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Worley

<div><p><b>About us
</b></p><p>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
</p><p><b>Purpose of the Role
</b><br>
<br>
The Senior MAC / I&amp;C Engineer is responsible for the engineering, design, review, coordination, and technical assurance of Measurement, Automation &amp; Control (MAC) and Instrumentation &amp; Control systems throughout the project lifecycle, including Concept, FEED, EPC, Commissioning, and Start-up phases. The role ensures compliance with project specifications, international standards, ADNOC requirements, and industry best practices while supporting safe, reliable, and efficient plant operations.
</p><p><b>Key Responsibilities
</b></p><ul><li>Lead the engineering and design of Instrumentation, Control, Automation, and Measurement systems for onshore and offshore Oil &amp; Gas facilities.
</li><li>Develop and review instrument datasheets, specifications, requisitions, and technical bid evaluations.
</li><li>Prepare and review P&amp;IDs, instrument index, I/O lists, control narratives, cause &amp; effect charts, shutdown logic, and loop diagrams.
</li><li>Lead the design and integration of DCS, PLC, SCADA, SIS/ESD, Fire &amp; Gas (F&amp;G), and package control systems.
</li><li>Engineer and review fiscal metering, custody transfer, flow measurement, flow computers, tank gauging, and analyzer systems.
</li><li>Coordinate multidisciplinary engineering activities with Process, Mechanical, Electrical, Civil, Piping, and Telecommunications disciplines.
</li><li>Review vendor documents and ensure compliance with project specifications and client standards.
</li><li>Support HAZOP, SIL, LOPA, FAT, SAT, and Integrated System Testing activities.
</li><li>Provide technical support during construction, pre-commissioning, commissioning, and plant start-up.
</li><li>Resolve technical queries, deviations, concession requests, and site engineering issues.
</li><li>Ensure all engineering deliverables comply with ADNOC, IEC, ISA, API, IEEE, ISO, NFPA, and international engineering standards.
</li><li>Participate in technical meetings with clients, licensors, EPC contractors, and vendors.
</li><li>Mentor junior engineers and provide technical leadership within the engineering team.
</li><li>Support project planning, scheduling, progress reporting, risk management, and technical assurance activities.
</li></ul><p><b>Min Qualification &amp; Experience
</b></p><ul><li>A bachelor&rsquo;s degree in relevant engineering or equivalent from an accredited university with a minimum of fifteen (15+) years of relevant experience in the Oil &amp; Gas or Petrochemical industry, including minimum five (5) years (preferred) in GCC region.
</li><li>Must have at least three (3) years of experience in similar position for international major Oil &amp; Gas or Petrochemical projects.
</li><li>Experience within FEED &amp; EPC experience required.
</li><li>Experience in PMC roles.
</li><li>Must have previous experience working in offshore projects
</li><li>ADNOC Project experience is required .
</li></ul><p><b>Technical Competencies
</b></p><ul><li>Instrumentation design and specification.
</li><li>Process control systems.
</li><li>Distributed Control Systems (DCS).
</li><li>Programmable Logic Controllers (PLC).
</li><li>SCADA systems.
</li><li>Safety Instrumented Systems (SIS/ESD).
</li><li>Fire &amp; Gas Detection Systems.
</li><li>Fiscal Metering and Custody Transfer Systems.
</li><li>Flow Computers and Metering Skids.
</li><li>Tank Gauging Systems.
</li><li>Process Analyzer Systems.
</li><li>Instrument Hook-ups and Loop Drawings.
</li><li>Cause &amp; Effect Matrix development.
</li><li>SIL Assessment support.
</li><li>FAT, SAT, and Commissioning.
</li><li>Vendor package integration.
</li><li>Hazardous Area Classification.
</li><li>Control Valve and Instrument sizing review.
</li><li>Industrial communication protocols (Modbus, Foundation Fieldbus, Profibus, HART, Ethernet/IP).
</li></ul><p><b>Software Knowledge
</b></p><ul><li>SmartPlant Instrumentation (SPI/INtools)
</li><li>AVEVA Engineering
</li><li>AutoCAD
</li><li>MicroStation
</li><li>Navisworks
</li><li>Microsoft Office Suite
</li></ul><p><b>Codes &amp; Standards
</b></p><ul><li>ADNOC Engineering Standards
</li><li>IEC
</li><li>ISA
</li><li>API MPMS
</li><li>AGA Standards
</li><li>ISO
</li><li>IEEE
</li><li>NFPA
</li>ATEX / IECEx<br>
<li>
</li></ul><p></p><p><b>Moving forward together<br>
</b></p><p><br>
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
</p><p>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
</p><div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Senior MAC/ I&C Engineer

Etihad Airways

<p></p><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div><div><p><b>
Join Etihad at an Exciting Time of Growth</b></p><p>
As Etihad continues its ambitious growth journey, we are looking for an experienced <b>Manager Recruitment - Engineering</b> to lead recruitment delivery across one of the most critical areas of our business.</p><p>
This is an opportunity for a recruitment leader with deep expertise in <b>aviation engineering or technical recruitment</b> who understands the unique challenges of attracting, assessing and securing highly skilled engineering talent. You will lead a team of recruiters responsible for both high-volume frontline engineering hiring and specialist technical positions, ensuring Etihad remains competitive in a highly sought-after talent market.</p><p><b>
What You'll Be Responsible For</b></p><ul><li>
Leading and developing a high-performing Engineering recruitment team.</li><li>
Creating and executing bold recruitment strategies that support Etihad's engineering growth plans.</li><li>
Acting as a strategic talent advisor to senior engineering leaders and stakeholders.</li><li>
Developing innovative attraction campaigns and sourcing strategies to engage top engineering talent globally.</li><li>
Building sustainable talent pipelines across licensed engineers, maintenance, technical operations and specialist engineering disciplines.</li><li>
Driving assessment excellence, ensuring hiring decisions are robust, objective and aligned to business requirements.</li><li>
Leveraging market intelligence and competitor insights to strengthen hiring outcomes.</li><li>
Delivering exceptional service to both candidates and hiring managers while maintaining pace and quality of hire.</li><li>
Continuously improving recruitment processes, tools and ways of working to enhance performance and efficiency.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p><b>
What We're Looking For</b></p><ul><li>
Significant experience leading <b>aviation engineering or engineering recruitment teams</b>.</li><li>
Proven expertise recruiting for both <b>high-volume frontline engineering roles and specialist technical positions</b>.</li><li>
Deep understanding of engineering talent markets, sourcing strategies and technical assessment methodologies.</li><li>
Strong people leadership experience, with a track record of managing, coaching and developing recruiters.</li><li>
Ability to build credibility and influence at senior stakeholder level.</li><li>
Experience using data, market insights and innovation to drive recruitment performance.</li><li>
Strong understanding of candidate attraction, assessment and selection best practice.</li><li>
Degree educated with extensive experience within Talent Acquisition and recruitment leadership.</li></ul><p><b>
About You</b></p><p>
You are a recognized subject matter expert in engineering recruitment with experience gained within an airline, MRO, aerospace organization or complex engineering environment. You combine strategic thinking with operational excellence, inspire high performance in your team and are passionate about finding innovative ways to attract and secure top engineering talent.</p><p>
Join Etihad and play a key role in shaping the future engineering workforce that will power the next chapter of our growth.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><div><p><b>
Recruitment Process</b></p><p>
The recruitment process for this position will involve the following steps:</p><ul><li>
All applications will be reviewed by a human-member of our Recruitment Team</li><li>
Shortlisted applicants will be invited to completed a recorded video interview via our third-party platform HireVue. This interview will allow you to record your responses to a range of questions related to the position and will allow you to demonstrate your knowledge and experience in a way that just your CV alone would not be able to. It also ensures fairness for you and all candidates, as all of our shortlisted candidates are asked the same questions and assessed on their responses.</li><li>
After a review of completed video interviews, shortlisted candidates will be invited to an initial technical interview with the hiring manager.</li><li>
Finalists will be invited to a follow up meeting with additional members of the hiring team. This interview will include the completion of a job-related case study and presentation to the hiring team.</li><li>
All candidates will be notified as to the status of their application as soon as is possible.</li></ul><div></div><p>
Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.</p><p>
To learn more visit www.etihad.com</p><p><b>
Recruitment Fraud Alert</b><br>
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.</p></div></div></div></div><p></p>

Manager Recruitment - Engineering

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

<div><p><b>About us
</b></p><p>Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.
</p><p><b>Key Responsibilities
</b></p><ul><li>Lead and manage all static equipment engineering activities during FEED, EPC, and detailed engineering phases of the project.
</li><li>Provide technical leadership for the design, specification, and procurement of static equipment, including pressure vessels, columns, heat exchangers, tanks, separators, filters, reactors, and package equipment.
</li><li>Develop and review equipment datasheets, specifications, material requisitions, technical bid evaluations, and vendor documentation.
</li><li>Ensure compliance with ADNOC standards, project specifications, and applicable international codes and standards such as ASME, API, TEMA, and ASTM.
</li><li>Coordinate with Process, Piping, Mechanical, Civil, Electrical, Instrumentation, and Procurement disciplines to ensure effective integration of static equipment requirements.
</li><li>Review and approve vendor drawings, calculations, manufacturing procedures, and inspection requirements.
</li><li>Support constructability reviews, value engineering studies, and cost optimization initiatives throughout the project lifecycle.
</li><li>Participate in design reviews, HAZOP, constructability workshops, and technical meetings with clients, vendors, and contractors.
</li><li>Monitor engineering progress and ensure deliverables are completed in accordance with project schedules, quality standards, and HSE requirements.
</li><li>Provide technical guidance, mentoring, and supervision to a team of Specialists, Senior Engineers, and Engineers.
</li><li>Interface effectively with clients, licensors, suppliers, and project stakeholders to resolve technical issues and support successful project execution.
</li></ul><p><b>Minimum Requirements
</b></p><ul><li>A bachelor&rsquo;s degree in relevant engineering discipline or equivalent from an accredited university, with a minimum of fifteen (15+) years of relevant experience in the Oil &amp; Gas or Petrochemical industry, including a minimum of five (5) years (preferred) in the GCC region.
</li><li>Must have at least five (5) years of experience in a similar position on major Oil &amp; Gas or Petrochemical projects, managing a team of Specialists, Senior Engineers, and Engineers.
</li><li>ADNOC &amp; Offshore project experience is preferred.
</li><li>PMC experiences are preferrable.
</li><li>Experience in FEED &amp; EPC Phases is required.
</li><li>Strong knowledge of international standards and codes including ASME Section VIII, API 650, API 620, API 661, API 660, TEMA, and NACE requirements.
</li><li>Experience in technical bid evaluations, vendor management, and fabrication oversight for static equipment.
</li><li>Excellent leadership, communication, and stakeholder management skills.
</li><li>Ability to work effectively within multidisciplinary and multicultural project environments.
</li></ul><p><b>Moving forward together
</b></p><p>We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard.
</p><p>And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here.
</p><div>And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.</div></div>

Specialist Static Equipment Engineer

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>
</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>

Principal Lead, AI Platform & Solutions

e7 Group

<div>
 Job description:
 <br/>
 <br/>
 <p>
  <strong>
   Senior Specialist - AI and Data Analytics
  </strong>
 </p>
 <p>
  We are seeking an experienced
  <strong>
   Senior Specialist - AI and Data Analytics
  </strong>
  to lead the development of AI-driven solutions, advanced analytics, and business intelligence capabilities across e7 Group. This role will transform enterprise data into actionable insights, enabling data-driven decision-making, operational excellence, and digital transformation initiatives.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and implement AI, Machine Learning, Generative AI, and predictive analytics solutions that deliver measurable business value.
  </li>
  <li>
   Develop advanced analytics models, dashboards, and executive reporting frameworks to support strategic and operational decision-making.
  </li>
  <li>
   Analyze structured and unstructured data to identify trends, opportunities, risks, and performance improvement initiatives.
  </li>
  <li>
   Build, deploy, and optimize machine learning models for forecasting, planning, operational efficiency, and business insights.
  </li>
  <li>
   Partner with business stakeholders to identify AI and analytics opportunities and translate requirements into practical solutions.
  </li>
  <li>
   Support enterprise data governance, data quality, reporting standards, and AI governance frameworks.
  </li>
  <li>
   Drive digital transformation initiatives through intelligent automation, analytics, and emerging technologies.
  </li>
  <li>
   Collaborate with technology vendors and internal teams to deliver scalable, secure, and compliant AI and analytics solutions.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Statistics, Mathematics, Engineering, or a related field.
  </li>
  <li>
   6-8 years of experience in AI, Data Analytics, Business Intelligence, or Enterprise Data Management, including hands-on experience delivering AI and Machine Learning solutions.
  </li>
  <li>
   Strong expertise in Artificial Intelligence, Machine Learning, Predictive Analytics, Data Modelling, and Business Intelligence platforms such as Power BI or Tableau.
  </li>
  <li>
   Advanced proficiency in Python, SQL, data engineering, and analytics solution development.
  </li>
  <li>
   Experience developing executive dashboards, reporting frameworks, and enterprise-wide analytics solutions.
  </li>
  <li>
   Good understanding of data governance, AI governance, information security, and data privacy principles.
  </li>
  <li>
   Experience with ERP environments (SAP preferred) and digital transformation initiatives is advantageous.
  </li>
  <li>
   Relevant certifications in AI, Data Analytics, Cloud AI, Machine Learning, Power BI, or related technologies are highly desirable.
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Join e7 Group and be part of a dynamic organization committed to excellence, innovation, and sustainable growth across diverse industries.
  </strong>
 </p>
</div>


Senior Specialist - AI and Data Analytics

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