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Job Title: Data Architect – Ontology & Palantir Foundry Location: Remote Employment Type: Full-time About Us Our client is a leading AWS Premier Consulting Partner with over 400 tech professionals across the US, Canada, Dubai, and Asia. We specialize in delivering cutting-edge cloud, data, and AI/ML solutions to global enterprise clients. Job Description We are seeking experienced Data Architects with a strong background in Ontology Modeling and hands-on expertise in Palantir Foundry . The ideal candidates will play a key role in architecting scalable data solutions, developing semantic data models, and driving enterprise-wide data integration and governance initiatives. Key Responsibilities Design and implement ontology-driven data models to support complex analytical and operational use cases Architect and manage large-scale data pipelines and transformations within Palantir Foundry Collaborate with stakeholders to translate business needs into semantic models and data solutions Work closely with data engineering and data science teams to ensure data quality, consistency, and accessibility Lead efforts in metadata management, data lineage, and knowledge graph modeling Required Skills & Experience 7+ years of experience in data architecture, data modeling, or semantic technologies Strong expertise in Ontology modeling (OWL, RDF, SPARQL, SKOS, etc.) Proven hands-on experience with Palantir Foundry, including ontology management, pipelines, and code workbooks Familiarity with knowledge graphs, semantic web standards, and enterprise data governance Excellent communication and stakeholder management skills Preferred Qualifications Experience working with cloud-native data platforms (AWS preferred) Prior work in healthcare, finance, or government domains is a plus AWS certifications or equivalent cloud certifications are advantageous Why Join Us? Work with a global leader in AWS data transformation projects Flexible remote work setup Opportunity to work on high-impact, mission-critical projects with Fortune 500 clients Skills: cloud-native data platforms,data architecture,palantir foundry,ontology modeling,semantic technologies,knowledge graphs,data governance,data,palantir,ontology,data modeling

Senior GenAI & Agentic AI Expert (Architect) – Remote (Initial Onsite in Dubai) Location: Remote (Initial 1–2 months in Dubai, and then remote from India) T ype: Full-time | Long-term | Direct Client Hire Client: AWS Consulting Partner with 400+ engineers globally About The Role Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has 10 to 15+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . The selected candidate will work remotely, but must be available to relocate to Dubai for the first 4–8 weeks (expenses covered) for onboarding and collaboration. Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to initial relocation to Dubai for 1–2 months, followed by remote work from Pakistan/India Why Join? Work with a globally recognized AWS Consulting Partner Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and Pakistan Flexible remote work after Dubai onboarding Competitive compensation + long-term career roadmap Skills: agentic ai,artificial intelligence,vector programming,langchain,llm frameworks,language modeling,openai,generative ai,autogpt,llama2,semantic kernel,vector databases,prompt engineering

Senior DevOps (Azure, Terraform, Kubernetes) Engineer Location: Remote (Initial 2–3 months in Abu Dhabi office, and then remote from India) T ype: Full-time | Long-term | Direct Client Hire Client: Abu Dhabi Government About The Role Our client, UAE (Abu Dhabi) Government, is seeking a highly skilled Senior DevOps Engineer (with skills on Azure, Terraform, Kubernetes, Argo) to join their growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud Azure DevOps practices. Key Responsibilities Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps, AKS Develop and maintain Infrastructure-as-Code using Terraform Manage container orchestration environments using Kubernetes Ensure cloud infrastructure is optimized, secure, and monitored effectively Collaborate with data science teams to support ML model deployment and operationalization Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) Build and maintain automated ML pipelines to streamline model lifecycle management Required Skills 7+ years of experience in DevOps and/or MLOps roles Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Strong expertise in Terraform and cloud-native infrastructure (AWS preferred) Hands-on experience with Kubernetes, Docker, and microservices Solid understanding of cloud networking, security, and monitoring Scripting proficiency in Bash and Python Preferred Skills Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines Knowledge of model performance monitoring and ML system reliability Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP Skills: argo,terraform,kubernetes,azure

Job Title: Azure DevOps Engineer (MLOps) - Lead Location: Remote (with initial 2-3 months of travel to AbuDhabi, UAE office is a MUST, and then can continue from India remotely) Employment Type: Full-time About The Role Our client, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps / MLOps Engineer (Azure, Terraform) to join their growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing MLOps solutions at scale. Key Responsibilities Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps Develop and maintain Infrastructure-as-Code using Terraform Manage container orchestration environments using Kubernetes Ensure cloud infrastructure is optimized, secure, and monitored effectively Collaborate with data science teams to support ML model deployment and operationalization Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) Build and maintain automated ML pipelines to streamline model lifecycle management Required Skills 7+ years of experience in DevOps and/or MLOps roles Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Strong expertise in Terraform and cloud-native infrastructure (AWS preferred) Hands-on experience with Kubernetes, Docker, and microservices Solid understanding of cloud networking, security, and monitoring Scripting proficiency in Bash and Python Preferred Skills Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines Knowledge of model performance monitoring and ML system reliability Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP Skills: devops,bash,kubeflow,sagemaker pipelines,security,terraform,python,microservices,monitoring,tfx,kubernetes,jenkins,github actions,azure,ci/cd tools,cloud networking,azure devops,mlflow,docker

Our client is seeking a skilled OpenShift Infrastructure Administrator for a 6-month extendable, and onsite engagement at their Dubai office (banking client). This role is focused on managing, securing, and optimizing enterprise-grade Red Hat OpenShift environments in a hybrid cloud infrastructure. The ideal candidate should possess deep expertise in OpenShift administration, infrastructure automation, and Azure cloud services. Experience with Terraform, CI/CD pipelines, and AWS will be considered a plus. Key Responsibilities Administer, maintain, and scale Red Hat OpenShift clusters in alignment with enterprise security and performance standards. Design and implement automation for provisioning and managing infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Integrate OpenShift with CI/CD pipelines for application deployments, configuration management, and infrastructure updates. Monitor system performance, perform root cause analysis, and apply performance tuning and resource optimization. Enforce security policies and high availability across OpenShift workloads using Azure-native and Kubernetes-native tooling. Collaborate with DevOps and platform engineering teams to support seamless deployment workflows and system uptime. Provide ongoing support for OpenShift platform upgrades, patching, and configuration management. Manage Terraform state, remote backends, and ensure governance across multi-environment cloud infrastructure. Stay current with Red Hat OpenShift updates, Kubernetes ecosystem developments, and cloud-native tools. Required Qualifications & Skills 10+ years of experience in infrastructure administration and DevOps, with a strong focus on Red Hat OpenShift. Hands-on expertise in Azure services, Docker, Kubernetes, and Terraform. Proficient in CI/CD pipeline design, automation, and integration with OpenShift environments. Solid understanding of IaC principles, cloud infrastructure governance, and security best practices. Bachelor’s degree in Computer Science, IT, or a related field. Experience working in regulated industries such as banking or fintech is a plus. Compensation & Benefits Salary: 17,000 per month AED salary (fixed, and non-negotiable) Visa sponsorship Medical insurance Emirates ID provided Note: We don't offer accomodation, and no family visa Skills: docker,red hat,terraform,openshift,infrastructure automation,ci/cd pipelines,azure cloud services,openshift administration,infrastructure,kubernetes

Our client is seeking a skilled OpenShift Infrastructure Administrator for a 6-month extendable, and onsite engagement at their Dubai office (banking client). This role is focused on managing, securing, and optimizing enterprise-grade Red Hat OpenShift environments in a hybrid cloud infrastructure. The ideal candidate should possess deep expertise in OpenShift administration, infrastructure automation, and Azure cloud services. Experience with Terraform, CI/CD pipelines, and AWS will be considered a plus. Key Responsibilities Administer, maintain, and scale Red Hat OpenShift clusters in alignment with enterprise security and performance standards. Design and implement automation for provisioning and managing infrastructure using Infrastructure as Code (IaC) tools such as Terraform. Integrate OpenShift with CI/CD pipelines for application deployments, configuration management, and infrastructure updates. Monitor system performance, perform root cause analysis, and apply performance tuning and resource optimization. Enforce security policies and high availability across OpenShift workloads using Azure-native and Kubernetes-native tooling. Collaborate with DevOps and platform engineering teams to support seamless deployment workflows and system uptime. Provide ongoing support for OpenShift platform upgrades, patching, and configuration management. Manage Terraform state, remote backends, and ensure governance across multi-environment cloud infrastructure. Stay current with Red Hat OpenShift updates, Kubernetes ecosystem developments, and cloud-native tools. Required Qualifications & Skills 10+ years of experience in infrastructure administration and DevOps, with a strong focus on Red Hat OpenShift. Hands-on expertise in Azure services, Docker, Kubernetes, and Terraform. Proficient in CI/CD pipeline design, automation, and integration with OpenShift environments. Solid understanding of IaC principles, cloud infrastructure governance, and security best practices. Bachelor’s degree in Computer Science, IT, or a related field. Experience working in regulated industries such as banking or fintech is a plus. Compensation & Benefits Salary: 17,000 per month AED salary (fixed, and non-negotiable) Visa sponsorship Medical insurance Emirates ID provided Note: We don't offer accomodation, and no family visa Skills: terraform,openshift administration,azure cloud services,docker,openshift,ci/cd pipelines,infrastructure,kubernetes,performance tuning,security best practices,infrastructure automation,red hat

Senior GenAI & Agentic AI Expert (Architect) Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: memory/context management,apis integration,enterprise-grade security,crewai,saas products integration,aws,semantic kernel,prompt engineering,openai,node.js,multi-agent systems,azure,databases integration,gemini,cost efficiency,embedding models,rag,autogpt,performance optimization,llm frameworks,agentic ai,generative ai,langchain,gcp,python,vector databases Show more Show less

GenAI & Agentic AI Expert (Architect) – Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join? Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: crewai,prompt engineering,openai,multi-agent systems,gemini,rag,autogpt,llm frameworks,agentic ai,generative ai,langchain,vector databases,agents