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business development director azure data ai

EPAM Systems

<div>We're looking for a Business Development Director &ndash; Azure/Data/AI to join our team in Dubai, United Arab Emirates in a hybrid working mode.
In this role, you will own business growth by driving Microsoft Azure&ndash;related opportunities across the region. You will focus on hunting for new clients, expanding our Microsoft ecosystem presence, and influencing stakeholders to deliver joint success. The position offers an opportunity to make a measurable impact on EPAM&rsquo;s cloud strategy in the UAE, working closely with industry leaders to shape cloud adoption and digital transformation across public and private sectors.
Responsibilities<ul><li>
Drive new business acquisition and revenue growth within Microsoft Azure and related data &amp; AI services
</li><li>Hunt for opportunities in both new and existing accounts through proactive business development
</li><li>Build, develop and leverage strong relationships within Microsoft and across their partner ecosystem to generate joint opportunities
</li><li>Coordinate account strategies with EPAM and Microsoft sales teams, solution consultants and delivery leads to craft compelling propositions
</li><li>Oversee the creation of proposals, RFPs/RFQs/RFIs and sales plans in collaboration with pre-sales, legal and delivery teams
</li><li>Lead joint marketing initiatives with Microsoft and internal marketing teams to support demand generation
</li><li>Act as the internal subject matter advisor on Microsoft Azure, ensuring EPAM&rsquo;s teams access early release programs and product roadmaps
</li><li>Advocate EPAM&rsquo;s capabilities within the Microsoft network, increasing partner-based lead referrals
</li><li>Organize and deliver product messaging, enablement sessions and high-level solution presentations to clients
</li><li>Maintain accurate pipeline and forecast management in alignment with internal reporting requirements
</li></ul>Requirements<ul><li>
7&ndash;12 years of experience in IT sales with demonstrated success in new business development
</li><li>Proven track record of hunting for net-new accounts and expanding business in existing accounts
</li><li>Strong knowledge of Microsoft Azure ecosystem and ability to navigate partnerships effectively
</li><li>Established network within UAE public sector clients and deep familiarity with the local IT market
</li><li>Bachelor&rsquo;s degree in business, marketing or equivalent education
</li><li>Expertise in solution selling and multi-stakeholder deal orchestration
</li><li>Exceptional communication, presentation and negotiation skills in both English and Arabic
</li><li>Ability to work independently while collaborating across distributed teams
</li><li>Experience managing the full sales cycle, including legal and commercial negotiations
</li></ul>Nice to have<ul><li>
Previous experience working for or partnering closely with Microsoft
</li><li>Familiarity with cloud transformation programs and enterprise consulting engagements</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel allowance for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li></ul></div>

Business Development Director - Azure/Data/AI

Atos

<div>
 
 About Atos Group
 
 
 
 Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. &euro;10 billion, operating in 61 countries under two brands &mdash; Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
 
 
 The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Role Purpose
 
 
 
 The CTO for the Middle East &amp; Turkey region is responsible for leading the regional technology strategy and owning the
 
 end-to-end presales and solutioning function
 
 for all Atos portfolios. The role acts as the primary technology advisor to customers and internal teams, ensuring that all solutions are innovative, competitive, and fully aligned with business growth objectives.
 
 
 
 Key Responsibilities
 
 
 
 
 Technology Strategy &amp; Innovation
 
 
 
 <ul>
 <li>
 Define and execute the technology vision for the MET region aligned with global CTO strategy.
 </li>
 <li>
 Drive adoption of Cloud, Data, AI/ML, Cybersecurity, and Digital Platforms.
 </li>
 <li>
 Translate regional market trends into relevant offerings and use cases.
 
 
 
 </li>
 </ul>
 
 Presales
 
 
 
 <ul>
 <li>
 Lead the regional presales and solution architecture function across all business lines.
 </li>
 <li>
 Own solution development for major bids, RFPs, and digital transformation programs.
 </li>
 <li>
 Ensure quality, feasibility, and competitiveness of all technical proposals.
 </li>
 <li>
 Strengthen partnerships (Azure, AWS, Google, OEMs) to support winning solutions.
 
 
 
 </li>
 </ul>
 
 Client Engagement
 
 
 
 <ul>
 <li>
 Serve as a trusted technology advisor to CIO/CTO-level stakeholders.
 </li>
 <li>
 Support key accounts with solution roadmaps, architecture planning, and technology advisory.
 </li>
 <li>
 Represent Atos in CXO engagements, technology councils, and industry forums.
 
 
 
 </li>
 </ul>
 
 Technical Governance &amp; Delivery Assurance
 
 
 
 <ul>
 <li>
 Provide architecture governance and technical oversight for large regional programs.
 </li>
 <li>
 Establish and enforce technology standards, patterns, and best practices.
 </li>
 <li>
 Act as final escalation point for critical solution or design issues.
 
 
 
 </li>
 </ul>
 
 People &amp; Capability Development
 
 
 
 <ul>
 <li>
 Lead and develop a high-performing team of architects and presales specialists.
 </li>
 <li>
 Build strong technical capability in Cloud, Data, Cyber, AI/ML, and industry domains.
 </li>
 <li>
 Strengthen certification frameworks and engineering excellence in the region.
 
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 15+ years in senior technology leadership roles (CTO / Chief Architect / Technical Director).
 </li>
 <li>
 Deep expertise in Cloud, Data, Cybersecurity, AI/ML, and modern engineering practices.
 </li>
 <li>
 Strong experience running presales and large-scale solution architecture functions.
 </li>
 <li>
 Proven engagement with senior stakeholders across Public Sector, BFSI, Energy, and Telecom.
 </li>
 <li>
 Strong commercial acumen and ability to influence at C-level.
 
 
 
 </li>
 </ul>
 
 Choose your future. Choose Atos.
 
</div>

Chief Technology Officer

GIG Gulf

<div>
 
 
 Who we are:
 
 
 
 GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 
 
 
 
 
 GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 
 
 
 
 
 GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way
 
 .
 
 
 
 
 
 
 
 Job purpose:
 
 
 
 Are you enthusiast in contributing to the business purpose of a Regional Insurance Leader? Are you Data driven, technologically savvy and hands-on Data Architect with Data Engineering exposure on AWS and Azure Cloud? Express your Passion with GIG Gulf business and IT stakeholders to:
 
 <ul>
 <li>
 define and maintain GIG Gulf IT Data standards, architectural guidelines and solutions.
 </li>
 <li>
 lead pilots, POCs and exploration of new innovative solutions, practices and patterns
 </li>
 <li>
 influence delivery of GIG Gulf Data &amp; AI projects on time, quality and budget,
 </li>
 <li>
 actively contribute to GIG Gulf&rsquo; Data &amp; AI vision and roadmap, including business case definition, project requirements, organization, and methodology,
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:
 
 
 
 
 
 Architecture
 
 <ul>
 <li>
 Lead the definition and maintenance of GIG Gulf&rsquo;s enterprise data and AI architecture and delivery roadmap
 </li>
 <li>
 Drive the data and AI architecture aligned with GIG Gulf&rsquo;s business and technology strategy
 </li>
 <li>
 Contribute to the IT Strategy Plan, including cloud, data, analytics, and AI capabilities
 </li>
 <li>
 Support selection and evolution of data and AI platforms, technologies, and strategic partners
 </li>
 </ul>
 
 
 
 
 Data &amp; AI Platform Leadership
 
 <ul>
 <li>
 Define architectural patterns for data platforms supporting analytics, reporting, AI/ML, and GenAI use cases
 </li>
 <li>
 Guide the design of AI-ready data foundations, including structured and unstructured data pipelines
 </li>
 <li>
 Ensure architectural consistency, reuse, and alignment across data, analytics, and AI solutions
 </li>
 <li>
 Work closely with information security, risk, and compliance teams to embed governance and controls
 </li>
 </ul>
 
 
 
 
 Technical Leadership
 
 
 Strong technical leader with broad and in-depth understanding of:
 
 <ul>
 <li>
 Data architecture, data modeling, and data governance
 </li>
 <li>
 Data engineering and cloud-native data platforms
 </li>
 <li>
 Analytics, BI, and AI/ML solution patterns
 </li>
 <li>
 Generative AI concepts including LLM-based solutions, retrieval-augmented generation (RAG), and vector-based retrieval architectures etc.
 </li>
 <li>
 Maintain practical knowledge of data and AI services from AWS and Azure along with modern development practices
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Technical Responsibilities:
 
 
 
 Data &amp; AI Architecture
 
 
 Function as an active, initiative‑taking Data and AI Architect for GIG Gulf initiatives:
 
 <ul>
 <li>
 Refine and maintain data and AI architecture frameworks, guidelines, and design patterns
 </li>
 <li>
 Define target-state architectures for master data (customer, product, provider, referential data)
 </li>
 <li>
 Contribute to solution and technical architecture covering:
 </li>
 <li>
 Data lakes and analytical platforms
 </li>
 <li>
 AI/ML and GenAI-enabled use cases
 </li>
 <li>
 Design architecture that support AI workloads, including (desirable):
 </li>
 <li>
 Retrieval-augmented generation (RAG) patterns
 </li>
 <li>
 Vector storage and semantic retrieval for enterprise knowledge use cases
 </li>
 <li>
 Secure integration of public or foundation models with internal data
 </li>
 </ul>
 
 
 
 
 Tangible Outcomes &amp; Delivery Focus
 
 
 Maintain a strong delivery and results orientation:
 
 <ul>
 <li>
 Contribute to the data and AI roadmap aligned to business priorities
 </li>
 <li>
 Lead implementation of data and analytics solutions on AWS (e.g., S3, Glue, Redshift, RDS, Lambda, Athena) and/or Azure (e.g., Data Lake Storage, Data Factory, Synapse Analytics, Azure Functions, Event Hubs)
 </li>
 <li>
 Oversee data modeling for OLTP and OLAP systems, including data quality, cleansing, and de-duplication initiatives
 </li>
 <li>
 Guide data engineering practices using Spark (Python, Spark SQL), data workflows and automated pipelines
 </li>
 <li>
 Support AI-enabled analytics and reporting use cases through curated data marts and BI extensions
 </li>
 <li>
 Ensure solutions are production-ready, documented, and maintainable
 </li>
 </ul>
 
 
 
 
 AI Solution Governance &amp; Integration
 
 <ul>
 <li>
 Define architectural guardrails for enterprise AI usage, including (desirable):
 </li>
 <li>
 Responsible and compliant use of LLMs and GenAI services
 </li>
 <li>
 Data access, privacy, and residency controls for AI solutions
 </li>
 <li>
 Integration patterns for AI agents and automated workflows where applicable
 </li>
 <li>
 Support evaluation and controlled adoption of AI technologies, avoiding fragmented or unmanaged deployments
 </li>
 <li>
 Ensure AI solutions are aligned with enterprise architecture, security, and regulatory requirements
 </li>
 </ul>
 
 
 
 
 Communication &amp; Stakeholder Engagement
 
 <ul>
 <li>
 Prepare clear, structured architectural proposals and decision papers with supporting rationale
 </li>
 <li>
 Communicate architectural choices to both technical and non-technical stakeholders
 </li>
 <li>
 Provide clear recommendations aligned with business outcomes and strategy
 </li>
 <li>
 Promote collaboration, reuse, and shared ownership across delivery teams
 </li>
 </ul>
 
 
 
 
 Quality &amp; Operational Excellence
 
 <ul>
 <li>
 Ensure high-quality testing, data validation, and operational readiness of data and AI platforms
 </li>
 <li>
 Support incident, problem, and defect analysis related to data and AI solutions
 </li>
 <li>
 Track and follow up on issues to ensure timely resolution and continuous improvement
 </li>
 </ul>
 
 
 
 
 People Leadership
 
 <ul>
 <li>
 Manage recruitment and onboarding of data and AI team members in collaboration with HR
 </li>
 <li>
 Set, review, and track team objectives and performance
 </li>
 <li>
 Support team development through coaching, mentoring, and targeted training
 </li>
 <li>
 Foster a collaborative culture aligned with GIG values and delivery commitments
 </li>
 </ul>
 
 
 
 
 Business / Domain knowledge requirements
 
 <ul>
 <li>
 Knowledge of Health Data industry
 </li>
 <li>
 Basic knowledge of the insurance business
 </li>
 <li>
 Basic understanding of market practices/business processes
 </li>
 <li>
 Understanding of regulatory challenges, including compliance, data privacy and residency
 </li>
 </ul>
 
 
 
 
 
 Minimum requirements of role
 
 
 
 
 Qualifications &amp; Technical Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or a related technical discipline
 </li>
 <li>
 Master&rsquo;s degree or relevant professional certifications (cloud, data, or architecture‑related) are an advantage but not mandatory
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 8 &ndash;12 years of overall experience in data architecture, data engineering, or closely related roles
 </li>
 <li>
 3-5 years in an architecture role responsible for data platforms on cloud
 </li>
 <li>
 Proven experience designing and delivering data and analytics solutions on AWS and/or Azure
 </li>
 <li>
 Experience in regulated environments (insurance, financial services, healthcare) is preferred
 </li>
 </ul>
 
 
 
 
 
 Core Skills
 
 
 <ul>
 <li>
 Data Architecture &ndash; Ability to define conceptual, logical, and physical data architectures aligned to business strategy
 </li>
 <li>
 Cloud Data Platforms &ndash; Hands‑on experience with AWS and/or Azure data and analytics services
 </li>
 <li>
 Data Engineering &ndash; Hands on experience designing and delivering scalable ETL/ELT pipelines using Spark and Python
 </li>
 <li>
 Analytics &amp; BI &ndash; Hands on experience with analytical use cases, data marts, and BI platforms (such as Power BI or others)
 </li>
 <li>
 AI‑enabled Data Architectures (
 
 desirable
 
 ) &ndash; Hands on experience enabling AI/ML and GenAI use cases through data foundations, including exposure to LLM‑based solutions, RAG patterns, and vector‑based retrieval where applicable
 </li>
 <li>
 Data Governance &amp; Security &ndash; Strong understanding of data quality, privacy, residency, and security‑by‑design principles
 </li>
 </ul>
 
 
 
 
 
 Collaboration
 
 
 <ul>
 <li>
 Proven experience leading data or analytics teams
 </li>
 <li>
 Strong stakeholder management skills across business, IT, and control functions
 </li>
 <li>
 Ability to communicate architectural decisions clearly
 </li>
 <li>
 Comfortable working in a high‑demand, delivery‑oriented environment
 </li>
 </ul>
 
 
 
 
 
 Communication and Soft Skills
 
 
 <ul>
 <li>
 Excellent communication skills in English, both verbal and written
 </li>
 <li>
 Team player &ndash; ability to work with a team and influence a positive collaborative culture
 </li>
 <li>
 Ability to prioritize workload appropriately based on the impact on the business
 </li>
 <li>
 Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
 </li>
 </ul>
 
 
</div>

Data Architecture Manager

The Optimal Group

<div>JOB TITLE: AI Architect
LOCATION: Dubai, UAE (On-site / Hybrid)
TYPE: Full-Time
SALARY: AED 25,000 &ndash; 35,000/month (DOE) + Performance Bonus
ABOUT THE ROLE
We are looking for a high-calibre AI Architect to lead the design, development, and deployment of AI-driven systems and solutions across our business. This is a senior, hands-on role that sits at the intersection of strategy and execution. You will be responsible for translating business objectives into scalable AI architecture, building intelligent automation systems, and driving our AI roadmap from concept to production.
KEY RESPONSIBILITIES<ul><li>Design and implement end-to-end AI architecture including machine learning pipelines, LLM integrations, and agentic AI systems</li><li>Lead the evaluation, selection, and deployment of AI platforms, models, and tools</li><li>Build and integrate AI solutions into existing infrastructure and business workflows</li><li>Develop frameworks for AI governance, performance monitoring, and continuous improvement</li><li>Collaborate with operations, product, and leadership teams to identify AI opportunities and prioritise delivery</li><li>Research emerging AI technologies and provide strategic recommendations</li><li>Ensure all AI systems comply with data security, privacy, and regulatory standards</li><li>Document architecture decisions, system designs, and technical specifications</li></ul>
REQUIREMENTS<ul><li>5+ years of experience in AI/ML architecture, solutions architecture, or a related senior technical role</li><li>Proven experience designing and deploying production-grade AI systems</li><li>Strong proficiency in Python, and familiarity with major AI/ML frameworks (TensorFlow, PyTorch, LangChain, etc.)</li><li>Hands-on experience with LLMs, RAG systems, and agentic AI frameworks</li><li>Cloud architecture experience: AWS, Azure, or GCP</li><li>Experience with API integration, microservices, and scalable system design</li><li>Strong commercial awareness &mdash; you understand how AI translates to business value</li><li>Excellent communication skills &mdash; ability to present technical solutions to non-technical stakeholders</li></ul>
NICE TO HAVE<ul><li>Experience in property, construction, or facilities management sectors</li><li>Familiarity with AI automation tools (n8n, Make, Zapier AI, etc.)</li><li>UAE residency or existing Dubai visa</li><li>Arabic language skills (not essential)</li></ul>
WHAT WE OFFER<ul><li>Competitive tax-free salary: AED 25,000 &ndash; 35,000/month</li><li>Performance-based bonus</li><li>High-autonomy role with direct access to senior leadership</li><li>Fast-moving, execution-focused environment</li><li>Opportunity to build and own the AI function from the ground up</li></ul></div>

AI Architect

PureCS

<div>
 
 
 About Us:
 
 
 
 
 
 
 Pure Health is the UAE&rsquo;s largest integrated healthcare platform, committed to elevating the nation&rsquo;s health standards through innovation, technology, and operational excellence. PureCS operates as a key technology and procurement arm within the Pure Health ecosystem, driving digital infrastructure, systems optimisation, and strategic sourcing initiatives that support large-scale national projects.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 We are seeking a seasoned Microservices Architect with extensive experience in designing and implementing distributed systems. The ideal candidate will have deep expertise in microservices architecture, API design, containerization, cloud-native solutions. This role requires strong leadership, hands-on technical skills, and the ability to guide teams in building scalable, secure, and resilient applications. The ideal candidate must have hands-on experience with modern AI orchestration frameworks and scalable system design.
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and implement microservices-based architectures for large-scale enterprise applications.
 </li>
 <li>
 Define API standards, communication protocols (REST, gRPC), and service contracts.
 </li>
 <li>
 Lead migration from monolithic systems to microservices, ensuring minimal downtime and data integrity.
 </li>
 <li>
 Architect containerized solutions using Docker and Kubernetes, including Helm for deployment
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks (e.g., CrewAI, Microsoft AutoGen, or Semantic Kernel).
 </li>
 <li>
 Implement observability practices including logging, metrics, and distributed tracing (Prometheus, Grafana, OpenTelemetry).
 </li>
 <li>
 Architect scalable solutions for the efficient handling of memory and context window limits, enabling AI agents to reliably maintain short-term state and long-term memory across stateless distributed environments.
 </li>
 <li>
 Ensure security best practices across services (OAuth2, JWT, API Gateway, rate limiting).
 </li>
 <li>
 Collaborate with product owners, developers, and DevOps teams to align architecture with business goals.
 </li>
 <li>
 Mentor engineering teams on microservices principles, domain-driven design, and event-driven architecture.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 12+ years of experience in software development with at least 5 years in microservices architecture.
 </li>
 <li>
 Strong knowledge of distributed systems, service discovery, and API management.
 </li>
 <li>
 Exposure to MLOps and AI system observability.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and Helm for container orchestration.
 </li>
 <li>
 Design multi-agent workflows that interact seamlessly with existing enterprise APIs using LangGraph or similar agent orchestration frameworks such as CrewAI, Microsoft AutoGen, or Semantic Kernel.
 </li>
 <li>
 Proficiency in designing RESTful and gRPC APIs, and implementing API gateways
 </li>
 <li>
 Enhance information architecture using Knowledge Graphs (e.g., Neo4j, Amazon Neptune, or GraphDB) to improve semantic data retrieval, enrich RAG pipelines, and ground data for use in complex agentic workflows.
 </li>
 <li>
 Hands-on experience with LLM-based applications and agentic frameworks.
 </li>
 <li>
 Expertise in cloud platforms (AWS, Azure, GCP) and cloud-native patterns.
 </li>
 <li>
 Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ), and data consistency strategies.
 </li>
 <li>
 Strong understanding of security, scalability, and fault-tolerance in distributed systems.
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Experience with service mesh technologies (Istio, Linkerd).
 </li>
 <li>
 Familiarity with domain-driven design (DDD) and CQRS patterns.
 </li>
 <li>
 Knowledge of advanced observability and chaos engineering practices.
 </li>
 <li>
 Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and Infrastructure as Code (Terraform, Ansible).
 </li>
 </ul>
 
 
</div>

Backend Lead - Microservices Architect

Dicetek LLC

<div>
 
 Professional Qualifications (Desired)
 
 
 
 <ul>
 <li>
 Professional certification in Project Management (PMP) and Program Management (PgMP)
 </li>
 <li>
 ITIL V4 (F)/ HDI-SCTL
 </li>
 <li>
 Database Trainings and certifications in MS SQL/Oracle/DB2/MySQL/Postgres.
 </li>
 <li>
 CompTIA A+/MTA, ITAM/CHAMP
 </li>
 <li>
 MSCA (Win 2012/2016)/AIX Tech Training/ LPIC-2/CompTIA Linux+
 </li>
 <li>
 CCENT
 </li>
 <li>
 CEH/CISSP/CompTIA-Security +
 </li>
 <li>
 CCSP, CCNA-Cloud, CCSK
 </li>
 <li>
 Formal training/Certification in MS Azure/Amazon AWS/Oracle Cloud/SAP Cloud/IBM Cloud.
 </li>
 <li>
 Digital Transformation (Any), RPA/ML/AI (Any), CAP.
 </li>
 <li>
 Certification/Training in Distributed Enterprise IT Architecture, Middleware, Web Server
 </li>
 <li>
 CSSLP, ISO 20022/ISO8583
 </li>
 <li>
 TOGAF 9.
 </li>
 <li>
 Formal Training/Certification in Banking Application Development.
 </li>
 <li>
 Formal Training/Certification in SDLC techniques.
 </li>
 <li>
 Formal Training/Certification in Business Analysis
 
 
 </li>
 </ul>
 
 Work Experience (Required)
 
 
 
 <ul>
 <li>
 Minimum 10 years of IT experience of which at least 5 years as a full stack developer, and at least 3 years as a Solution Designer, in a reputable Bank or Software vendor.
 </li>
 <li>
 Banking/financial services industry experience is essential.
 </li>
 <li>
 Practical experience in using Enterprise Architecture and Design tools.
 </li>
 <li>
 Expose to managing a small sized team of IT professionals.
 </li>
 <li>
 Experience in vendor engagement, communication and management
 </li>
 <li>
 Experience of developing and implementing digital Enterprise platforms in financial services
 </li>
 <li>
 Track record of success designing digital initiatives using agile development methodology
 </li>
 <li>
 Skilled at aligning organization and business goals and Enterprise Architecture standards
 </li>
 <li>
 Solid understanding of IT security and ability to work with security professionals to implement and support best practices
 </li>
 <li>
 Experienced with both on premise and cloud technology solutions
 </li>
 <li>
 Business process analysis and redesign experience: strong business analysis skills; process mapping; business process redesign and implementation.
 
 
 </li>
 </ul>
 
 Knowledge, Skills And Attributes (Required)
 
 
 
 <ul>
 <li>
 Good knowledge of standards and best practices and understanding of system control requirements and processes
 </li>
 <li>
 Extensive experience working with Open Source tools
 </li>
 <li>
 Cloud Architecture experience
 </li>
 <li>
 Good knowledge and experience of project management
 </li>
 <li>
 Knowledge of analytics and big data reporting platforms (Azure/AWS). Ability to understand the business and develop reporting recommendations
 </li>
 <li>
 Good knowledge and experience in banking digital applications
 </li>
 <li>
 Overall understanding of IT Infrastructure environment
 </li>
 <li>
 Good knowledge &amp; experience in Software Development Life Cycle (SDLC) stages
 </li>
 <li>
 Good command of English. Arabic language would be an added advantage.
 </li>
 <li>
 Planning and organizing skills
 </li>
 </ul>
</div>

Senior Digital Solution Designer (Enterprise Architect)

Printerpix

<div>
 
 Role Overview
 
 
 
 SYNCOMS is scaling its AI capabilities toward
 
 high-impact, production-ready systems
 
 across multiple business areas and markets.
 
 
 We are looking for a
 
 hands-on AI Team Lead
 
 who will drive
 
 execution, global coordination, workflow design, and delivery
 
 across multiple AI initiatives. This role requires someone who can
 
 combine technical understanding with strong coordination and process thinking
 
 , ensuring fast, structured, and measurable output.
 
 
 You will work directly with the
 
 Head of AI and Company Director
 
 , with a strong emphasis on
 
 daily reporting, accountability, and delivery visibility across all projects
 
 .
 
 
 
 Core Objective
 
 
 
 To ensure
 
 fast, structured, and scalable delivery of AI-driven workflows and systems
 
 , by focusing on:
 
 
 <ul>
 <li>
 Global coordination across teams.
 </li>
 <li>
 Daily execution tracking and reporting.
 </li>
 <li>
 Workflow design and process optimisation.
 </li>
 <li>
 Rapid MVP development and iteration.
 </li>
 <li>
 Efficient use of modern AI/LLM tools.
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 Global Coordination (Critical Focus):
 
 
 
 <ul>
 <li>
 Act as the central coordination point across teams in:
 </li>
 <ul>
 <li>
 Dubai
 </li>
 <li>
 UK
 </li>
 <li>
 India
 </li>
 </ul>
 <li>
 Ensure daily alignment on all projects and tasks.
 </li>
 <li>
 Follow up continuously to maintain progress and deadlines.
 </li>
 <li>
 Identify and resolve delays, inefficiencies, and blockers.
 </li>
 <li>
 Maintain clear communication across time zones.
 
 </li>
 </ul>
 
 Daily Reporting &amp; Execution Tracking (Core Requirement)
 
 
 
 <ul>
 <li>
 Provide daily reporting directly to the Company Director, including:
 </li>
 <ul>
 <li>
 Status of each project.
 </li>
 <li>
 Task-level progress.
 </li>
 <li>
 Risks, blockers, and delays.
 </li>
 </ul>
 <li>
 Track:
 </li>
 <ul>
 <li>
 Team output.
 </li>
 <li>
 Delivery timelines.
 </li>
 <li>
 Performance improvements.
 </li>
 </ul>
 <li>
 Ensure full visibility and accountability across all ongoing projects.
 
 </li>
 </ul>
 
 Workflow Design &amp; Process Optimisation
 
 
 
 <ul>
 <li>
 Design and improve AI-driven workflows across marketing and business operations.
 </li>
 <li>
 Continuously optimise processes to improve:
 </li>
 <ul>
 <li>
 Speed.
 </li>
 <li>
 Efficiency.
 </li>
 <li>
 Output quality.
 </li>
 </ul>
 <li>
 Architect workflows that can scale across multiple regions and high user volumes.
 </li>
 <li>
 Focus on practical execution over theoretical design.
 
 </li>
 </ul>
 
 Rapid MVP Development
 
 
 
 <ul>
 <li>
 Design and support MVP (Minimum Viable Product) builds within 1 week timelines.
 </li>
 <li>
 Ensure quick turnaround from concept to working solution.
 </li>
 <li>
 Iterate rapidly based on feedback and performance.
 
 
 </li>
 </ul>
 
 AI Systems &amp; LLM Utilisation
 
 
 
 <ul>
 <li>
 Support implementation and optimisation of:
 </li>
 <ul>
 <li>
 AI/ML systems.
 </li>
 <li>
 LLM-based workflows and tools.
 </li>
 </ul>
 <li>
 Ensure use of the most suitable and up-to-date models for performance and efficiency.
 </li>
 <li>
 Contribute to:
 </li>
 <ul>
 <li>
 Model fine-tuning.
 </li>
 <li>
 RAG-based workflows (basic level).
 </li>
 <li>
 Performance monitoring and improvements.
 
 </li>
 </ul>
 </ul>
 
 Product Readiness &amp; Deployment Support
 
 
 
 <ul>
 <li>
 Assist in moving solutions into production-ready environments
 </li>
 <li>
 Support:
 </li>
 <ul>
 <li>
 API integrations
 </li>
 <li>
 Testing and validation
 </li>
 <li>
 Deployment workflows
 </li>
 </ul>
 <li>
 Ensure solutions are usable, scalable, and business-ready
 
 </li>
 </ul>
 
 Team Supervision
 
 
 
 <ul>
 <li>
 Guide and coordinate junior AI engineers.
 </li>
 <li>
 Assign tasks and ensure timely completion.
 </li>
 <li>
 Maintain:
 </li>
 <ul>
 <li>
 Code quality.
 </li>
 <li>
 Structured workflows.
 </li>
 <li>
 Delivery discipline.
 
 </li>
 </ul>
 </ul>
 
 Experience
 
 
 
 
 Candidate Profile:
 
 
 
 <ul>
 <li>
 2&ndash;5 years in AI/ML, automation, or technical systems.
 </li>
 <li>
 Experience in workflow design, process optimisation, or system delivery.
 </li>
 <li>
 Exposure to team coordination or supervisory responsibilities preferred.
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Understanding of:
 </li>
 <ul>
 <li>
 AI/ML frameworks (PyTorch, TensorFlow &ndash; basic to intermediate).
 </li>
 <li>
 LLMs and AI tools (practical usage).
 </li>
 <li>
 APIs and deployment workflows.
 </li>
 </ul>
 <li>
 Familiarity with:
 </li>
 <ul>
 <li>
 Automation tools.
 </li>
 <li>
 Data pipelines and basic MLOps.
 
 </li>
 </ul>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Strong coordination and follow-up ability.
 </li>
 <li>
 Excellent reporting discipline and accountability.
 </li>
 <li>
 Ability to design and optimise workflows and processes.
 </li>
 <li>
 Execution-focused with a fast delivery mindset.
 </li>
 <li>
 Strong communication across global teams.
 
 
 </li>
 </ul>
 
 Performance Expectations (First 6 Months)
 
 
 
 <ul>
 <li>
 Establish daily reporting discipline across all projects.
 </li>
 <li>
 Ensure strong coordination across global teams.
 </li>
 <li>
 Deliver rapid MVPs (within ~1 week cycles where applicable).
 </li>
 <li>
 Improve workflow efficiency and reduce delays.
 </li>
 <li>
 Support multiple AI systems reaching production-ready stage.
 </li>
 <li>
 Enhance execution speed and process structure.
 
 
 </li>
 </ul>
 
 Compensation &amp; Incentives
 
 
 
 <ul>
 <li>
 Competitive salary aligned with AI Team Lead / Supervisor level.
 </li>
 <li>
 Performance-based bonus assessed by the Company Director.
 </li>
 <li>
 Based on:
 </li>
 <ul>
 <li>
 Delivery consistency.
 </li>
 <li>
 Speed of execution.
 </li>
 <li>
 Coordination effectiveness.
 </li>
 <li>
 Output quality.
 
 </li>
 </ul>
 </ul>
 
 Growth &amp; Opportunities
 
 
 
 <ul>
 <li>
 Work with a multinational group (35+ years established).
 </li>
 <li>
 Exposure to large-scale operations (multi-country, high user base).
 </li>
 <li>
 Opportunity to design systems impacting millions of users across multiple regions.
 </li>
 <li>
 Potential to:
 </li>
 <ul>
 <li>
 Travel to UK and other countries.
 </li>
 <li>
 Participate in international meetings and strategy discussions.
 </li>
 </ul>
 <li>
 Fast-track growth based on performance and ownership.
 
 </li>
 </ul>
 
 Final Positioning
 
 
 
 This role is ideal for someone who:
 
 
 <ul>
 <li>
 Can combine technical understanding with strong coordination skills.
 </li>
 <li>
 Is focused on execution, speed, and delivery.
 </li>
 <li>
 Can design and optimise workflows that produce real business results.
 </li>
 <li>
 Wants to grow into a senior AI delivery or leadership role.
 </li>
 </ul>
</div>

AI Project & Coordination Lead

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