planning engineer

architect

data architect

backend engineer

document controller

database architect

Confidential

<div>
 <p>
  We're excited to be partnering with a leading institution in the UAE that is building a digital-first, AI-enabled financial services organisation from the ground up. This is a unique opportunity to join at an early stage and help shape the technology, data, and AI foundations of a business with significant institutional backing and long-term ambition. If you're passionate about data architecture, AI-ready platforms, and creating enterprise-wide data strategies, we'd love to hear from you.
 </p>
 <p>
  As Data Architect, you will be responsible for defining the bank's data strategy, target-state architecture, data products, and AI-ready data ecosystem. Working closely with Data Engineering, Data Governance, AI Engineering, Enterprise Architecture, and business stakeholders, you'll help establish the trusted data foundation that powers analytics, AI, regulatory reporting, and ecosystem-wide data sharing from day one.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  &bull; Define and maintain the bank's enterprise data strategy, target-state architecture, and data models across all business domains.
 </p>
 <p>
  &bull; Design AI-ready data foundations, including feature pipelines, vector-ready architectures, semantic layers, and end-to-end lineage.
 </p>
 <p>
  &bull; Establish the bank's data product architecture, operating model, data contracts, and interoperability standards.
 </p>
 <p>
  &bull; Design data-sharing architectures and ecosystem exchange patterns across internal and external stakeholders.
 </p>
 <p>
  &bull; Define metadata, semantic, ontology, and master data management frameworks across the organisation.
 </p>
 <p>
  &bull; Provide architecture leadership, challenge vendor designs, and ensure the target architecture is adopted across delivery teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  &bull; 10+ years of experience in Data Architecture within banking, financial services, or another highly regulated environment.
 </p>
 <p>
  &bull; Proven experience designing enterprise data platforms that support AI, machine learning, and analytics workloads.
 </p>
 <p>
  &bull; Strong expertise in cloud-based data architectures, lakehouse platforms, streaming architectures, and governed data services.
 </p>
 <p>
  &bull; Experience defining data products, semantic models, metadata architectures, and enterprise data standards.
 </p>
 <p>
  &bull; Strong knowledge of banking regulatory requirements including BCBS 239, data governance, and data protection frameworks.
 </p>
 <p>
  &bull; Experience designing ecosystem-wide data-sharing capabilities, Open Finance architectures, or enterprise-scale integration models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Ready to join us? Apply today and take the next step in your career.
 </p>
</div>


Data Architect

Damen Middle East

<p><b>Data &amp; AI Transformation Architect</b></p><p>Abu Dhabi, UAE | Full-Time</p><p>Ready to help shape the future of Data &amp; AI in a global maritime organization?</p><p>Damen is looking for an experienced <b>Data &amp; AI Transformation Architect</b> to help accelerate our journey toward becoming a truly data-driven and AI-enabled enterprise. This is a hands-on, strategic role focused on Data Architecture, Data Governance, Enterprise Data Modelling, Master Data Management (MDM), and modern Data &amp; AI platforms.</p><p><b>What You'll Do</b></p><ul><li>Lead enterprise Data &amp; AI transformation initiatives</li><li>Develop and improve enterprise data architecture and governance frameworks</li><li>Design and evolve conceptual, logical, and physical data models</li><li>Drive adoption of Data Governance, MDM, and AI best practices</li><li>Collaborate with business and technology stakeholders globally</li><li>Help shape Damen's future Data &amp; AI platform and operating model</li></ul><p><b>What We're Looking For</b></p><ul><li>10+ years of experience in <b>Data Architecture, Data Governance, MDM, Data Management, or Data Transformation</b></li><li>Strong experience with <b>Enterprise Data Modelling</b></li><li>Hands-on experience with Microsoft Azure, Fabric, Databricks, Purview, or similar technologies</li><li>Experience in manufacturing, marine, shipbuilding, engineering, construction, energy, utilities, or other asset-intensive industries</li><li>Strong stakeholder management and consulting skills</li><li>Experience driving enterprise-wide transformation and data maturity programs.</li></ul><p><b>Why Join Damen?</b></p><p>Join a global organisation investing heavily in Data, AI, and digital transformation. You'll work with international stakeholders, influence strategic initiatives, and play a key role in building a world-class Data &amp; AI capability that supports the future of the maritime industry.</p><p>Pay: AED15,000.00 - AED20,000.00 per month</p><p>Application Question(s):</p><ul><li>Has your experience been primarily limited to reporting, dashboards, business analysis, or data science without responsibility for enterprise architecture or governance? </li></ul><p>Experience:</p><ul><li>Data Architecture transformation programme: 5 years (Required)</li><li>Enterprise Data: 5 years (Required)</li></ul><p>Work Location: In person</p>

Data & AI Transformation Architect

bankfab

<div><div>Job Description</div>
<div>
 <p><b>JOB SUMMARY / INTRODUCTION
</b></p><ul><li>To lead the engineering, architecture, and run-state ownership of the bank's enterprise AI &amp; Agentic Platform, ensuring it operates as a reliable, secure, observable, and bank-grade production platform supporting agents and AI workloads across the Group.
</li><li>The role is the senior technical authority for platform engineering and architecture across the agentic runtime, model gateway, integration fabric, identity layer, and infrastructure backbone of the platform.
</li><li>It operates in a two-in-a-box model with the existing Platform Product Owner to provide concurrent technical ownership and organizational resilience for the platform, with shared accountability for platform availability, performance, cost, security posture, and architectural evolution.
</li>The role is deeply technical in nature, requiring hands-on engineering depth across distributed systems, agentic protocols, LLM infrastructure, identity and access management, and cloud-native platform engineering.<br>
<li>
 </li></ul><p></p><p><b>KEY RESPONSIBILITIES
 </b></p><p><b>Key Accountabilities &mdash; Platform Architecture<br>
</b><br>
</p><ul><li>Own the end-to-end technical architecture of the AI &amp; Agentic Platform's five-layer stack: Action Gateway, Agent Kernel, Control Plane, Knowledge Foundation, and the Users and Channels layer.
</li><li>Architect and evolve the agentic runtime to natively support the emerging multi-protocol stack: Model Context Protocol (MCP) for agent-to-tool access, Agent-to-Agent (A2A) for inter-agent coordination and task delegation, Agent Communication Protocol (ACP) and equivalent emerging standards, ensuring the platform is interoperable with hyperscaler agent fabrics (Azure AI Foundry agents, AWS Bedrock Agents, Google ADK).
</li><li>Design the platform's agent kernel, including agent lifecycle management, planning and reasoning loops, memory architecture (short-term, long-term, episodic), state management, session affinity, scratchpad persistence, and execution chains.
</li><li>Architect the platform's knowledge foundation, including vector store selection and topology, hybrid retrieval (BM25, dense, graph), embeddings strategy, knowledge graph integration (FIBO, OWL, SHACL, SPARQL), context engineering, and grounding patterns.
</li><li><p>Design the platform's control plane, including policy-gated execution, Know Your Agent (KYA) enforcement at runtime, agent registries, tool registries, capability discovery, evaluation pipelines, and tracing and lineage at agent and tool granularity.
</p><p><b>Key Accountabilities &mdash; Integrations &amp; Model Layer
</b></p></li><li>Architect and engineer the platform's LLM gateway and model abstraction layer, providing a unified interface across foundation model providers (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI, Cohere) with intelligent routing, fallback, retries, prompt and response caching, semantic caching, rate limiting, token accounting, cost attribution, and tenant isolation.
</li><li>Design model serving patterns for managed APIs, dedicated capacity (PTUs / provisioned throughput), and self-hosted open-weight models on GPU infrastructure (vLLM, TGI, Triton, or equivalent), with appropriate trade-offs across cost, latency, sovereignty, and compliance.
</li><li>Lead the integration architecture between the AI Platform and the bank's core estate, including core banking, payments, treasury, credit and risk systems, the enterprise data platform (Azure, Cloudera, Databricks), enterprise APIs, ESB, event streaming (Kafka, Event Hubs), and the data product layer.
<br>
Design the action gateway as the bank's enforcement boundary for agentic action, including API mediation, contract enforcement, circuit breakers, idempotency guarantees, transactional safety, and audit-grade action logging.
</li><li><p>Engineer the platform's tool layer and MCP server estate, including tool packaging, versioning, capability advertisement, schema enforcement, and runtime tool discovery across Wholesale, Retail, and Group functions.
</p><p><b>Key Accountabilities &mdash; Identity, Security &amp; Governance
</b></p></li><li>Architect and own the agent identity and workload identity model for the platform, including non-human identity (NHI) management, agent identity lifecycle, blended user-plus-agent identity for delegated actions, and the identity propagation chain across multi-agent flows.
<br>
Design the platform's authentication and authorization architecture, including OAuth 2.1 and OIDC flows for agent-to-tool and agent-to-API interactions, just-in-time credential issuance, short-lived token exchange, mTLS for agent-to-agent communication, and integration with the bank's enterprise IAM (Microsoft Entra ID, PAM, secrets management).
</li><li>Implement zero-trust principles across the agentic stack, including least-privilege scoping per agent and per task, real-time policy evaluation, behavioral posture checks, and continuous authorization rather than static service-account-style access.
</li><li>Engineer the platform's runtime governance controls, including KYA enforcement, prompt and output guardrails (PII, PHI, MNPI, prompt injection defense), sensitive action approval flows, and human-in-the-loop escalation patterns.
</li><li>Harden the platform to meet CBUAE, internal model risk, and Group governance requirements, including auditability, lineage, data residency, model risk controls, third-party model governance, and OWASP LLM Top 10 alignment.
</li><li>Key Accountabilities &mdash; Infrastructure &amp; Run-State
</li><li>Lead the platform's cloud and infrastructure architecture across Azure (primary) and AWS, including infrastructure as code (Terraform), networking (private endpoints, peering, egress control), Kubernetes (AKS) and container orchestration, secrets management, and CI/CD pipelines.
</li><li>Own platform Site Reliability Engineering (SRE), including SLO design, error budget management, observability (OpenTelemetry, traces, metrics, logs at agent and tool granularity), incident response, post-mortems, capacity planning, and cost governance for a growing fleet of agents and AI workloads in production.
<br>
Operate in genuine two-in-a-box with the existing Platform Product Owner, including shared on-call, shared roadmap ownership, and shared accountability for major architectural decisions, regulator conversations, and critical incidents.
</li><li>Drive engineering excellence across the platform team, including testing discipline (unit, integration, evaluation, red-teaming), documentation, infrastructure as code maturity, operational readiness reviews, and technical mentorship of platform engineers.
</li><li>Represent the platform in senior technical forums with Enterprise Architecture, Cyber, Model Risk, Internal Audit, and the Group CTTO's office on architecture and engineering matters.
</li><li><p>Engage with hyperscale, model provider, and framework vendor technical teams on platform-level integration, performance, sovereignty, and cost optimization.
</p><p><b>REQUIREMENTS / QUALIFICATIONS
</b></p><p><b>Technical Expertise
</b></p></li><li>Deep, current expertise in agentic AI architecture and the modern multi-protocol stack: Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Communication Protocol (ACP), and the engineering patterns required to build interoperable agentic systems on top of them at platform scale.
<br>
Strong hands-on knowledge of agent orchestration frameworks (LangGraph, Google ADK, LlamaIndex, Autogen, CrewAI, OpenAI Agents SDK, or equivalent), planning and reasoning loops, multi-agent coordination patterns, agent memory systems, and evaluation harnesses (RAGAS, OPIK, LangSmith, Promptfoo, or equivalent).
</li><li>Deep technical knowledge of LLM serving and inference architecture, including managed model APIs (Azure AI Foundry, AWS Bedrock, OpenAI, Anthropic, Google Vertex AI), provisioned throughput / PTUs, self-hosted open-weight models, GPU scheduling, vLLM / TGI / Triton, KV-cache management, batching strategies, and the cost-latency-quality trade-offs that drive model selection.
</li><li>Strong working expertise in LLM gateway and AI gateway architecture, including model routing, fallback and retry, prompt and semantic caching, rate limiting, tenant isolation, token accounting, and policy enforcement at the gateway boundary.
</li><li>Deep experience in retrieval and knowledge architecture, including vector databases (pgvector, Azure AI Search, Pinecone, Weaviate, Qdrant, or equivalent), hybrid retrieval, reranking, embeddings model selection, knowledge graphs (FIBO, RDF, OWL, SHACL, Neo4j, Apache Jena), and context engineering at scale.
<br>
Strong grounding in agent and workload identity, including non-human identity (NHI) governance, agent identity lifecycle, OAuth 2.1, OIDC, SPIFFE / SPIRE-style workload identity, mTLS, just-in-time credentialing, secret-less architectures, and integration with enterprise IAM (Microsoft Entra ID, Azure AD, PAM platforms).
</li><li>Deep proficiency in cloud-native platform engineering on Azure (preferred) and AWS, including Terraform, Kubernetes (AKS / EKS), Helm, service mesh (Istio, Linkerd), API gateways (APIM, Kong, Envoy), private networking, and policy-as-code (OPA, Azure Policy).
<br>
Strong programming proficiency in at least one of Python, Go, or Java, with active engagement in code reviews, design reviews, and platform-level engineering decisions.
</li><li>Strong Site Reliability Engineering background, including production on-call, incident leadership, post-mortem discipline, SLO and error-budget design, capacity planning, and observability tooling (Open Telemetry, Prometheus, Grafana, Datadog, or equivalent) tuned for non-deterministic AI workloads.
<br>
Working knowledge of integration patterns relevant to banking platforms, including event-driven architectures (Kafka, Event Hubs), API gateways, ESB, ISO 20022, payment rails, and core banking integration patterns.
</li><li>Strong grounding in security engineering for regulated industries, including OWASP LLM Top 10, prompt injection defence, model supply-chain security, secrets management, network segmentation, data residency, and audit logging.
<br>
Engineering Leadership &amp; Collaboration
</li><li>Demonstrated ability to operate effectively in a two-in-a-box model with another senior technical owner, including shared accountability, shared on-call, and shared decision-making.
</li><li>Track record of raising engineering standards across a platform team through standards, design reviews, documentation, and direct technical mentorship.
<br>
Strong written and verbal communication, with the ability to engage credibly with engineers, architects, risk and audit functions, hyperscaler and vendor technical teams, and senior business stakeholders.
<br>
Minimum Experience
</li><li>10+ years in software and platform engineering, with significant time spent at senior, staff, or principal engineering / architect level.
<br>
Demonstrated production ownership of at least one platform serving multiple internal or external consumers at enterprise scale, ideally including agentic or LLM workloads.
</li><li><p>Substantive experience in financial services, banking, or another comparably regulated industry.
<br>
Demonstrated SRE and on-call experience on a production platform with meaningful availability and operational requirements.
<br>
Track record of building, integrating, or operating LLM-based or agentic systems in production.
</p><p><b>Minimum Qualifications
</b></p></li><li><p>Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or a related technical discipline.
</p><p><b>Preferred / Beneficial
</b></p></li><li>Master's degree (MSc / MTech / MEng) in Computer Science, Software Engineering, Distributed Systems, or a related discipline preferred.
</li><li>Relevant professional certifications in cloud engineering (Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS DevOps Professional, AWS
</li><li>Solutions Architect Professional, Certified Kubernetes Administrator), security (CISSP, CCSP), or SRE considered an advantage.</li></ul></div></div><p></p>
<br><div><div>Responsibilities</div></div><div></div>
<br><div><div>Qualifications</div></div><div></div>
<br><div><div>About Us</div>
<div><div><b>About Us:<br>
</b></div><div></div><br>
<div>First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br>
</div><div></div><br>
<div><b>Life at FAB:<br>
</b></div><div></div><br>
<div>Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to &quot;Grow Stronger.&quot; We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br>
</div><div></div><br>
<div><b>Career Development:<br>
</b></div><div></div><br>
<div>FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br>
</div><div></div><br>
<div><b>Our Values:<br>
</b></div><div></div><br>
<div>At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br>
</div><div></div><br>
<div>Join our team and be part of a journey to shape the future of banking.</div></div></div><div></div>

Senior Engineer, Platform Engineering and Architecture

DICETEK LLC

<div><p><b>JOB PURPOSE:
</b></p><p>We are looking for an experienced AI Architect responsible for architecting enterprise-wide Generative AI and Agentic AI capabilities across banking systems. The role will define target architecture, integration patterns, standards, reference implementations and reusable building blocks for full-fledged AI chat assistants, autonomous agents and multi-agent workflows.</p><p>
The AI Architect will lead end-to-end architecture for agentic retail banking journeys such as payments, transfers, servicing, self-service fulfilment and customer assistance, ensuring secure integration with enterprise APIs, middleware, core banking platforms and customer-facing channels across web and mobile.</p><p>
This role requires deep hands-on AI engineering capability, strong banking domain understanding, practical delivery experience with multiple production-grade banking agents, and the ability to collaborate with product, engineering, infrastructure, cybersecurity, data, governance and enterprise architecture teams to present and align designs through ARB.</p><p></p><p><b><br>
QUALIFICATIONS &amp; EXPERIENCE:
</b></p><p><b>Minimum Qualification</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science or a related discipline.</li><li>Relevant certifications in cloud architecture, AI engineering, security architecture, enterprise architecture or machine learning are preferred.</li></ul><p></p><p><b><br>
Minimum Experience</b></p><ul><li>Senior technology professional with around 12+ years of experience across software engineering, architecture, cloud/platform engineering and enterprise solution delivery.</li><li>Minimum 4+ years of hands-on AI engineering or AI architecture experience, including Generative AI, LLM applications and Agentic AI solutions.</li><li>Proven experience architecting and delivering multiple banking agents or full-fledged banking chat assistant capabilities integrated with enterprise systems.</li><li>Strong understanding of banking systems, retail banking journeys, payments, transfers, servicing, customer self-service, operational controls and regulatory/security considerations.</li><li>Full AI Engineer capability including Python, API integration, microservices, event-driven design, RAG implementation, model/agent evaluation and cloud-native deployment practices.</li><li>Hands-on experience with agent frameworks and orchestration platforms such as Microsoft Semantic Kernel, AutoGen, LangChain, LangGraph and similar frameworks.</li><li>Experience architecting MCP servers, tool integration layers, agent-to-agent communication, UI integration patterns and agent interoperability protocols such as MCP, A2A and A2UI.</li><li>Strong experience with Azure AI services, Azure OpenAI Service, AWS AI services, Amazon Bedrock and related model deployment/management capabilities.</li><li>Experience designing secure AI systems with zero trust principles, identity and access controls, data protection, secure API design, PII redaction and privacy-by-design controls.</li><li>Experience presenting solution architecture, trade-off analysis, ADRs and architecture recommendations to ARB or equivalent architecture governance forums.</li><li>Experience recommending infrastructure architecture for AI platforms including compute, Kubernetes, serverless, vector databases, observability, monitoring, data pipelines and connectivity.</li><li>Strong capability to collaborate with engineering, product, cybersecurity, infrastructure, operations, data, compliance and enterprise architecture teams.</li></ul><p></p><p><b><br>
Key Technical Skills</b></p><ul><li>Enterprise Agentic AI architecture, multi-agent systems, autonomous workflows, human-in-the-loop design and full-fledged chat assistant architecture.</li><li>LLMs, prompt engineering, context engineering, memory design, tool/function calling, agent orchestration, model/agent evaluation and cost/latency optimization.</li><li>RAG architecture, semantic indexing, embeddings, vector databases, retrieval optimization, reranking, grounding, answer relevancy and explainability patterns.</li><li>MCP server architecture, tool registries, multi-tool integration, A2A, A2UI, agent interoperability protocols and AI ecosystem design.</li><li>Azure AI, Azure OpenAI, AWS AI services, Amazon Bedrock, Kubernetes, serverless, microservices, APIs, event-driven architecture and observability.</li><li>Security architecture for AI systems including zero trust, PII redaction, data masking, privacy controls, guardrails, secure logging and auditability.</li></ul><p></p><p><b><br>
Behavioural / Leadership Skills</b></p><ul><li>Strategic architecture thinking with the ability to define enterprise standards, influence platform direction and simplify complex technical decisions.</li><li>Strong stakeholder communication with the ability to present architecture options, risks, trade-offs and recommendations to senior leadership and ARB forums.</li><li>Collaborative leadership style with the ability to work across business, product, engineering, cybersecurity, data and infrastructure teams.</li><li>Hands-on problem-solving mindset, pragmatic decision making, ownership, mentoring capability and commitment to high-quality secure delivery.</li></ul><p></p><p><b><br>
Technical Competencies</b></p><ul><li>Enterprise Agentic AI architecture and banking-grade AI ecosystem design.</li><li>Retail banking agent architecture for payments, transfers, servicing and self-service workflows.</li><li>RAG, memory, context engineering, evaluation, tool orchestration and MCP server architecture.</li><li>AI security architecture, zero trust, PII redaction, guardrails, auditability and governance.</li><li>Azure and AWS AI services, cloud-native infrastructure, Kubernetes, serverless and observability for agent platforms.</li><li>Architecture documentation, ADR creation, ARB presentation and cross-team design governance.</li></ul><p></p><p><b><br>
Skills:</b> AI Architecture , LLMs , Azure AI</p></div>

AI Architect – Enterprise Agentic AI Architecture

<div><div>Job Description</div></div><div></div>
<br><div><div>Responsibilities</div><div><br>
 <p><br>
<b>JOB SUMMARY / INTRODUCTION
</b></p><ul><li>To lead the strategic design, architecture, and enterprise build-out of the bank's AI &amp; Agentic Platform capability, ensuring it serves as a trusted, scalable, and governed foundation for AI-driven decisioning, agentic automation, and enterprise knowledge across the Group.
</li><li>The role is pivotal in shaping how AI capability is built, integrated, and adopted across business units, partnering with senior business and technology stakeholders to translate the bank's AI ambition into a coherent platform and solution architecture aligned with FAB's digital, agentic, and AI roadmap, regulatory expectations, and Group strategy.
</li><li><p>The role combines deep technical authority on AI platform architecture with the strategic judgement and stakeholder reach required to direct enterprise AI capability across a tier-one bank.
</p><p><b>KEY RESPONSIBILITIES
</b></p></li><li>Define and own the target architecture for the AI &amp; Agentic Platform, covering the agentic runtime, action gateway, control plane, knowledge foundation, model gateway and abstraction, evaluation, and observability layers.
</li><li>Set and evolve the cloud architecture for AI workloads across Azure and AWS, including hybrid model serving, inference economics, network and identity design, data residency, and the build-versus-buy positioning across managed services and bank-built capabilities.
</li><li>Lead the integration architecture between the AI Platform and the bank's core estate, including core banking, risk and credit systems, treasury and finance platforms, the enterprise data platform (Azure and Cloudera), enterprise APIs, ESB, and identity services.
</li><li>Establish and govern the engineering, architectural, and AI engineering standards adopted across the AI Platform team, including reference patterns, agent and tool contracts, runtime governance hooks, evaluation discipline, and integration with model risk.
</li><li>Shape FAB's multi-year AI capability direction, including build-versus-buy positioning, foundation model strategy, proprietary capability investment, and platform evolution in response to changes in the agentic AI and regulatory landscape.
</li><li>Partner with the Senior, Platform Engineering and Architecture lead in a two-in-a-box operating model, with a clear separation between platform direction, target architecture, and enterprise positioning (this role) and platform engineering execution and run-state.
</li><li>Build enterprise AI capability across the Group through reference architectures, standards, communities of practice, internal forums, and direct mentorship of senior engineers and architects across DAAI and the wider technology function.
</li><li>Engage business heads and their CIOs across Wholesale Banking, Personal Banking, Private Banking, Treasury, Risk, and Group Finance to shape how AI is integrated into their operating models, beyond individual use cases.
</li><li>Represent the AI &amp; Agentic Platforms function in forums with Group Technology, Enterprise Architecture, Cyber, Model Risk, Internal Audit, CBUAE, and external regulators on matters of AI architecture, governance, and trusted agentic operations.
</li><li>Manage strategic technology partnerships with hyperscalers, foundation model providers, agentic framework vendors, and SI partners on terms that protect
</li><li>FAB's intellectual property, capability, and optionality.
</li><li><p>Represent FAB externally in industry forums, regulator working groups, and peer banks, contributing to the Group's thought leadership on enterprise agentic AI.
</p><p><b>REQUIREMENTS / QUALIFICATIONS
</b></p><p><b>Technical Expertise
</b></p></li><li>Deep, current architectural knowledge of agentic AI systems, including the layered protocol stack (MCP for tool access, A2A for inter-agent coordination, ACP and emerging agentic standards), orchestration frameworks (LangGraph, Google ADK, LlamaIndex, Autogen, CrewAI, or equivalent), planning and reasoning patterns, multi-agent systems, evaluation, observability, and runtime governance.
</li><li>Strong working knowledge of foundation model architecture and integration patterns, including managed model APIs (Azure AI Foundry, AWS Bedrock, Google Vertex AI), open-weight model serving, model gateway design, prompt and context management, RAG, fine-tuning, and the cost-quality-latency trade-offs across model selection.
</li><li>Cloud architecture fluency on Azure and AWS at enterprise scale, covering networking, identity, data, model serving, inference cost management, and hybrid deployment patterns.
</li><li>Proven expertise in integrating AI and data platforms into the core estate of a bank or comparably regulated enterprise, including core banking systems, risk and credit platforms, enterprise data platforms (Azure, Databricks, Cloudera), APIs, ESB, and identity layers.
</li><li><p>Strong grounding in software and platform engineering, with ongoing hands-on credibility in architecture reviews, prototyping, and critical design decisions.
<br>
Working knowledge of AI governance, model risk management, and regulatory expectations applicable to AI in financial services, including CBUAE, EU AI Act, NIST AI RMF, and equivalent global frameworks.
</p><p><b>Strategic &amp; Leadership Skills
</b></p></li><li>Demonstrated ability to influence at executive level, including business heads, Group CTTO / CIO, board-level forums, and external regulators.
<br>
Strong stakeholder management across business, technology, risk, audit, and external partner ecosystems.
</li><li><p>Track record of building enterprise capability through standards, communities of practice, and the development of senior engineering and architecture talent.
<br>
Ability to navigate ambiguity, manage competing priorities across multiple business units, and translate strategic intent into deliverable platform architecture.
<br>
Excellent written and verbal communication, with the ability to engage equally credibly with engineers, business heads, and regulators.
</p><p><b>Minimum Experience
</b></p></li><li>12+ years in software, platform, or AI engineering and architecture, with significant time spent at principal, staff, or distinguished engineer / architect level.
</li><li>Demonstrated architectural ownership of at least one large-scale AI, data, or platform programme in production at enterprise scale.
</li><li>Substantive experience in financial services, banking, or another comparably regulated industry.
</li><li><p>Track record of partnering with executive-level stakeholders across business and technology functions.
</p><p><b>Minimum Qualifications
</b></p></li><li>Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or a related quantitative discipline.
<br>
Preferred / Beneficial
</li><li>Master's degree (MSc / MTech / MEng) in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline preferred.
<br>
Relevant professional certifications such as cloud architecture (Azure Solutions Architect Expert, AWS Solutions Architect Professional), TOGAF, or equivalent considered an advantage.
</li><li>Doctoral qualification (PhD) in a relevant discipline considered an advantage but not required.</li></ul></div></div>
<br><div><div>Qualifications</div></div><div></div>
<br><div><div>About Us</div>
<div><div><b>About Us:<br>
</b></div><div></div><br>
<div>First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br>
</div><div></div><br>
<div><b>Life at FAB:<br>
</b></div><div></div><br>
<div>Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to &quot;Grow Stronger.&quot; We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br>
</div><div></div><br>
<div><b>Career Development:<br>
</b></div><div></div><br>
<div>FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br>
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<div><b>Our Values:<br>
</b></div><div></div><br>
<div>At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br>
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<div>Join our team and be part of a journey to shape the future of banking.</div></div></div><div></div>

Principal Lead, AI Platform & Solutions

Uniquie Homes Worldwide Properties LLC

<ul><li>Manage the <b>end-to-end recruitment process</b>, from identifying staffing needs to onboarding new hires.</li><li>Develop and execute <b>effective sourcing strategies</b> through job portals, LinkedIn, networking, and referrals.</li><li><b>Screen, interview, and shortlist</b> candidates for various real estate positions (sales agents, team leaders, admin, etc.).</li><li>Collaborate closely with hiring managers to understand role requirements and ensure cultural fit.</li><li>Maintain and update the <b>recruitment database</b> and candidate pipelines for current and future roles.</li><li>Support <b>employer branding initiatives</b> and promote the company as an employer of choice.</li><li>Ensure all hiring practices comply with UAE labor laws and company policies.</li><li>Provide regular updates and recruitment reports to management.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s degree in <b>Human Resources, Business Administration, or related field</b>.</li><li><b>2&ndash;5 years of recruitment experience</b> in the <b>real estate industry</b> within the UAE.</li><li>Strong understanding of <b>real estate roles and market dynamics</b>.</li><li>Excellent communication, negotiation, and interpersonal skills.</li><li>Proficiency in <b>LinkedIn Recruitment</b>, job portals, and social media sourcing.</li><li>Fluency in <b>Arabic</b> is required, English is plus</li></ul><p>Work Location: In person</p>

HR Recruiter-Arabic Speak

New York University

<div>Position Summary:
<div><b>
Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</b></div><div></div><div><br>
New York University Abu Dhabi (NYUAD) seeks to appoint an Administrative Assistant reporting to the Campaign Manager, Institutional Advancement.</div><div></div><div><br>
The Administrative Assistant serves as a pivotal member of the Institutional Advancement (IA) team, providing critical administrative and operational support across a range of<br>
development activities, including fundraising, stewardship, alumni relations, and events.</div><div></div><div><br>
Working closely with the Campaign Manager, Office Manager and front-line fundraisers, the role helps ensure efficient office operations, accurate donor records, successful engagement activities, and exceptional service to alumni, donors, volunteers, and university stakeholders.</div><div></div><div><b><br>
Job Responsibilities:</b></div><div></div><div><i><br>
Logistics Coordination</i></div><ul><li>
Manage event bookings, RSVP tracking, room setup, preparing agendas, taking meeting minutes, scheduling meetings, and catering requests for alumni and donor stewardship /cultivation events.</li></ul><div><i>
Operational Support</i></div><ul><li>
Provide on-site logistical support before, during, and after events, including registration, guest reception, room setup, vendor coordination, and issue resolution</li><li>
Assist with event management, including welcoming visitors and directing constituents. Provide general administrative oversight for the events programme</li></ul><div><i>
Gift Processing and Records</i></div><ul><li>
Support the Office Manager when required, with ensuring that all donations are accurately recorded in the relational database (BBCRM) in a timely manner</li><li>
Process gifts, pledges, and donor-related transactions, including linking gifts to appropriate proposals</li></ul><div><i>
Office Management</i></div><ul><li>
Maintain inventory of office supplies</li><li>
Oversee filing systems and ensure the successful execution of daily administrative tasks</li></ul><div><i>
Database Management</i></div><ul><li>
From time to time, provide front-line fundraisers to update donor records with contact reports and prospect plans</li></ul><div><i>
Donor Acknowledgment</i></div><ul><li>
Support the Stewardship Co-ordinator to prepare and distribute formal acknowledgment letters, and bespoke stewardship materials</li></ul><div><i>
Volunteer Engagement</i></div><ul><li>
Support board and volunteer engagement activities, including the preparation and distribution of meeting materials and follow-up communications</li></ul><div><i>
Team member support</i></div><ul><li>
Support the team in proactively maintaining electronic calendars and coordinating travel and administrative logistics</li></ul><div><i>
Financial Coordination</i></div><ul><li>
Process invoices, expense reimbursements (via Concur), and purchase requisitions</li></ul>
Qualifications:
<div><b>
Required Education</b></div><ul><li>
Bachelor's Degree or equivalent</li></ul><div><b>
Required Experience</b></div><ul><li>
1+ years of administrative experience, preferably in a fast-paced environment, working with events and general administrative functions</li><li>
Proficiency in Microsoft Office Suite (Word, PowerPoint) and Google Apps (Gmail, Calendar, Drive)</li><li>
Intermediate Microsoft Excel Skills</li><li>
Experience navigating and managing</li><li>
Excellent attention to detail and demonstrated accuracy in data entry and document preparation, and proficiency with word processing functions</li><li>
Due to the nature of the role, there will be some evening &amp; weekend work required</li></ul><div><b>
Preferred Education</b></div><ul><li>
Monday.com</li><li>
Familiarity with CRM databases</li><li>
Proficient in Microsoft Office and Google Docs (Word, Excel and PowerPoint)</li><li>
Experience with using design tools such as Canva</li><li>
Familiarity with AI tools such as Notebook LLM, Gemini and/or ChatGPT to seek efficiencies in the work that we do</li></ul><div><b>
Preferred Knowledge, Skills and Abilities</b></div><ul><li>
Strong verbal and written communication skills with the ability to draft professional correspondence</li><li>
High level of discretion and judgment when handling confidential donor information and sensitive financial data</li><li>
Ability to manage multiple priorities and meet firm deadlines in a collaborative team environment</li><li>
Strong organisational skills with exceptional attention to detail</li><li>
Adaptable and resourceful, with the ability to respond effectively to changing priorities in afast-paced environment</li><li>
General administrative support</li><li>
Experience with management of events and meetings</li><li>
Experience in managing complex projects from start to finish</li>
Willingness to work evenings and weekends in support of the wider department as required<br>
<li>
</li></ul>
Additional Information:
<div>
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.</div></div>

Administrative Assistant - Institutional Advancement

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