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director - design governance - cdu-015

engineering design manager

Mozn

<div>About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
About the role
We are seeking a high-performance Engineering Manager to lead a dedicated team of Engineers building and scaling Focal, with a strong focus on innovation, reliability, and delivering impactful solutions for our customers.
What you'll do
As a Software Engineering Manager, your daily workload might include:<ul><li>
Manage and mentor a team of engineers to design, develop and maintain product features.</li><li>
Ensure the code and design quality are against the industry&rsquo;s best practices and highest standards.</li><li>
Coach and mentor team members on high-level design, architecture, effort sizing, and testing practices.</li><li>
Give engineers feedback on their day-to-day job performance.</li><li>
Steer the engineers&rsquo; individual learning and development plans.</li><li>
Initiate hiring and the allocation of any resources needed to support the team.</li><li>
Removing impediments or guiding the team to remove impediments.</li><li>
Oversee the implementation of the software development process.</li></ul>
Qualifications
Our target profile is candidates with...<ul><li>
BS/MS from a top school in Computer Science or any related field.
</li><li>10 years of software engineering experience, preferably in SaaS or large-scale distributed applications.</li><li>
Previous team leadership experience.</li><li>
Solid communication skills and the ability to convey technical solutions to the end-user and the engineering team. 
Ability to briefly explain sophisticated issues in systems and processes.</li><li>
Solid experience of multiple programming languages with a demonstrated drive to learn and progress in the technical skill and nuanced art of development.
</li><li>Proficient understanding of system design and distributed computing principles. 
Experience with SQL and NoSQL databases, such as HBase, Cassandra, and MongoDB.</li><li>
Solid understanding of the Scrum agile framework and other software development processes.</li></ul>
Benefits<ul><li>
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.</li><li>
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.</li><li>
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best</li><li>
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.</li><li>
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.</li></ul></div>

Engineering Manager

Freyssinet Saudi Arabia

MEP Project Manager Company: Freyssinet Saudi Arabia Location: Riyadh, Saudi Arabia Employment Type: Full-Time Job Overview Freyssinet Saudi Arabia (FSA), a leading general contractor established in 1978, is seeking an experienced and highly skilled MEP Project Manager to join our dynamic team in Riyadh. Since our inception, FSA has successfully delivered numerous turnkey projects across Saudi Arabia, transitioning from a specialist in pre-stressed concrete to a renowned contractor for major civil works, including building complexes, hospitals, industrial projects, and commercial centres. The successful candidate will be responsible for planning, executing, and finalising all Mechanical, Electrical, and Plumbing (MEP) aspects of our large-scale construction projects, ensuring they are completed on time, within budget, and to the highest standards of quality and safety. Responsibilities  <ul><li>Lead and manage all MEP-related activities throughout the project lifecycle, from design and procurement to installation, testing, and commissioning.</li><li>Develop detailed project plans, schedules, and budgets for all MEP works, ensuring alignment with overall project objectives.</li><li>Coordinate effectively with clients, consultants, subcontractors, and internal engineering and construction teams to ensure seamless project integration.</li><li>Oversee the preparation and review of MEP technical submittals, drawings, and specifications to ensure compliance with project requirements and industry standards.</li><li>Manage MEP project resources, including labour, materials, and equipment, to optimise efficiency and control costs.</li><li>Conduct regular site inspections to monitor progress, ensure adherence to quality standards, and enforce strict health and safety regulations.</li><li>Identify, analyse, and resolve technical issues, providing expert guidance and innovative solutions to the project team.</li><li>Prepare and present regular progress reports on MEP activities, highlighting key milestones, risks, and financial performance.</li></ul>Qualifications  <ul><li>Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related field.</li><li>Proven track record of success as a Project Manager, with extensive experience managing MEP systems for large-scale building or civil infrastructure projects.</li><li>In-depth technical knowledge of HVAC, plumbing, drainage, fire-fighting, and electrical systems.</li><li>Strong understanding of relevant building codes, technical standards, and regulations within Saudi Arabia.</li><li>Excellent leadership, communication, and interpersonal skills, with the ability to manage and motivate diverse teams.</li><li>Proficient in project management software (e.g., Primavera P6, MS Project) and standard office applications.</li><li>A proactive and solutions-oriented approach to problem-solving.</li><li>Fluency in English is essential; proficiency in Arabic is highly advantageous.</li></ul>

MEP- Project Manager

Deloitte

<div>
 
 EAI&amp;D &ndash; AI &amp; Data &ndash; AI Architect Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 Our shared values guide the way we behave to make a positive, enduring impact:
 
 
 We are seeking a highly experienced
 
 AI Architect at Manager level
 
 to lead the design, development, and delivery of cutting-edge AI solutions for our clients. The role combines deep technical expertise in artificial intelligence with the ability to shape strategic engagements, advise senior stakeholders, and lead multidisciplinary teams. This is a client-facing leadership position where you will architect enterprise-grade AI solutions that drive measurable business impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Strategy &amp; Advisory
 
 
 
 <ul>
 <li>
 Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.
 
 
 </li>
 </ul>
 
 Architecture &amp; Solution Design
 
 
 
 <ul>
 <li>
 Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow).
 </li>
 <li>
 Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO).
 </li>
 <li>
 Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.
 
 
 </li>
 </ul>
 
 Delivery &amp; Execution
 
 
 
 <ul>
 <li>
 Lead end-to-end delivery of complex AI programs, from PoC through scaling into production.
 </li>
 <li>
 Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing.
 </li>
 <li>
 Drive the industrialization of AI assets into reusable accelerators and IP for the firm.
 
 
 </li>
 </ul>
 
 Leadership &amp; Practice Building
 
 
 
 <ul>
 <li>
 Mentor and develop AI architects, engineers, and consultants within the firm.
 </li>
 <li>
 Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership.
 </li>
 <li>
 Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
 </li>
 <li>
 Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.
 </li>
 <li>
 Strong technical foundation in:
 </li>
 <ul>
 <li>
 Large Language Models (LLMs), generative AI, and agent-based systems
 </li>
 <li>
 MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
 </li>
 <li>
 Enterprise application ecosystems (ERP, CRM, HRM platforms)
 </li>
 <li>
 AI security, governance, and compliance frameworks
 </li>
 </ul>
 <li>
 Track record of leading large-scale AI programs and cross-functional teams.
 </li>
 <li>
 Strong business acumen with ability to translate complex AI concepts into executive-level narratives and measurable value.
 </li>
 <li>
 Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certifications in the field is a plus.
 </li>
 <li>
 Publications or articles on Artificial Intelligence topics is a plus.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Strategic Thinking &ndash; Ability to shape enterprise AI transformation journeys.
 </li>
 <li>
 Technical Leadership &ndash; Expertise in designing and governing scalable AI architectures.
 </li>
 <li>
 Client Engagement &ndash; Strong consulting skills, executive presence, and storytelling ability.
 </li>
 <li>
 Innovation Mindset &ndash; Passion for exploring emerging AI paradigms and turning them into business value.
 </li>
 <li>
 People Leadership &ndash; Proven ability to mentor, inspire, and build high-performing teams.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to lead AI architecture for some of the region&rsquo;s most ambitious transformation programs.
 </li>
 <li>
 A platform to shape the future of AI consulting and build new IP and accelerators.
 </li>
 <li>
 Career growth in a dynamic, fast-scaling practice with global exposure.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 </li>
 </ul>
</div>

Manager | Engineering AI & Data | AI & Data | AI Architect

Accenture

<div><h3 class="jobSectionHeader">Role Overview</h3>
As an AI Architecture Senior Manager, you will lead the strategy, design, and implementation of enterprise-scale AI platforms and architectures, enabling the adoption of advanced AI technologies including Generative AI, Large Language Models (LLMs), and multi-modal models. You will define the target-state AI architecture, drive technology decisions, and establish scalable, secure, and governed AI foundations that accelerate business innovation and enterprise-wide AI adoption.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and evolve enterprise AI architecture strategies, frameworks, and reference architectures, including Generative AI, LLMs, and multi-modal AI solutions.</li><li>
Assess emerging AI technologies, platforms, and architectural patterns, providing leadership on technology selection and adoption.</li><li>
Develop and execute AI transformation roadmaps that establish enterprise AI foundations and long-term scalability.</li><li>
Design and operationalize end-to-end AI platforms supporting model development, deployment, monitoring, governance, and lifecycle management.</li><li>
Lead the integration of AI/ML technologies across data platforms, model ecosystems, MLOps, cloud infrastructure, security, and governance frameworks.</li><li>
Architect and build custom AI platform components to address complex business and technical requirements.</li><li>
Optimize compute infrastructure, model-serving environments, and distributed AI workloads for scalability, performance, reliability, and cost efficiency.</li><li>
Establish enterprise AI operational standards, including observability, monitoring, performance management, and platform resilience.</li><li>
Implement Responsible AI, security, privacy, risk management, and compliance controls across AI solutions and platforms.</li><li>
Partner with business and technology stakeholders to define AI governance models, architecture standards, and best practices.</li><li>
Provide technical leadership and mentorship to architecture, engineering, and data teams throughout AI initiatives.</li></ul></div>
 
<div><h2 class="jobSectionHeader">Job Qualifications</h2><h3 class="jobSectionHeader">
Basic Qualifications</h3><ul><li>
12+ years of experience in AI Architecture, Enterprise Architecture, Data Platforms, Cloud Architecture, or related technology leadership roles.</li><li>
Proven experience designing and implementing enterprise-scale AI/ML platforms and advanced AI solutions.</li><li>
Deep understanding of Generative AI, Large Language Models (LLMs), multi-modal models, and AI ecosystem technologies.</li><li>
Strong experience with cloud platforms such as Azure, AWS, or Google Cloud and their AI/ML services.</li><li>
Expertise in MLOps, AI platform engineering, model deployment, monitoring, and operationalization.</li><li>
Experience implementing AI security, governance, compliance, and Responsible AI frameworks.</li><li>
Strong architecture leadership experience with the ability to influence senior stakeholders and technology strategy.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience establishing Enterprise AI Foundations, AI Centers of Excellence (CoE), or AI Transformation programs.</li><li>
Knowledge of vector databases, Retrieval-Augmented Generation (RAG), AI agents, orchestration frameworks, and advanced AI architecture patterns.</li><li>
Experience with Kubernetes, containerization, distributed computing, and high-performance AI infrastructure.</li><li>
Expertise in AI observability, model performance optimization, platform reliability, and cost management.</li><li>
Strong consulting, stakeholder management, and executive communication skills.</li><li>
Relevant certifications in Cloud Architecture, Artificial Intelligence, Machine Learning, or Enterprise Architecture are preferred.</li></ul></div>

AI Architecture Senior Manager

Job Overview Freyssinet Saudi Arabia is seeking an experienced and dedicated MEP Construction Manager to join our dynamic team. This is a full-time position based in Riyadh, Saudi Arabia. Since our inception in 1978, Freyssinet Saudi Arabia (FSA) has established itself as a leader in the construction industry, transitioning from a specialist in pre-fabricated and pre-stressed concrete to a major general contractor. We have a proud history of successfully delivering a wide variety of large-scale contracts, including building complexes, hospitals, industrial projects, commercial centres, and bridges. The successful candidate will be responsible for overseeing and managing all Mechanical, Electrical, and Plumbing (MEP) aspects of our prestigious construction projects, ensuring they are completed on time, within budget, and to the highest standards of quality and safety. Responsibilities * Lead and manage all on-site MEP-related activities from project inception to completion. * Coordinate effectively with project managers, clients, consultants, and subcontractors to ensure seamless project execution. * Review and approve MEP design drawings, specifications, calculations, and material submittals. * Ensure all MEP works comply with project specifications, industry standards, and local regulations. * Develop and manage MEP project schedules, budgets, and resource allocation plans. * Oversee the installation, testing, and commissioning of all MEP systems, including HVAC, plumbing, electrical, and fire safety. * Implement and enforce strict health and safety protocols for all MEP operations on site. * Conduct regular site inspections to monitor progress, ensure quality control, and identify potential issues. * Provide technical guidance and support to the project team, resolving any complex MEP-related challenges. * Prepare regular progress reports for senior management, detailing project status, milestones, and risks. Qualifications * A Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related discipline. * Proven experience as an MEP Manager or in a similar senior role on large-scale construction projects. * Comprehensive technical knowledge of all major MEP systems, components, and installation procedures. * In-depth understanding of construction project management principles and practices. * Strong leadership, communication, and interpersonal skills, with the ability to manage a diverse team. * Excellent problem-solving and decision-making abilities. * Proficiency in relevant software such as AutoCAD, Revit, and project management tools. * Thorough knowledge of international codes, standards, and health and safety regulations. * Previous experience working in Saudi Arabia or the wider Middle East region is highly advantageous.

MEP- Construction Manager

TAKWEEN ADVANCE INDUSTRIES

Role Overview:We are seeking a hands-on Senior AI Engineer to design, build, and deploy enterprise AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.The ideal candidate combines strong AI expertise with software engineering skills and has experience taking AI applications from concept through production.Key Responsibilities:&middot; Design and develop production-grade Generative AI and LLM applications.&middot; Build and optimize RAG pipelines, including document processing, chunking, embeddings, retrieval, reranking, and response generation.&middot; Design and implement AI agents and agentic workflows capable of reasoning, tool calling, and interacting with enterprise systems.&middot; Develop AI capabilities for enterprise search, Q&amp;A, summarization, document analysis, extraction, and decision support.&middot; Integrate AI solutions with APIs, databases, document repositories, search platforms, and enterprise applications.&middot; Develop APIs and reusable AI services supporting multiple applications and use cases.&middot; Optimize prompts, retrieval strategies, model selection, context management, latency, scalability, and cost.&middot; Implement AI evaluation frameworks covering accuracy, hallucination, retrieval quality, task success, and performance.&middot; Implement guardrails and controls addressing prompt injection, data leakage, inappropriate tool usage, and other AI security risks.&middot; Deploy, monitor, troubleshoot, and continuously improve AI applications in production.Skills &amp; Qualifications:&middot; 4+ years of experience in AI/ML Engineering, Software Engineering, or related fields, with strong recent experience in Generative AI.&middot; Expert-level proficiency in Python.&middot; Strong hands-on experience with LLMs, RAG, embeddings, vector search, and prompt engineering.&middot; Experience building AI agents, tool/function calling, and agentic workflows.&middot; Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks.&middot; Experience with PyTorch, Hugging Face Transformers, and open-source or commercial LLMs.&middot; Strong API and backend development experience, including integration with enterprise systems.&middot; Experience with AI evaluation, guardrails, LLM security, and production monitoring.&middot; Experience with cloud AI platforms.&middot; Experience with OCR, document intelligence, multimodal AI, and Arabic-language AI applications is highly desirable.&middot; Strong software engineering, problem-solving, communication, and technical leadership skills.Pay: From ﷼20,000.00 per monthWork Location: On the road

Senior AI Engineer

Saudi Azm عزم السعودية

<div>
 
 Job Description
 
 
 
 
 AI systems
 
 
 
 <ul>
 <li>
 Build, fine-tune, and evaluate LLM systems for domain-specific tasks (QLoRA / PEFT on open-weight models such as Llama-3 and Mistral).
 </li>
 <li>
 Design reproducible evaluation harnesses and A/B test frameworks with tracked metrics: task success rate, safety rate, and latency distributions (p50/p95).
 </li>
 <li>
 Architect multi-agent and RAG systems (LangGraph, FastAPI, vector databases) from prototype through production.
 </li>
 <li>
 Implement safety guardrails &mdash; input/output validation, allowlist/denylist policies, and controls that reduce invalid or high-risk model actions.
 </li>
 <li>
 Translate business use cases into deployable prototypes with measurable acceptance criteria, and demo them to stakeholders.
 
 
 </li>
 </ul>
 
 Platform &amp; infrastructure
 
 
 
 <ul>
 <li>
 Design and operate cloud infrastructure and MLOps workspaces (Azure, OCI, or GCP) for AI workloads on Kubernetes and containerized runtimes.
 </li>
 <li>
 Build CI/CD pipelines and GitOps-based release promotion (Argo CD) across development, test, and production environments.
 </li>
 <li>
 Implement end-to-end observability (Azure Monitor, Application Insights, ELK) with defined detection and response targets.
 </li>
 <li>
 Apply network and perimeter security baselines (FW/WAF), automated code quality and SCA scanning (SonarQube, Black Duck), and gated pipelines.
 </li>
 <li>
 Own disaster recovery design &mdash; automated backups, failover, and documented RTO/RPO commitments.
 
 
 </li>
 </ul>
 
 Engineering leadership
 
 
 
 <ul>
 <li>
 Lead and mentor a cloud/AI operations team; define monitoring, incident response, and release governance practices with clear uptime and MTTR targets.
 </li>
 <li>
 Standardize SDLC practices &mdash; branching strategy, PR governance, release management, delivery reporting &mdash; to improve lead time and deployment frequency.
 </li>
 <li>
 Consolidate engineering tooling and workflows; drive migrations and platform standardization where fragmentation slows delivery.
 </li>
 <li>
 Produce handover documentation and runbooks that make systems auditable and operationally transferable.
 </li>
 <li>
 Support vendor and licensing negotiations for cloud enterprise agreements.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Software Engineering, Computer Science, or a related field.
 </li>
 <li>
 6&ndash;8+ years in software, DevOps, or platform engineering, including at least 2 years in an applied AI or ML engineering capacity.
 </li>
 <li>
 Proven delivery of production AI/LLM systems &mdash; not only research or notebook-stage work.
 </li>
 <li>
 Strong Python; comfortable with Bash and YAML.
 </li>
 <li>
 Deep hands-on experience with Kubernetes, Docker/Podman, and Terraform.
 </li>
 <li>
 Production experience with at least one major cloud (Azure preferred; OCI or GCP acceptable).
 </li>
 <li>
 Demonstrated ownership of CI/CD at scale (Azure DevOps, GitHub Actions) and GitOps release models.
 </li>
 <li>
 Experience leading a team and setting engineering standards across multiple squads.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in Applied AI, Machine Learning, or a related discipline.
 </li>
 <li>
 Fine-tuning experience with QLoRA/LoRA on GPU clusters; PyTorch and Transformers.
 </li>
 <li>
 Vector database experience (Milvus, Pinecone, or Weaviate) and RAG retrieval design.
 </li>
 <li>
 Experience delivering on Saudi government or large-scale national digital platforms, with familiarity in local compliance and standards.
 </li>
 <li>
 Arabic and English professional proficiency.
 
 
 </li>
 </ul>
 
 Technical Environment
 
 
 
 Python, FastAPI, PyTorch, Transformers, LangGraph, Milvus/Pinecone/Weaviate, Redis, PostgreSQL, Kubernetes, Docker/Podman, Terraform, Argo CD, Azure DevOps, GitHub Actions, Azure ML, Azure Monitor / Application Insights, ELK, SonarQube, Black Duck, Fortinet FW/WAF.
</div>

AI Engineer

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