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Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul> 

Requirements 
We need you to have:<ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul>
It would also be great if you:<ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

DevOps Engineer

CoolIT Systems IT Services Ltd.

<div>Project Manager, UAE &ndash; Professional Services

ABOUT COOLIT SYSTEMS INC.

Founded in Calgary, Alberta in 2001, CoolIT Systems is the leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers. We design and manufacture solutions used by the largest tech companies globally.

Recognized as one of &ldquo;The Americas&rsquo; Fastest Growing Companies 2023&rdquo; by Financial Times and honored with the Deloitte Fast 50 Clean Technology award in 2022, as well as the Deloitte Fast 500 distinction in both 2021 and 2022, CoolIT's rapid growth is capturing global attention.

As demand for generative AI, high performance computing and cloud solutions rapidly expands, there has never been a more exciting time to join our team.

WHAT YOU&rsquo;LL DO:

Role:

CoolIT Systems is a global leader in liquid cooling for data centers, seeking an experienced Project Manager based remotely in the UAE. In this role, you will lead end-to-end delivery of liquid cooling deployments&mdash;from enterprise IT to AI and high-performance systems&mdash;while working closely with customers, internal teams, and vendors. 
You&rsquo;ll ensure projects are executed seamlessly from initiation to closeout, aligning with client requirements and business goals. Drawing on experience in sales, design, deployment, and maintenance, you will drive innovative solutions while managing risk, cost, and resources.

Responsibilities:
<ul>
<li>Project planning, execution and maintenance: Manage daily project tasks, coordinate with vendors, subcontractors, and stakeholders to ensure on-time, on-budget delivery. Also handle post-deployment maintenance for existing projects.</li>
<li>Design coordination and technical support: Independently design, validate and deliver solutions, ensuring that all project designs meet the required specifications and industry standards, and providing technical guidance to the team.</li>
<li>Resource management: Allocating resources such as ASP, materials, and equipment, and ensuring they are used efficiently.</li>
<li>Cost control: Managing the project budget, monitoring costs, and making adjustments as needed to avoid overruns.</li>
<li>Quality assurance and compliance: Ensuring that the project meets all regulatory, safety, and quality standards.</li>
<li>Client interaction: Working directly with clients to understand their needs and keep them informed of the project's progress.</li>
<li>Risk management: Take full ownership of identifying potential risks to the project (e.g., delays, cost overruns) and implementing strategies to mitigate them.</li>
</ul>
WHO YOU ARE:

Basic Qualifications:
<ul>
<li>Bachelor&rsquo;s degree in engineering (or equivalent experience) with 5 years of relevant project or program management in data center, cooling, or complex technical deployments.</li>
<li>Strong understanding of engineering principles and practical problem-solving.</li>
<li>Proven ability to manage complex projects and prioritize competing deliverables.</li>
<li>Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint).</li>
<li>Comfortable working in a fast-paced, dynamic environment with shifting priorities.</li>
<li>Willingness to travel internationally up to 25%; valid passport and driver&rsquo;s license required.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience working on technical design for data centers and or liquid cooling systems.</li>
<li>Field engineering experience in a related discipline. Field engineering experience in a related discipline.
</li><li>Knowledge in selling and deploying products in coordination with multiple internal and external stakeholders.</li>
<li>Understanding of P&amp;ID drawings, 2D and 3D mechanical model design with ability to create, review and approve.</li>
<li>Ability to occasionally lift up to 23 kg.</li>
</ul>
Skills: 

<ul>
<li>Technical Expertise: Strong technical knowledge of cooling systems, heat transfer concepts, and mechanical design.</li>
<li>Communication: Excellent written and verbal communication skills to convey complex technical concepts to peers and external customers.</li>
<li>Organization: Ability to manage multiple complex projects efficiently.</li>
<li>Collaboration: Capable of leading collaboration efforts with internal and external stakeholders.</li>
<li>Independence: Able to solve complex problems on their own and communicate risks while coming up with effective mitigation plans.</li>
</ul>
.

WHY COOLIT?

We strive to be an employer of choice and as such we believe in rewarding our employees with career and development opportunities that will maintain and strengthen our culture while aligning to our vision and values.

We thank every candidate in advance, however, only those selected for an interview will be contacted.

Successful candidates for this position will be required to undergo background checks including criminal records check and education.</div>

Project Manager

MVP Application and game design L.L.C

We are looking for an Agentic AI Developer who can design, build, and optimize advanced AI systems that go beyond simple chatbot or basic RAG implementations. The ideal candidate should have hands-on experience creating multi-agent workflows, tool-using AI agents, retrieval systems, reasoning pipelines, orchestration layers, and production-ready AI architectures.This role requires someone who understands how to build complex AI systems where multiple components work together, including LLMs, vector databases, APIs, memory, tools, workflows, permissions, guardrails, and backend services. The candidate should be able to think architecturally, break down business problems into AI workflows, and design systems that are scalable, secure, reliable, and suitable for enterprise or government environments.The candidate should also have basic to intermediate knowledge of Node.js, enough to connect AI services with backend APIs, build lightweight services, integrate third-party tools, and support implementation with the engineering team.Technical RequirementsThe candidate should have hands-on experience with:<ul><li>Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or custom orchestration layers</li><li>Agent loops, planning/execution flows, task decomposition, reflection, validation, and human-in-the-loop workflows</li><li>Tool calling / function calling, structured outputs, JSON schemas, API execution, and tool safety controls</li><li>Stateful AI workflows, including state machines, graph-based orchestration, session state, and workflow persistence</li><li>Advanced RAG pipelines, including:</li><li>Chunking strategies</li><li>Embedding model selection</li><li>Hybrid search</li><li>Metadata filtering</li><li>Query rewriting</li><li>Reranking</li><li>Context compression</li><li>Retrieval evaluation</li><li>Hallucination mitigation</li><li>Memory architecture, including:</li><li>Short-term memory</li><li>Long-term memory</li><li>User-specific memory</li><li>Vector memory</li><li>Persistent knowledge stores</li><li>LLM guardrails, including:</li><li>Prompt injection protection</li><li>Permission-aware retrieval</li><li>Output validation</li><li>Policy checks</li><li>Tool execution safety</li><li>Response verification</li><li>LLM observability and evaluation, including:</li><li>Tracing</li><li>Prompt/version management</li><li>Eval datasets</li><li>Regression testing</li><li>Latency analysis</li><li>Cost monitoring</li><li>Failure analysis</li><li>Enterprise integrations, including REST APIs, databases, CRMs/ERPs, document stores, webhooks, queues, and workflow engines</li><li>Vector databases such as Qdrant, Weaviate, Pinecone, Milvus, Chroma, pgvector, Elasticsearch, or OpenSearch</li><li>Secure deployment architectures for private cloud, on-premise, offline, or government-secure environments</li><li>Node.js basics, including API development, async workflows, service integration, and connecting AI systems to backend applications</li></ul>Important NoteThis role is not for someone who has only built a basic chatbot or RAG over a few PDFs.We are looking for someone who can architect real agentic AI systems with:<ul><li>Agents</li><li>Tools</li><li>Memory</li><li>Retrieval</li><li>Validation</li><li>Orchestration</li><li>Security</li><li>Monitoring</li><li>Production deployment</li></ul>Work location:Abu Dhabi - in officeJob Type: Full-timePay: AED10,000.00 - AED11,000.00 per monthApplication Question(s):<ul><li>What is the difference between a basic RAG chatbot and an agentic AI system?</li><li>⁠How would you handle user permissions when the agent retrieves documents from multiple departments?</li><li>How would you evaluate and audit an agent&rsquo;s decisions, tool calls, and retrieved sources in production?</li></ul>Experience:<ul><li>AI Agent &amp; Routing Engineer: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI Systems Architect & Developer

AVEVA

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.<div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Reliability Engineering (RAM Analysis &middot; FMEA &middot; Bad Actor Management &middot; Programme KPI Governance)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div>
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.
The Job
The Reliability Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, governance, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region.
The role combines deep reliability engineering expertise with predictive maintenance, asset performance management, and operational governance capabilities to ensure deployed predictive solutions deliver sustained reliability improvements, maintenance optimization, operational efficiency, and measurable business value.
The SME will act as the integrator across multiple engineering disciplines &mdash; including rotating, static, electrical, process, and integrity domains &mdash; ensuring predictive insights translate into effective operational actions, reliability improvements, and quantified programme outcomes.
The role is responsible for establishing and governing the reliability and value realization framework for deployed predictive solutions, ensuring operational adoption, KPI tracking, continuous improvement, and long-term sustainment across customer facilities.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.</li><li>
Provide reliability engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Asset criticality</li><li>
Failure modes</li><li>
Reliability risk profiles</li><li>
Maintenance strategies</li><li>
Operational and maintenance workflows</li></ul></li><li>
Support asset criticality assessments, use case definition, and prioritization of high-value reliability monitoring opportunities across:<ul><li>
Rotating equipment</li><li>
Static equipment</li><li>
Electrical systems</li><li>
Process systems</li><li>
Integrity-critical assets</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Validate predictive model outputs against historical reliability trends, maintenance history, failure records, and operational performance data.</li><li>
Support development of reliability governance frameworks, KPI structures, and value realization methodologies for deployed solutions.</li><li>
Provide engineering input to support expansion of predictive monitoring and reliability optimization coverage across additional assets, systems, and facilities.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Lead the reliability governance and value realization framework for deployed predictive analytics and asset performance solutions.</li><li>
Own and maintain programme benefits realization tracking across all engineering disciplines and customer facilities.</li><li>
Consolidate and report realized operational value including:<ul><li>
Downtime avoided</li><li>
Maintenance cost savings</li><li>
Production uplift</li><li>
Energy efficiency improvements</li><li>
Reduced equipment failures</li><li>
Improved equipment availability</li></ul></li><li>
Lead bad actor analysis informed by predictive model outputs and coordinate cross-functional investigations to address recurring failure patterns.</li><li>
Apply reliability engineering methodologies including:<ul><li>
Reliability Availability Maintainability (RAM) analysis</li><li>
Failure Modes and Effects Analysis (FMEA)</li><li>
Root Cause Analysis (RCA)</li><li>
Weibull analysis</li><li>
Reliability-centered maintenance (RCM) principles</li></ul></li><li>
Validate predictive model performance and support continuous improvement of maintenance and reliability strategies.</li><li>
Develop and maintain performance dashboards and governance metrics tracking:<ul><li>
Alert accuracy</li><li>
False positive rates</li><li>
Missed detections</li><li>
Advisory adoption rates</li><li>
Operational response effectiveness</li><li>
Reliability KPI improvements</li></ul></li><li>
Drive continuous improvement in operational adoption and usage of predictive analytics outputs by identifying workflow gaps and recommending process enhancements.</li><li>
Work closely with customer maintenance, operations, inspection, engineering, and reliability teams to integrate predictive insights into day-to-day reliability and maintenance workflows.</li><li>
Ensure predictive models remain aligned with actual operational conditions, maintenance practices, and asset performance throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned reliability and asset performance portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness across multiple engineering disciplines.</li><li>
Participate in governance meetings, technical reviews, workshops, SteerCo discussions, and value realization sessions with customer stakeholders, asset owners, PMO teams, and senior leadership.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance, operational adoption, and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and asset performance solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, reliability reviews, bad actor investigations, technical assessments, governance discussions, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical, Electrical, Chemical, Industrial, or related engineering discipline.</li><li>
Minimum 12 years of reliability engineering experience within oil &amp; gas, petrochemical, refining, gas processing, power generation, or heavy industrial environments.</li><li>
Strong experience applying:<ul><li>
RAM analysis</li><li>
FMEA</li><li>
RCA</li><li>
Weibull analysis</li><li>
Reliability-centered maintenance methodologies</li></ul></li><li>
Cross-discipline asset management experience spanning:<ul><li>
Mechanical systems</li><li>
Electrical systems</li><li>
Process systems</li><li>
Integrity-critical assets</li></ul></li><li>
Experience owning programme KPI governance, reliability reporting, and value realization tracking for operational facilities.</li><li>
Experience working with predictive maintenance, condition monitoring, or AI-driven asset performance platforms.</li><li>
Strong understanding of maintenance and reliability workflows within industrial operating environments.</li><li>
Experience interpreting operational and maintenance data from SCADA, PI Historian / OSIsoft, CMMS, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
Certified Reliability Engineer (CRE) preferred</li><li>
CMRP (Certified Maintenance &amp; Reliability Professional) advantageous</li><li>
Reliability-centered maintenance or asset management certifications preferred</li></ul><div></div>
Key Skills &amp; Competencies<ul><li>
Reliability engineering and asset performance management</li><li>
RAM, FMEA, RCA, and Weibull analysis</li><li>
Predictive maintenance and bad actor management</li><li>
Reliability KPI governance and value realization tracking</li><li>
Operational workflow optimization</li><li>
Cross-functional technical leadership</li><li>
Operational data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-disciplinary collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Reliability Engineering

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.<div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Corrosion &amp; Mechanical Integrity
(Corrosion Monitoring &middot; RBI &middot; Wall Thickness Management &middot; Fitness-for-Service)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div>
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.
The Job
The Corrosion &amp; Mechanical Integrity SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region.
The role combines deep corrosion engineering and integrity management expertise with predictive maintenance and reliability advisory capabilities to ensure predictive models deliver measurable improvements in corrosion risk management, inspection optimization, asset integrity, and operational performance.
The SME will work closely with customer operations, inspection, integrity, maintenance, and engineering teams throughout the solution lifecycle &mdash; from model development and deployment through operational monitoring, optimization, and long-term sustainment.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities.</li><li>
Provide corrosion and mechanical integrity subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Corrosion mechanisms</li><li>
Integrity risks</li><li>
Operating conditions</li><li>
Inspection strategies</li><li>
Historical degradation patterns</li></ul></li><li>
Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:<ul><li>
Pipelines</li><li>
Pressure vessels</li><li>
Piping systems</li><li>
Static process equipment</li><li>
Corrosion loops and circuits</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive model outputs with operational and integrity data including:<ul><li>
Wall thickness measurements</li><li>
Corrosion rates</li><li>
Inspection findings</li><li>
Chemical injection data</li><li>
Process fluid composition</li><li>
Environmental and operational conditions</li></ul></li><li>
Validate model outputs against known degradation mechanisms, inspection history, and operating conditions to improve model accuracy and reliability.</li><li>
Provide engineering input to support expansion of predictive monitoring coverage to additional assets and integrity circuits.</li></ul>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Monitor and manage predictive anomaly alerts related to corrosion and integrity risks across deployed assets.</li><li>
Assess alert severity, validate operational impact, and recommend appropriate prioritization and mitigation actions.</li><li>
Identify early indicators of:<ul><li>
Internal corrosion</li><li>
External corrosion</li><li>
Corrosion Under Insulation (CUI)</li><li>
Erosion-corrosion</li><li>
Wall thinning</li><li>
Integrity degradation</li></ul></li><li>
Recommend proactive inspection, mitigation, repair, and operational intervention strategies prior to integrity failures or shutdowns.</li><li>
Collaborate with customer inspection, integrity, operations, maintenance, and reliability teams to plan and execute corrective and preventive activities.</li><li>
Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.</li><li>
Support Risk-Based Inspection (RBI), Fitness-for-Service (FFS), corrosion management, and integrity optimization initiatives.</li><li>
Ensure predictive models remain aligned with actual operating conditions, inspection strategies, and integrity management practices throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned integrity and corrosion monitoring portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.</li><li>
Track and report integrity and value realization KPIs including:<ul><li>
Inspection deferrals justified</li><li>
Early wall loss detection</li><li>
Avoided integrity failures</li><li>
Reduced inspection costs</li><li>
Reduced unplanned downtime</li></ul></li><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, integrity reviews, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical, Metallurgical, Materials, or Chemical Engineering.</li><li>
Minimum 10 years of experience in corrosion engineering, inspection engineering, or mechanical integrity management within oil &amp; gas, refining, petrochemical, or industrial environments.</li><li>
Strong expertise in corrosion monitoring, degradation assessment, and integrity risk management.</li><li>
Experience implementing or supporting RBI methodologies aligned with API 580 / 581.</li><li>
Strong understanding of:<ul><li>
Corrosion mechanisms</li><li>
Wall thickness management</li><li>
Integrity operating windows</li><li>
Fitness-for-Service methodologies</li><li>
Inspection planning and execution</li></ul></li><li>
NDT, inspection engineering, or integrity management background preferred.</li><li>
Familiarity with integrity management systems, digital integrity platforms, and historian systems such as PI / OSIsoft or equivalent.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul>
Preferred Certifications<ul><li>
NACE / AMPP Corrosion Certification</li><li>
ICorr Certification</li><li>
API 580 / 581 RBI Certification</li><li>
API 510 / 570 preferred</li><li>
Fitness-for-Service (API 579) exposure preferred</li></ul><div></div>
Preferred Industry Experience<ul><li>
Oil &amp; Gas operators in the Middle East region</li><li>
Upstream production facilities</li><li>
Offshore operations</li><li>
Gas processing plants</li><li>
Refineries and petrochemical facilities</li><li>
LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>
Corrosion engineering and integrity management</li><li>
Risk-Based Inspection (RBI)</li><li>
Wall thickness monitoring and degradation analysis</li><li>
Fitness-for-Service (FFS)</li><li>
Integrity data interpretation and analytics validation</li><li>
Inspection strategy optimization</li><li>
Root Cause Analysis (RCA)</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-functional collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Corrosion & Mechanical Integrity

<div>AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life &ndash; such as energy, infrastructure, chemicals and minerals &ndash; safely, efficiently and more sustainably.
We&rsquo;re the first software business in the world to have our sustainability targets validated by the SBTi, and we&rsquo;ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We&rsquo;ve also recently been named as one of the world&rsquo;s most innovative companies.
If you&rsquo;re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers.
For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.<div><div><div><div><div><div><div><div><div>
Job Title: Subject Matter Expert &ndash; Static Equipment
(Pressure Vessels &middot; Heat Exchangers &middot; Columns &middot; Tanks &middot; Piping &middot; Asset Integrity)
Location: Abu Dhabi
Employment Type: Full Time</div></div></div></div></div></div></div></div></div> 
Programme Context
AVEVA delivers Predictive Analytics, Asset Performance Management, and Process Optimisation solutions across Oil &amp; Gas, Energy, and Industrial operators throughout the Middle East region. These digital solutions monitor critical equipment and operational processes in real time, generating predictive alerts and operational advisories designed to prevent unplanned downtime, extend asset life, improve reliability, and optimize operational performance.
This SME role exists to ensure predictive model outputs are technically interpreted, validated, operationalized, and sustained &mdash; converting AI-generated insights into measurable operational, reliability, and financial benefits across customer facilities.<div></div>
The Job
The Static Equipment SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Asset Performance solutions deployed across customer operations in the Middle East region.
The role combines deep static equipment and integrity engineering expertise with predictive maintenance and reliability advisory capabilities to ensure predictive models deliver measurable improvements in equipment reliability, integrity management, maintenance optimization, and operational performance.
The SME will work closely with customer operations, maintenance, reliability, inspection, and engineering teams throughout the solution lifecycle &mdash; from model development and deployment through operational monitoring, optimization, and long-term sustainment.
Key Responsibilities
Solution Deployment &amp; Model Enablement<ul><li>
Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities.</li><li>
Provide static equipment and integrity engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.</li><li>
Work closely with analytics, data science, product, and delivery teams to ensure predictive models accurately reflect:<ul><li>
Equipment operating behaviour</li><li>
Degradation mechanisms</li><li>
Process conditions</li><li>
Inspection strategies</li><li>
Failure modes and operating envelopes</li></ul></li><li>
Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:<ul><li>
Pressure vessels</li><li>
Heat exchangers</li><li>
Columns</li><li>
Tanks</li><li>
Piping systems</li><li>
Associated static assets</li></ul></li><li>
Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.</li><li>
Correlate predictive model outputs with operational and integrity data including:<ul><li>
Fouling trends</li><li>
Pressure drop analysis</li><li>
Temperature profiles</li><li>
Inspection findings</li><li>
Thickness measurements</li><li>
Historical maintenance and failure records</li></ul></li><li>
Validate model outputs against known equipment behaviour and operating conditions to improve model accuracy and reliability.</li><li>
Provide engineering input to support expansion of predictive monitoring coverage to additional static assets and facilities.</li></ul><div></div>
Predictive Monitoring, Sustainment &amp; Value Realization<ul><li>
Monitor and manage predictive anomaly alerts for deployed static equipment assets.</li><li>
Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions.</li><li>
Identify early indicators of:<ul><li>
Fouling</li><li>
Wall thinning</li><li>
Pressure losses</li><li>
Thermal degradation</li><li>
Integrity deterioration</li><li>
Process performance deviations</li></ul></li><li>
Recommend proactive inspection, cleaning, repair, and operational intervention strategies prior to failures or shutdowns.</li><li>
Collaborate with customer maintenance, inspection, operations, process, and reliability teams to plan and execute corrective and preventive activities.</li><li>
Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.</li><li>
Support Risk-Based Inspection (RBI), integrity management, and static equipment reliability improvement initiatives.</li><li>
Ensure predictive models remain aligned with actual operating conditions, inspection strategies, and asset behaviour throughout the sustainment lifecycle.</li><li>
Act as the primary technical focal point during sustainment and managed service phases for assigned static equipment asset portfolios.</li><li>
Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.</li><li>
Track and report reliability and value realization KPIs including:<ul><li>
Deferred failures</li><li>
Avoided shutdowns</li><li>
Reduced maintenance costs</li><li>
Improved equipment availability</li><li>
Inspection optimization benefits</li></ul></li><li>
Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.</li><li>
Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.</li><li>
Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics solutions.</li><li>
Conduct periodic visits to customer plants, operational facilities, and industrial sites to support deployment activities, technical assessments, alert validation, and stakeholder engagement.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Mechanical Engineering or related engineering discipline.</li><li>
Minimum 10 years of static equipment engineering experience within oil &amp; gas, petrochemical, refining, gas processing, or industrial environments.</li><li>
Strong background in inspection engineering, maintenance engineering, or asset integrity management within operating facilities.</li><li>
Expertise in pressure vessels, heat exchangers, columns, piping systems, tanks, and associated static assets.</li><li>
Familiarity with API 510, API 570, API 579, and integrity assessment methodologies preferred.</li><li>
Strong understanding of degradation mechanisms, inspection strategies, and operational reliability practices.</li><li>
Experience interpreting operational and integrity data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.</li><li>
Familiarity with predictive analytics platforms, industrial AI systems, or digital reliability solutions preferred.</li><li>
Middle East or GCC operating environment experience preferred.</li></ul><div></div>
Preferred Certifications<ul><li>
API 510 &ndash; Pressure Vessel Inspector</li><li>
API 570 &ndash; Piping Inspector</li><li>
API 579 / Fitness-for-Service exposure preferred</li><li>
RBI or integrity management certifications preferred</li></ul>
Preferred Industry Experience<ul><li>
Oil &amp; Gas operators in the Middle East region</li><li>
Upstream production facilities</li><li>
Offshore operations</li><li>
Gas processing plants</li><li>
Refineries and petrochemical facilities</li><li>
LNG and industrial energy operations</li></ul>
Key Skills &amp; Competencies<ul><li>
Static equipment integrity and reliability management</li><li>
Inspection planning and degradation assessment</li><li>
Predictive maintenance and integrity analytics</li><li>
Risk-Based Inspection (RBI)</li><li>
Failure analysis and troubleshooting</li><li>
Operational data interpretation and analytics validation</li><li>
Technical governance and stakeholder engagement</li><li>
Cross-functional collaboration and advisory capability</li></ul>
Services at AVEVA
Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA&rsquo;s solutions. If you&rsquo;re analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.
Find out more: https://www.aveva.com/en/about/careers/
AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. 
AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. 
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.</div>

Subject Matter Expert – Static Equipment

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm Engineering FZ LLC
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Applications Engineering
 
 
 
 General Summary
 
 
 
 
 About Qualcomm IE‑IoT
 
 
 
 Qualcomm is a global leader in connected intelligent edge platforms, delivering solutions that combine high‑performance compute, connectivity, and AI across industries including industrial automation, smart cities, energy, and public sector. The IE‑IoT business unit enables secure, scalable, low‑latency intelligence across on‑device, on‑premises, and hybrid cloud deployments.
 
 
 
 Role Summary
 
 
 
 The IoT Solutions Architect is a senior, hands‑on technical leadership role responsible for defining, architecting, and delivering end‑to‑end IoT and Edge AI solutions built on Qualcomm platforms. This role sits at the intersection of solution architecture, customer engineering, product management, and ecosystem partnerships, owning reusable solution blueprints that accelerate customer adoption across multiple verticals while serving as a trusted technical advisor to strategic customers.
 
 
 
 Key Responsibilities
 
 
 
 
 Solution Architecture &amp; Technical Leadership
 
 
 
 <ul>
 <li>
 Define and own scalable IoT and Edge AI solution blueprints for priority verticals
 </li>
 <li>
 Architect end‑to‑end systems spanning on‑device compute, AI acceleration (CV, GenAI, multimodal), connectivity, gateways, edge servers, and hybrid cloud integrations
 </li>
 <li>
 Produce reference architectures, design guides, and deployment playbooks
 </li>
 <li>
 Ensure solutions meet production requirements for performance, latency, power, thermals, security, privacy, and scalability
 
 
 
 </li>
 </ul>
 
 Customer &amp; Partner Engagement
 
 
 
 <ul>
 <li>
 Act as technical lead and trusted advisor for strategic customers from discovery through production
 </li>
 <li>
 Translate business use‑cases and KPIs into system‑level technical architectures
 </li>
 <li>
 Lead executive‑level architecture reviews and roadmap alignment
 </li>
 <li>
 Collaborate with OEMs, ISVs, system integrators, and cloud partners
 </li>
 <li>
 Support POCs, pilots, and commercial launches
 
 
 
 </li>
 </ul>
 
 Hands‑On Prototyping &amp; Validation
 
 
 
 <ul>
 <li>
 Lead system bring‑up, prototyping, benchmarking, and optimization
 </li>
 <li>
 Integrate workloads such as computer vision, video analytics, AI/ML inference (CNNs, LLMs, VLMs), IoT gateways, and industrial data pipelines
 </li>
 <li>
 Profile and optimize end‑to‑end behavior across latency, throughput, accuracy, power, and cost on Qualcomm AI‑enabled platforms
 
 
 
 </li>
 </ul>
 
 Hybrid Edge AI Architecture
 
 
 
 <ul>
 <li>
 Design distributed AI architectures across on‑device, on‑prem edge, and cloud
 </li>
 <li>
 Enable offline/online operation, observability, fleet management, and secure enterprise integration
 
 
 
 </li>
 </ul>
 
 Cross‑Functional Leadership
 
 
 
 <ul>
 <li>
 Partner with Product Management, hardware/software engineering, performance teams, and customer engineering
 </li>
 <li>
 Feed real‑world deployment insights into platform, SDK, and roadmap improvements
 </li>
 <li>
 Represent Qualcomm in customer workshops and industry forums
 
 
 
 </li>
 </ul>
 
 Technical Profile
 
 
 
 <ul>
 <li>
 Strong system‑level expertise in IoT, embedded systems, and Edge AI
 </li>
 <li>
 Hands‑on software experience in Python and/or C/C++
 </li>
 <li>
 Experience with Embedded Linux, containers (Docker, Kubernetes), AI frameworks/runtimes (TensorFlow, PyTorch, ONNX, Qualcomm AI tools)
 </li>
 <li>
 Background in computer vision and/or generative AI inference
 </li>
 <li>
 Connectivity knowledge: Wi‑Fi, Bluetooth, Ethernet, LTE/5G
 
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 Delivering production IoT or Edge AI systems in customer‑facing roles
 </li>
 <li>
 Vertical exposure in industrial, smart cities, retail, healthcare, logistics, or public sector
 </li>
 <li>
 Hybrid edge/cloud architectures
 </li>
 <li>
 Executive‑level communication and product roadmap influence through deployments
 
 
 
 </li>
 </ul>
 
 What's On Offer
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <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>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
 
 
 <ul>
 <li>
 4+ years of experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 4+ years of experience with debugging techniques.
 </li>
 <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>
 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).
 
 
 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.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : 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.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

IoT Solutions Architect - Abu Dhabi, UAE

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