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azure ai ml architect

Acenet consulting

<div><div><b>Experience:</b> 10 to 15 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101362
<br>
<b>Posted on:</b> Nov 03, 2025<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br>
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p>
<p>Job Summary:<br>
We are seeking a highly experienced and technically strong Azure Technical Architect who will lead the design and implementation of enterprise cloud infrastructure and begin to integrate AI/ML capabilities. This role will require deep hands-on experience with infrastructure (on prem/VMs/hybrid), extensive Azure cloud architectural experience, and a working knowledge of machine learning and AI so that you can partner with data science/ ML teams and enable next-gen capabilities.</p>
<div>Key Responsibilities:<br>
<ul><li>Define and drive the technical architecture for Azure cloud (IaaS, PaaS, hybrid) infrastructure, ensuring alignment with business objectives, scalability, security, cost optimisation, reliability and operational excellence.</li><li>Lead design and deployment of Azure Landing Zones / enterprise cloud adoption frameworks and reference architectures (governance,</li></ul>
subscriptions, management groups, identity, networking).<br>
<ul><li>Hands-on design and implementation of infrastructure including compute (VMs, VM scale sets, containers/AKS), storage, databases, networking (VNet, peering, VPN/ExpressRoute, firewall, load balancers), identity &amp; access (Azure AD, RBAC, managed identities), hybrid connectivity.</li><li>Build and own Infrastructure as Code (IaC) modules/templates (e.g., Terraform, ARM, Bicep), CI/CD pipelines for infrastructure provisioning and deployments.</li><li>Lead and execute cloud migration strategies (on-prem Azure, legacy workloads cloud native), uplift existing systems, modernise infra, containerise where appropriate.</li><li>Ensure cloud security and compliance: enforce Azure best-practices, implement monitoring/logging (Azure Monitor, Log Analytics), guard-rails, cost governance, disaster recovery/business continuity, encryption, network segmentation.</li><li>AI/ML Integration: Work with data science/ML teams to architect and enable infrastructure and cloud services for ML/AI workloads&mdash;this includes responsible for enabling compute/data pipelines, containerisation, MLOps readiness, Azure ML, etc.</li><li>Provide technical leadership, mentoring and guidance to engineers, drive technical decision-making, perform architecture reviews, evaluate vendor/technology options.</li><li>Engage with stakeholders (business, IT leadership, external vendors) to understand requirements, create solution proposals, define technical roadmaps, present architecture, drive buy-in.</li><li>Establish and maintain architectural standards, patterns, reusable components, documentation (HLD/LLD, runbooks) and ensure their adoption.</li><li>Monitor and optimise Azure environment performance, cost, scalability and reliability over time &mdash; propose continuous improvement initiatives.</li><li>Stay current with emerging AI/ML trends and Azure services so you can guide future integration of AI capabilities into infrastructure/cloud platforms.</li></ul></div>
<div>Role Requirements and Qualifications:<br>
<ul><li>10-15 years of total IT experience, with a strong technical focus and hands-on background in infrastructure, cloud, and architecture roles.</li><li>Deep practical experience with Microsoft Azure: IaaS, PaaS, containers (AKS), storage, databases, networking, identity &amp; access. (Design + implementation).</li><li>Strong infrastructure background: on-prem compute/virtualisation (VMware/Hyper V), networking (TCP/IP, routing, firewalls), storage, hybrid connectivity.</li><li>Proven experience in designing and deploying cloud architectures (including hybrid/multi-cloud) for enterprise scale (large environments, many subscriptions, complex connectivity).</li><li>Proficiency with Infrastructure as Code (IaC) tools such as Terraform, ARM templates or Bicep- creating reusable modules and automating deployments.</li><li>Experience in DevOps / CI-CD / automation for infrastructure provisioning and integration with application delivery.</li><li>Strong skills in cloud networking (VNets, peering, VPN, ExpressRoute, NSG/ASG, firewalls), identity &amp; security (Azure AD, RBAC, managed identities, Key Vault) and governance (subscriptions, management groups, cost controls).</li><li>Basic AI/ML knowledge: Familiarity with machine learning fundamentals (supervised/unsupervised, feature engineering, model deployment concepts), and exposure to Azure ML or other equivalent services; able to collaborate with data/ML teams to enable infrastructure for ML.</li><li>Good communication and presentation skills able to engage with senior stakeholders and translate business needs into technical architecture.</li><li>Proven track record of leading/mentoring technical teams, driving adoption of architecture and standards.</li><li>Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert (or equivalent) strongly preferred.</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div>

Azure AI/ML Architect

<p><b>About Us:</b><br/>AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.<br/>We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.</p><p><b>Role Summary</b></p><p>We are seeking a highly experienced and technically strong Azure Technical Architect who will lead the design and implementation of enterprise cloud infrastructure and begin to integrate AI/ML capabilities. This role will require deep hands-on experience with infrastructure (on-prem/VMs/hybrid), extensive Azure cloud architectural experience, and a working knowledge of machine learning and AI so that you can partner with data science/ML teams and enable next-gen capabilities.</p><p><b>Key Responsibilities</b></p><ul><li>Define and drive the technical architecture for Azure cloud (IaaS, PaaS, hybrid) infrastructure, ensuring alignment with business objectives, scalability, security, costoptimisation, reliability and operational excellence.</li><li>Lead design and deployment of Azure Landing Zones / enterprise cloud adoption frameworks and reference architectures (governance, subscriptions, management groups, identity, networking).</li><li>Hands-on design and implementation of infrastructure including compute (VMs, VM scale sets, containers/AKS), storage, databases, networking (VNet, peering, VPN/ExpressRoute, firewall, load balancers), identity &amp; access (Azure AD, RBAC, managed identities), hybrid connectivity.</li><li>Build and own Infrastructure as Code (IaC) modules/templates (e.g., Terraform, ARM, Bicep), CI/CD pipelines for infrastructure provisioning and deployments.</li><li>Lead and execute cloud migration strategies (on-prem &rarr; Azure, legacy workloads &rarr; cloud native), uplift existing systems, modernise infra, containerise where appropriate.</li><li>Ensure cloud security and compliance: enforce Azure best-practices, implement monitoring/logging (Azure Monitor, Log Analytics), guard-rails, cost governance, disaster recovery/business continuity, encryption, network segmentation.</li><li>AI/ML Integration: Work with data science/ML teams to architect and enable infrastructure and cloud services for ML/AI workloads&mdash;this includes responsible for enabling compute/data pipelines, containerisation, MLOps readiness, Azure ML, etc.</li><li>Provide technical leadership, mentoring and guidance to engineers, drive technical decision-making, perform architecture reviews, evaluate vendor/technology options.</li><li>Engage with stakeholders (business, IT leadership, external vendors) to understand requirements, create solution proposals, define technical roadmaps, present architecture, drive buy-in.</li><li>Establish and maintain architectural standards, patterns, reusable components, documentation (HLD/LLD, runbooks) and ensure their adoption.</li><li>Monitor and optimise Azure environment performance, cost, scalability and reliability over time &mdash; propose continuous improvement initiatives.</li><li>Stay current with emerging AI/ML trends and Azure services so you can guide future integration of AI capabilities into infrastructure/cloud platforms.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>10-15 years of total IT experience, with a strong technical focus and hands-on background in infrastructure, cloud, and architecture roles.</li><li>Deep practical experience with Microsoft Azure: IaaS, PaaS, containers (AKS), storage, databases, networking, identity &amp; access. (Design + implementation)</li><li>Strong infrastructure background: on-prem compute/virtualisation (VMware/HyperV), networking (TCP/IP, routing, firewalls), storage, hybrid connectivity.</li><li>Proven experience in designing and deploying cloud architectures (including hybrid/multi-cloud) for enterprise scale (large environments, many subscriptions, complex connectivity).</li><li>Proficiency with Infrastructure as Code (IaC) tools such as Terraform, ARM templates or Bicep &mdash; creating reusable modules and automating deployments.</li><li>Experience in DevOps / CI-CD / automation for infrastructure provisioning and integration with application delivery.</li><li>Strong skills in cloud networking (VNets, peering, VPN, ExpressRoute, NSG/ASG, firewalls), identity &amp; security (Azure AD, RBAC, managed identities, Key Vault) and governance (subscriptions, management groups, cost controls).</li><li>Basic AI/ML knowledge: Familiarity with machine learning fundamentals (supervised/unsupervised, feature engineering, model deployment concepts), and exposure to Azure ML or other equivalent services; able to collaborate with data/ML teams to enable infrastructure for ML.</li><li>Good communication and presentation skills &mdash; able to engage with senior stakeholders and translate business needs into technical architecture.</li><li>Proven track record of leading/mentoring technical teams, driving adoption of architecture and standards.</li><li>Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert (or equivalent) strongly preferred</li></ul><p><b>Why Join Us:</b></p><ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: AED350,000.00 - AED450,000.00 per year</p><p>License/Certification:</p><ul><li>Azure Solutions Architect Expert certification (Preferred)</li></ul>

Azure Technical Architect with AI-ML Knowledge

NorthBay Solutions

<div><p><b>Job Title:</b> Technology Lead/Architect &ndash; AI/ML &amp; GenAI<br>
<b>Experience:</b> 12+ Years<br>
<b>Location:</b> Abu Dhabi, UAE<br>
<b>Employment Type:</b> Full-time</p><p></p><h3 class="jobSectionHeader"><b><br>
About the Role</b></h3><p>
NorthBay Solutions is seeking an accomplished <b>GenAI Technology Lead/Architect</b> with a strong track record in <b>Generative AI (GenAI), AI/ML, and enterprise architecture</b>. This role is ideal for a senior professional who can <b>design and deliver AI-powered enterprise solutions</b>, lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.</p><p>
You will be the <b>technical authority</b> for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.</p><p></p><h3 class="jobSectionHeader"><b><br>
Core Responsibilities</b></h3><ul><li><p>
Architect and deliver <b>end-to-end AI/ML and GenAI solutions</b> integrating with existing enterprise systems.</p></li><li><p>
Lead a <b>team of 8&ndash;12 engineers</b> across AI/ML, full-stack, and DevOps disciplines in Agile environments.</p></li><li><p>
Drive <b>technical decision-making</b> across infrastructure, APIs, microservices, databases, and AI platforms.</p></li><li><p>
Ensure successful deployment and scaling of AI solutions across <b>on-premises, cloud, and hybrid architectures</b>.</p></li><li><p>
Act as a <b>trusted advisor</b> to business stakeholders, bridging technical depth with strategic vision.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Technical Expertise Required</b></h3><h4 class="jobSectionHeader"><b>
Generative AI Leadership (3+ Years) &ndash; PRIMARY</b></h4><ul><li><p>
Expert-level experience with <b>LLMs</b> (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.</p></li><li><p>
Strong hands-on work with <b>Agentic AI</b>, <b>multi-agent systems</b>, and <b>RAG implementations</b>.</p></li><li><p>
Proficiency with <b>vector databases</b>, <b>LangChain</b>, <b>LangGraph</b>, and modern GenAI toolchains.</p></li><li><p>
Expertise in <b>advanced prompt engineering</b> and <b>Chain-of-Thought techniques</b>.</p></li><li><p>
Proven track record delivering <b>3+ production-grade GenAI applications</b>.</p></li></ul><h4 class="jobSectionHeader"><b>
AI/ML Foundation (4&ndash;5 Years)</b></h4><ul><li><p>
Hands-on experience with <b>Python, TensorFlow, and PyTorch</b> for building production ML systems.</p></li><li><p>
Full lifecycle management of ML models, from development to monitoring in production.</p></li><li><p>
Seamless <b>integration of AI/ML models</b> into enterprise-grade applications and platforms.</p></li></ul><h4 class="jobSectionHeader"><b>
Enterprise Architecture &amp; Deployment (8+ Years)</b></h4><ul><li><p>
Strong background in <b>full-stack development</b> (MERN stack or equivalent).</p></li><li><p>
Deployment expertise across <b>on-premises, cloud, and hybrid environments</b>.</p></li><li><p>
Advanced <b>Kubernetes</b> skills for orchestration and scaling.</p></li><li><p>
Database expertise in <b>SQL (PostgreSQL/MySQL)</b> and <b>NoSQL (MongoDB/DynamoDB)</b>.</p></li><li><p>
Proven ability to design and manage <b>APIs and microservices</b> (REST, GraphQL).</p></li><li><p>
DevOps proficiency with <b>Docker, CI/CD pipelines, and infrastructure automation</b>.</p></li></ul><h4 class="jobSectionHeader"><b>
Cloud &amp; Infrastructure</b></h4><ul><li><p>
Deep knowledge of <b>AWS, Azure, or GCP</b> with ML/AI services.</p></li><li><p>
AWS expertise highly valued: <b>SageMaker, Bedrock, Lambda, API Gateway</b>.</p></li><li><p>
Strong grasp of <b>hybrid cloud architectures</b> integrating AI/ML workloads.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Proven Delivery</b></h3><ul><li><p><b>
7+ enterprise-scale projects</b> successfully delivered in AI/ML and enterprise systems.</p></li><li><p>
Demonstrated <b>team leadership</b> experience with measurable outcomes.</p></li><li><p>
Strong focus on delivery excellence, scalability, and long-term maintainability.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
(Preferred) Certifications in <b>AWS/Azure/GCP</b> (Solutions Architect, ML Specialty).</p></li><li><p>
Excellent <b>communication and stakeholder management</b> skills.</p></li><li><p>
Solid experience in <b>Agile/Scrum leadership</b>, driving productivity and team performance.</p></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Ideal Candidate Profile</b></h3><ul><li><p><b>
Priority expertise:</b></p><ul><li><p><b>
Generative AI Leadership</b></p></li><li><p><b>
AI/ML Foundation</b></p></li><li><p><b>
Enterprise Architecture &amp; Hybrid Deployments</b></p></li></ul></li><li><p>
A <b>strategic leader</b> with hands-on depth, able to innovate, mentor, and deliver at scale.</p></li></ul><p>
</p><p>CXXqEBrHLL</p></div>

GenAI & AgenticAI Architect - AbuDhabi

D4 Insight

<div><p><b>We&rsquo;re Hiring: AI Solution Architect</b><br>
<b>Location:</b> Abu Dhabi<br>
<b>Salary:</b> AED 30K+ (based on experience and interview)<br>
<b>Experience:</b> 8+ Years</p>
<p><b>
About the Role:</b><br>
We are looking for an accomplished <b>AI Solution Architect</b> to design and deliver <b>AI, ML, and Generative AI solutions</b> at enterprise scale. The ideal candidate will bring deep technical expertise in modern AI architectures, system integrations, and LLM-driven applications &ndash; with the ability to translate complex business needs into scalable, secure, and high-performing AI solutions.</p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li><p>Architect, design, and deploy <b>AI/ML and GenAI solutions</b> across diverse business domains and hybrid environments.</p>
</li>
<li><p>Develop and integrate <b>APIs, microservices, and enterprise-grade AI systems</b>, ensuring alignment with architecture standards.</p>
</li>
<li><p>Translate business requirements into <b>scalable technical architectures</b> for AI/ML and Generative AI use cases.</p>
</li>
<li><p>Design and implement <b>Conversational AI systems</b>, including <b>intelligent chatbots and virtual assistants</b> powered by <b>Large Language Models (LLMs)</b>.</p>
</li>
<li><p>Build and deploy <b>GenAI applications and intelligent agents</b>, integrating them with enterprise systems through <b>APIs and event-driven architectures</b>.</p>
</li>
<li><p>Lead end-to-end <b>GenAI solution design</b>, focusing on <b>performance, cost, security, and scalability</b>.</p>
</li>
<li><p>Orchestrate <b>agentic workflows</b> using frameworks such as <b>LangChain, Semantic Kernel, or custom orchestration layers</b>.</p>
</li>
<li><p>Manage the <b>LLM lifecycle</b>, including fine-tuning, versioning, rollback, and secure access through enterprise identity systems.</p>
</li>
<li><p>Apply <b>MLOps practices</b> to streamline model deployment, monitoring, and lifecycle management.</p>
</li>
<li><p>Design and deploy <b>cloud-native AI/ML solutions</b> on <b>Azure or AWS</b>, leveraging <b>serverless architectures and cost optimization strategies</b>.</p>
</li>
<li><p>Collaborate with cross-functional teams &ndash; <b>enterprise architects, cloud engineers, and security teams</b> &ndash; to ensure compliance, scalability, and secure deployments.</p></li></ul><br>
<p>
</p><p><b>Required Skills &amp; Expertise:</b></p>
<ul>
<li><p>Proven hands-on experience in <b>AI/ML and Generative AI architecture and solution design</b>.</p>
</li>
<li><p>Strong understanding of <b>LLMs, MLOps, API integrations, and hybrid system architecture</b>.</p>
</li>
<li><p>Expertise in <b>cloud AI services</b> (Azure AI, AWS Sagemaker, Bedrock, etc.).</p>
</li>
<li><p>Familiarity with <b>LangChain, Semantic Kernel, and modern AI orchestration frameworks</b>.</p>
</li>
<li><p>Excellent problem-solving, communication, and stakeholder management skills.</p>
</li>
</ul> <p><b>Apply Now.</b></p></div>

AI Solution Architect

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>04/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

Visionary Tech Services LLC

<div><p>We are undertaking an AI Transformation Assessment to define the strategic, financial, and operational foundations for becoming an AI-Empowered media organisation.</p><p>
The assessment will evaluate the current state, identify high-value AI use cases across departments, quantify the investment and ROI, and deliver a Business &amp; Investment Case supported by a prioritised Implementation Roadmap.</p><p>
A multidisciplinary team &mdash; including business, financial, media, and technical experts &mdash; will collaborate with stakeholders to produce actionable insights, establish readiness for AI adoption, and guide the transition toward data-driven, automated, and scalable operations.</p><p>
We are seeking an Infrastructure &amp; AI Cloud Solution Architect to design, assess, and recommend the scalable, secure, and cost-efficient infrastructure architecture required to support AI workloads across Customer&rsquo;s cloud and on-prem environments. The role ensures the AI Transformation Assessment captures realistic technical dependencies, cost implications, and readiness gaps&mdash;bridging strategy and implementation planning.
</p><p>It will work with the Customer Technology Office to align and re-enforce architecture standards for integration of third-party services; optimising performance and cost-efficiency for the chosen AI platforms and technologies.</p><p><b>
Expected Outcomes of this role</b></p><ul><li>A validated <b>infrastructure assessment</b> report outlining current capabilities, gaps, and readiness for AI workloads.</li><li>A proposed <b>target architecture design</b> and roadmap supporting the AI Transformation Plan.</li><li>Cost and effort inputs feeding into the <b>Business &amp; Investment Case</b>.</li></ul><p>
Documented <b>recommendations and risks</b> for infrastructure scalability, resilience, and vendor integrations.</p><p><b>
Key Duties &amp; Responsibilities:</b></p><p><b>
Design and maintain complex financial models</b> capturing cost structures, effort estimates, productivity gains, and long-term ROI across multiple departments.</p><p><b>
Conduct baseline financial assessments</b> of current operations, identifying cost inefficiencies and potential automation savings.</p><p><b>
Develop scenario projections</b> (Conservative, Base, Ambitious) that illustrate investment pathways, payback periods, and breakeven points.</p><p><b>
Quantify tangible and intangible benefits</b>, including efficiency gains, risk reduction, workforce redeployment, and audience growth impact.</p><p><b>
Consolidate all quantitative findings</b> into a robust and defensible <b>Business &amp; Investment Case</b>, supported by sensitivity and risk analyses.</p><p><b>
Partner </b>with the AI Project Manager, Business Analysts, Technical SMEs, and Department Heads to validate assumptions and align financial outputs with operational realities.</p><p><b>
Prepare executive-ready dashboards and summaries</b>, translating analytical results into actionable insights for decision-makers.</p><p><b>
Support Steering Committee presentations</b> by articulating key financial narratives, trade-offs, and recommendations.</p><p><b>
Requirements</b></p><p><b>
10+ years</b> of experience in infrastructure or cloud architecture.</p><p>
Hands-on experience working in <b>data, or digital transformation projects</b>.</p><p>
Demonstrated strong expertise in designing <b>AI/ML-ready environments</b>, including Cloud GPU/compute orchestration, data pipelines, and storage optimisation.</p><ul><li>Strong background in <b>hybrid cloud architecture</b> (cloud + on-prem integration) and API-driven ecosystems.</li><li>Proven ability to translate business and AI requirements into <b>scalable technical designs and cost-efficient infrastructure solutions</b>.</li><li>Excellent understanding of <b>security, compliance, and data governance</b> in enterprise AI deployments.</li><li>Exceptional communication skills, with the ability to collaborate across technical and non-technical stakeholders.</li></ul><p></p><p><b>
Desirable Qualifications / Skills:</b></p><p></p><ul><li><br>
Active <b>Cloud Certifications</b> in Microsoft Azure and <b>AWS </b>(Professional-Level)</li><li>Hands on<b> AWS Cloud Design</b> and implementation.</li><li><b>Natural Language Processing (NLP):</b> process queries, and generate human-like text responses &ndash; Including Sentiment Analysis applications</li><li>Experience with <b>MLOps, DataOps, or automation frameworks</b> is highly desirable.</li><li><b>Generative AI Expertise:</b> Experience designing and architecting AI Infrastructure with LLMs, text-to-image/video, and creative AI tools for media workflows.</li><li><b>Data &amp; MLOps:</b> Strong in ETL pipelines, real-time streaming, and ML lifecycle management architecture design.</li><li><b>Media Infrastructure Knowledge:</b> Understanding of MAM/DAM systems, metadata, transcoding, and integration of streaming protocols is a plus</li><li><b>Cloud &amp; GPU Architecture:</b> Skilled in multi-cloud (AWS/Azure/GCP) and GPU-based AI infrastructure design within Air-Gapped sovereign environments</li></ul></div>

Infrastructure & AI Cloud Solution Architect

Yokogawa

<div><div>Not just a job, but a career</div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div>
About the Team<br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div>
Job Purpose</div><ul><li>
In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</li><li>
Design and develop AI /ML models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.</li><li>
Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization</li><li>
Use AI /ML to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.</li><li>
Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.</li><li>
To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets</li></ul><div></div><div>
Key Responsibilities &amp; Accountabilities</div><ul><li>
Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.</li><li>
Define the AI/ML strategy and roadmap for oil &amp; gas solutions, aligning with Yokogawa&rsquo;s digital transformation objectives.</li><li>
Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.</li><li>
The objective is to understand your customer&rsquo;s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.</li><li>
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.</li><li>
Make strategy, implement initiatives &amp; measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty &amp; post-delivery support for YUAE business.</li><li>
Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.</li><li>
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.</li></ul><div></div><div><div>
Qualification and Experience</div></div><ul><li>
A bachelor&rsquo;s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master&rsquo;s degree is preferable.</li><li>
Minimum 15 years of experience.</li></ul><div></div><div>
Competencies</div><ul><li>
Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.</li><li>
Perform model performance tuning to ensure reliability and scalability under production environments.</li><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.</li><li>
Proactively addresses potential risks related to data privacy, model bias, and operational safety.</li><li>
Capable of managing field surveys, designing automation functions, and ensuring compliance with project quality standards.</li><li>
Capable of overseeing multiple projects, ensuring the successful delivery of projects involving advanced automation technologies including AI/ML and managing all aspects of project execution</li><li>
Deep technical knowledge in process solutions and expertise in specialty Chemicals &amp; Process, including understanding Chemical Properties, Manufacturing Processes, Operations and Industry-specific challenges</li><li>
Stay updated on the latest trends, technologies, and regulations in the specialty chemicals &amp; Process industry and provide insights that influence product/service/solution development and strategic planning</li><li>
Customer Focus with Strategic Mindset</li><li>
Proven track record of field experience and technical skills</li><li>
Excellent verbal and written communication skills</li><li>
Good leadership skills</li></ul><div></div><div>
Skills</div><ul><li>
Knowledge and experience in implementing AI /ML Project</li><li>
Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc</li><li>
Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.</li><li>
Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li><li>
Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.</li><li>
Knowledge of working on DCS platforms.</li><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
This position is best filled by someone with a firm understanding and knowledge in AI /ML with data science background with having process Plant Operations -Onshore /Offshore/Refining -Upstream, Midstream &amp; downstream with Process Automation/Process Control in both discrete and continuous manufacturing.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

Solutions Manager -AI & ML -Digitalization Project

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