to regional culture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <strong>
  Non-Negotiables
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Outstanding communication skills - able to simplify complex concepts effortlessly
  </li>
  <li>
   Proven ability to thrive in fast-paced, ambiguous environments
  </li>
  <li>
   Calm under pressure, with a proactive, problem-solving mindset
  </li>
  <li>
   Strong stakeholder management; confident guiding and influencing senior leaders
  </li>
  <li>
   Hands-on experience building AI Agents and understanding their technical realities (strengths, pitfalls, constraints)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Experience &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years in AI/ML engineering, with at least 2 years leading teams
  </li>
  <li>
   Strong practical experience designing, training, deploying, and evaluating LLM-based systems
  </li>
  <li>
   Expertise in Python and modern ML frameworks (TensorFlow, PyTorch)
  </li>
  <li>
   Familiarity with MLOps pipelines, LLM evaluation, and production AI systems
  </li>
  <li>
   Experience with AWS, GCP, or similar cloud environments
  </li>
  <li>
   SaaS experience (especially customer service AI) is highly preferred
  </li>
  <li>
   Bachelor's or Master's degree in Computer Science, AI, ML, or related fields, though exceptional hands-on experience is more important
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional leadership and mentoring capabilities
  </li>
  <li>
   Strategic thinker with strong analytical and problem-solving skills
  </li>
  <li>
   Comfortable providing clarity, direction, and momentum in uncertain environments
  </li>
  <li>
   Excellent cross-functional collaboration skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 This is more than just an engineering role - it's an opportunity to
 <strong>
  shape the technical future of Lucidya and its Customers
 </strong>
 . You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 <br/>
 <br/>
 We offer
 <strong>
  Employee Stock Option Plans (ESOP)
 </strong>
 to give you ownership in the company's success, along with
 <strong>
  performance-based bonuses
 </strong>
 to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow - both personally and professionally.
</div>


AI Team Lead / AI Technical Manager

Lucidya

<div><p>Lucidya is a leading AI company in the region, building intelligent solutions that power the next generation of customer experience. As we expand into a new AI-focused business line, we are searching for a visionary AI Team Lead / AI Technical Manager to spearhead the development of our next flagship product: a fully scalable AI Agent platform built from the ground up.</p><p>
This is a rare opportunity for a builder - someone who thrives in zero-to-one environments, loves ambiguity, and wants to create something meaningful that will shape the future of AI-driven customer service in the Middle East.</p><p><b>
Role Overview</b></p><p>
As the AI Team Lead / AI Technical Manager, you will drive the vision, architecture, and execution of our AI Agent initiatives while mentoring a talented team of engineers.</p><p>
You&rsquo;ll play a pivotal role in shaping an entirely new line of business, working closely with senior leadership - including the CEO, CTO, and General Manager - to turn innovative concepts into scalable, revenue-generating AI solutions.</p><p>
If you enjoy starting from scratch, making sense of ambiguity, and turning ideas into high-impact products, this role is for you.</p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h3><p><b>
Own the Vision &amp; Delivery</b></p><ul>
<li>
Lead the design, development, and deployment of a brand-new AI Agent platform with a strong focus on customer service use cases.</li>
<li>Build a product that can scale to multiple enterprise clients, meeting aggressive growth metrics (targeting ~$1M ARR by year-end).</li>
</ul><p><b>
Lead &amp; Grow a High-Performing AI Team</b></p><ul>
<li>
Manage and mentor a team of AI/ML engineers (starting with 3 and growing).</li>
<li>Establish strong engineering practices, structure workflows, and remove blockers to keep momentum high.</li>
</ul><p><b>
Drive Strategy &amp; Stakeholder Alignment</b></p><ul>
<li>
Work directly with the GM of the business unit and the Head of AI to align on priorities and deliverables.</li>
<li>Communicate complex AI concepts clearly to non-technical stakeholders and executive leadership.</li>
<li>Push back when needed and influence decisions through data, clarity, and strategic thinking.</li>
</ul><p><b>
Bring Order to Ambiguity</b></p><ul>
<li>
Thrive in a fast-moving, fragmented early-stage environment by creating structure, processes, and reliable rhythms of execution.</li>
<li>Help define how the team collaborates, plans, and delivers high-quality releases.</li>
</ul><h3 class="jobSectionHeader"><b>What Success Looks Like</b></h3><p>
Within your first 90-120 days, you will:</p><ul>
<li>
Develop a clear scaling plan for our AI Agents.</li>
<li>Deliver solutions that solve immediate business needs while laying a strong foundation for future expansion.</li>
<li>Establish operating rhythms, processes, and collaboration models across engineering, product, and leadership.</li>
<li>Gain a strong understanding of the local business environment and adapt effectively to regional culture.</li>
</ul><h3 class="jobSectionHeader"><b>What We&rsquo;re Looking For</b></h3><p><b>
Non-Negotiables</b></p><ul>
<li>
Outstanding communication skills - able to simplify complex concepts effortlessly.</li>
<li>Proven ability to thrive in fast-paced, ambiguous environments.</li>
<li>Calm under pressure, with a proactive, problem-solving mindset.</li>
<li>Strong stakeholder management; confident guiding and influencing senior leaders.</li>
Hands-on experience building AI Agents and understanding their technical realities (strengths, pitfalls, constraints).<br>
<li>
</li></ul><p><b>
Requirements</b></p><p><b>
Experience &amp; Qualifications</b></p><ul>
<li>
5+ years in AI/ML engineering, with at least 2 years leading teams.</li>
<li>Strong practical experience designing, training, deploying, and evaluating LLM-based systems.</li>
<li>Expertise in Python and modern ML frameworks (TensorFlow, PyTorch).</li>
<li>Familiarity with MLOps pipelines, LLM evaluation, and production AI systems.</li>
<li>Experience with AWS, GCP, or similar cloud environments.</li>
<li>SaaS experience (especially customer service AI) is highly preferred.</li>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, ML, or related fields, though exceptional hands-on experience is more important.</li>
</ul><p><b>
Soft Skills</b></p><ul>
<li>
Exceptional leadership and mentoring capabilities.</li>
<li>Strategic thinker with strong analytical and problem-solving skills.</li>
<li>Comfortable providing clarity, direction, and momentum in uncertain environments.</li>
<li>Excellent cross-functional collaboration skills.</li>
</ul><p><b>
Benefits</b></p><p><b>
Why Join Us?</b></p><p>
This is more than just an engineering role - it&rsquo;s an opportunity to <b>shape the technical future of Lucidya and its Customers</b>. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.</p><p>
We offer <b>Employee Stock Option Plans (ESOP)</b> to give you ownership in the company&rsquo;s success, along with <b>performance-based bonuses</b> to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow - both personally and professionally.</p></div>

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