solution architect

DICETEK LLC

<div><p><b>Description:</b></p><p><b>
Purpose:</b></p><p>
The SAS Fraud management system design engineer will require to manage design and Architecture various SAS Fraud Management Features including Fraud Rule, Workflow and UI configurations and other tuning and enhancements aspects.</p><p>
The candidate must be able to assist and play leading roles in production rollout.</p><p>
Mange handovers to other build and testing teams.
</p><p>The candidate would have proven experience of design and Architecture aspect of fraud management solutions for Tier 1 and 2 banks.</p><p>
This is a hands-on role, and the successful candidate would be expected to assist the project team during the life cycle of the projects and other agile/BAU work.</p><p><b>
JD - Fraud Risk &ndash; Design:</b></p><ul><li>
Analyze business requirements and translate them into effective technical solutions, ensuring alignment with functional and non‑functional requirements, enterprise architecture standards, design patterns, and the bank&rsquo;s technology roadmap.</li><li>
Lead the end‑to‑end solution design and implementation for Channel‑to‑SAS SFM integration through approved middleware, in line with bank integration architecture principles.</li><li>
In-depth technical expertise in messaging and API‑based integrations to support accelerated implementation of SAS Fraud Management solutions, including case management and reporting capabilities.</li><li>
Promote open standards &amp; cost effectiveness in support of organizational goals, objectives, and strategic requirements.</li><li>
Evaluate architecture patterns and emerging trends to recommend best‑fit solutions in compliance with the enterprise architecture governance framework.</li><li>
Understand the long term and short-term perspective of a solution along with assessing and analyzing the wide enterprise impact of the solution.</li><li>
Provide technical consultancy to different IT and business stakeholders in technology best practices and problem analysis in technology solutions.</li><li>
Maximize reuse of existing technology platforms and integration capabilities to meet business and fraud risk requirements.</li><li>
Ensure regulatory and audit requirements are attended and addressed as part of solution design and implementations.</li><li>
Ensure the solutions and their implementations aligned with Risk &amp; Compliance requirements and business continuity practices.</li><li>
Experienced in development lifecycle and different software development technology, frameworks, and design standards.</li><li>
Evaluate third‑party and vendor solutions, assessing their suitability within the bank&rsquo;s ecosystem, architecture standards, and technology roadmap.</li><li>
Analyze and resolve technical, functional, performance, and security issues, proposing robust and scalable solutions.</li><li>
expertise in end‑to‑end connectivity, data flow analysis, and integration troubleshooting across channels, middleware, and SAS FM platforms.</li><li>
Collaborate closely with delivery and support teams to ensure effective knowledge transfer and build a self‑sustaining BAU support model.</li><li>
Drive accelerated delivery while balancing technical quality and business value, minimizing delivery and operational risks.</li><li>
Ability to manage and deliver multiple regulatory and enhancement initiatives in parallel within a high‑pressure environment, ensuring timely delivery while maintaining solution quality, architectural integrity, and design standards.</li></ul><p></p><p><b><br>
Qualification &amp; Skills:</b></p><ul><li>
The candidate should possess either a graduate engineering degree or equivalent qualification.</li><li>
Excellent understanding of SAS Fraud Management with a desire to implement new solutions for the bank.</li><li>
Candidate must be technically astute and have had exposure to databases, scripting and technical interfacing capabilities using various tools / languages.</li><li>
Should have ability to work independently and within a team, and capable of timely delivery.</li><li>
Candidate must display strong verbal and written communication skills.</li></ul><p><b>
Knowledge &amp; Experience:</b></p><ul><li>
Experience in SAS Fraud management solution implementation in multiple geographical regions.</li><li>
Proven ability in leading the build and operation of complex fraud technology systems.</li></ul><p><b>
Minimum Experience</b></p><ul><li><b>
Minimum 5 years</b> of experience as a Build Engineer working in SAS Fraud Risk Solution. Minimum overall experience as SAS SFM SME should be <b>10 years </b>with latest experience in SAS SFM not being older than 2 years.</li></ul></div><p></p>

Solution Architect – SAAS SFM

Unity Infotech

<div>
 <p>
  <strong>
   Role: Senior Solutions Architect / Engineer
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;10 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Solutions Architect / Engineer will be responsible for the design, implementation,
 </p>
 <p>
  integration, and production support of Wealth Management, Brokerage, and Investment
 </p>
 <p>
  platforms. The role requires deep techno-functional expertise across wealth asset classes, trading
 </p>
 <p>
  systems, consumer banking integrations, and modern cloud-native architectures, with strong
 </p>
 <p>
  ownership of production stability, scalability, and regulatory compliance.
 </p>
 <p>
  The position demands hands-on technical leadership, proactive system resilience improvements, and
 </p>
 <p>
  24/7 on-call production support in a highly regulated financial environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <p>
  <strong>
   Mandatory
  </strong>
 </p>
 <p>
  &bull;7&ndash;10 years of experience in
  <strong>
   financial services technology
  </strong>
  , with strong focus on
  <strong>
   wealth
  </strong>
 </p>
 <p>
  <strong>
   management and brokerage platforms
  </strong>
 </p>
 <p>
  &bull;Hands-on experience in
  <strong>
   production support and system operations
  </strong>
 </p>
 <p>
  &bull;Strong analytical, troubleshooting, and problem-solving skills
 </p>
 <p>
  &bull;Excellent communication and stakeholder management capabilities
 </p>
 <p>
  &bull;Ability to work in fast-paced, regulated environments
 </p>
 <p>
  <strong>
   Desirable
  </strong>
 </p>
 <p>
  &bull;Experience working in
  <strong>
   UAE or GCC banking environments
  </strong>
 </p>
 <p>
  &bull;Exposure to
  <strong>
   digital assets Trading Platform Implementation
  </strong>
 </p>
 <p>
  &bull;Exposure to
  <strong>
   digital assets
  </strong>
  Custody Platform Implementation
 </p>
 <p>
  &bull;Cloud certifications (AWS / Azure)
 </p>
</div>


Solution Architect- Wealth Management

Microsoft

<div><b>Overview</b><div><p><br>
With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.</p><p>
We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.</p></div><div><p>
The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.</p></div><b><br>
Responsibilities</b><p></p><div><ul><li><p><br>
Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
</p></li></ul></div><div><ul><li><p>AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
</p></li></ul></div><div><ul><li><p>Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes</p></li></ul></div><div><ul><li><p>
Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations</p></li></ul></div><div><ul><li><p>
Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health</p></li></ul></div><div><ul><li><p>
Customer Impact: Improve security posture with scalable, resilient, and high-performing designs</p></li></ul></div><div><ul><li><p>
Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes</p></li></ul></div><div><ul><li><p>
Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers</p></li></ul></div><div><ul><li><p>
Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security</p></li></ul></div><div><ul><li><p>
Practice Development: Contribute to capability building across CSA community and complex solution delivery</p></li></ul></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.</p></li></ul></div><div><ul><li><p>
Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
</p></li></ul></div><div><ul><li><p>Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)</p></li></ul></div></div><div><div><ul><li><p>
Microsoft Sentinel</p></li></ul></div><div><ul><li><p>
Microsoft Entra (identity, Conditional Access, lifecycle governance)</p></li></ul></div><div><ul><li><p>
Microsoft Purview (data security, compliance, governance)</p></li></ul></div><div><ul><li><p>
Demonstrated experience securing AI‑powered workloads, including:
</p></li></ul></div><div><ul><li><p>Identity, access control, and least‑privilege enforcement</p></li></ul></div><div><ul><li><p>
Data protection and information governance</p></li></ul></div><div><ul><li><p>
Threat detection, posture management, and incident response for AI systems
</p></li></ul></div><div><ul><li><p>Hands‑on understanding of agentic architectures, including:
</p></li></ul></div><div><ul><li><p>AI agents, copilots, or autonomous systems</p></li></ul></div><div><ul><li><p>
Agent identity, lifecycle, and access management concepts</p></li></ul></div><div><ul><li><p>
Observability, logging, and behavioural monitoring for autonomous systems
</p></li></ul></div><div><p><b>Preferred Qualifications</b></p></div><div><ul><li><p>
Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms</p></li></ul></div><div><ul><li><p>
Familiarity with AI security architecture patterns, including:
</p></li></ul></div><div><ul><li><p>Secure model access and isolation</p></li></ul></div><div><ul><li><p>
Guardrails, policy enforcement, and content safety</p></li></ul></div><div><ul><li><p>
AI workload discovery and posture management</p></li></ul></div><div><ul><li><p>
Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification</p></li></ul></div><div><ul><li><p>
Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
</p></li></ul></div><div><ul><li><p>Microsoft certifications such as:
</p></li></ul></div></div><div><div><ul><li><p>SC‑100: Cybersecurity Architect</p></li></ul></div><div><ul><li><p>
SC-200: Security Operations Analyst Associate</p></li></ul></div><div><ul><li><p>
SC-300: Identity and Access Administrator Associate</p></li></ul></div><div><ul><li><p>
AI-900: Microsoft Azure AI Fundamentals</p></li></ul></div><div><ul><li><p>
AZ-500: Azure Security Engineer Associate</p></li></ul><div><p><b>
Core Skills &amp; Attributes :</b></p></div><div><ul><li><p>
Strong hands‑on engineering mindset with architectural thinking
</p></li></ul></div><div><ul><li><p>Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
</p></li></ul></div><div><ul><li><p>Comfortable working across security, AI, and platform teams
</p></li></ul></div><div><ul><li><p>Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
</p></li></ul></div><div><ul><li><p>Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem</p></li></ul></div><div><ul><li><p>
Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams</p></li></ul></div><div><ul><li><p>
Ability to engage with CISOs, security architects, and IT leadership</p></li></ul></div><div><ul><li><p>
Proven customer‑facing delivery experience</p></li></ul></div><div><ul><li><p>
The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Cloud Solution Architecture-Security

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.
 <br/>
 <br/>
 We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.
 <br/>
 <br/>
 The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
  </li>
  <li>
   AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
  </li>
  <li>
   Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes
  </li>
  <li>
   Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations
  </li>
  <li>
   Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health
  </li>
  <li>
   Customer Impact: Improve security posture with scalable, resilient, and high-performing designs
  </li>
  <li>
   Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes
  </li>
  <li>
   Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers
  </li>
  <li>
   Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security
  </li>
  <li>
   Practice Development: Contribute to capability building across CSA community and complex solution delivery
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  </li>
  <li>
   Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
  </li>
  <li>
   Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)
  </li>
  <li>
   Microsoft Sentinel
  </li>
  <li>
   Microsoft Entra (identity, Conditional Access, lifecycle governance)
  </li>
  <li>
   Microsoft Purview (data security, compliance, governance)
  </li>
  <li>
   Demonstrated experience securing AI‑powered workloads, including:
  </li>
  <li>
   Identity, access control, and least‑privilege enforcement
  </li>
  <li>
   Data protection and information governance
  </li>
  <li>
   Threat detection, posture management, and incident response for AI systems
  </li>
  <li>
   Hands‑on understanding of agentic architectures, including:
  </li>
  <li>
   AI agents, copilots, or autonomous systems
  </li>
  <li>
   Agent identity, lifecycle, and access management concepts
  </li>
  <li>
   Observability, logging, and behavioural monitoring for autonomous systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms
  </li>
  <li>
   Familiarity with AI security architecture patterns, including:
  </li>
  <li>
   Secure model access and isolation
  </li>
  <li>
   Guardrails, policy enforcement, and content safety
  </li>
  <li>
   AI workload discovery and posture management
  </li>
  <li>
   Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification
  </li>
  <li>
   Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
  </li>
  <li>
   Microsoft certifications such as:
  </li>
  <li>
   SC‑100: Cybersecurity Architect
  </li>
  <li>
   SC-200: Security Operations Analyst Associate
  </li>
  <li>
   SC-300: Identity and Access Administrator Associate
  </li>
  <li>
   AI-900: Microsoft Azure AI Fundamentals
  </li>
  <li>
   AZ-500: Azure Security Engineer Associate
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Skills &amp; Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands‑on engineering mindset with architectural thinking
  </li>
  <li>
   Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
  </li>
  <li>
   Comfortable working across security, AI, and platform teams
  </li>
  <li>
   Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
  </li>
  <li>
   Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem
  </li>
  <li>
   Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams
  </li>
  <li>
   Ability to engage with CISOs, security architects, and IT leadership
  </li>
  <li>
   Proven customer‑facing delivery experience
  </li>
  <li>
   The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.
   <br/>
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Presight

<div>
 <p>
  <strong>
   Job Description: Lead Engineer - Data Centre &amp; Smart Infrastructure
  </strong>
 </p>
 <p>
  <strong>
   Location: Abu Dhabi
  </strong>
 </p>
 <p>
  <strong>
   About Presight
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Presight &mdash; ADX-listed, G42-backed, and the region's leading GenAI analytics company &mdash; is hiring a Solution Architect who is equally comfortable drawing integration blueprints and sitting in front of a client boardroom.
 </p>
 <p>
  This is not a purely pre-sales or design role. We need someone who has lived inside data centre programmes from concept through commissioning, owned stakeholder relationships end-to-end, and can still roll up their sleeves when it matters.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Opportunity
  </strong>
 </p>
 <p>
  We are seeking a highly experienced, hands-on Lead Engineer to drive the design, integration, and delivery of complex smart infrastructure solutions across data centres, SCADA, BMS/DCIM, IoT, and enterprise AI platforms. This role demands an ideal blend of deep technical expertise and delivery leadership &mdash; someone who can own end-to-end engineering outcomes while collaborating across multi-vendor, cross-functional teams. In later project phases, the role will progressively take on project management responsibilities, steering delivery planning, stakeholder coordination, and operational handover.
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead end-to-end solution design and implementation for integrated systems spanning data centres, SCADA/OT, BMS, CCTV, access control, fire alarm, and AI/analytics platforms.
  </li>
  <li>
   Translate business requirements into scalable, secure, and high-performance architectures, ensuring alignment with business objectives and AI-driven solutions.
  </li>
  <li>
   Define and manage integration architecture across multi-vendor platforms, including APIs, middleware, data pipelines, and OT/IoT protocols (BACnet, Modbus, MQTT, REST).
  </li>
  <li>
   Develop and review high-level and low-level design documents (HLD/LLD), architectural blueprints, and vendor proposals, ensuring system feasibility and seamless cross-platform integration.
  </li>
  <li>
   Define and document data flows across systems &mdash; from IoT sensors and gateways through to DCIM/BMS, CCTV/VMS, analytics engines, and command &amp; control dashboards.
  </li>
  <li>
   Act as the technical bridge from initial design discussions through to final delivery, working closely with project managers, business analysts, architects, developers, and external partners.
  </li>
  <li>
   Coordinate with the PMO and product managers to assess resource requirements, delivery goals, and potential risks; identify risks and implement mitigation strategies to minimize impact on project quality and timelines.
  </li>
  <li>
   Oversee system integration testing (SIT), UAT, and commissioning activities, validating that delivered solutions meet performance, security, and regulatory requirements.
  </li>
  <li>
   Prepare and maintain high-quality technical documentation including architecture documents, integration diagrams, data flow diagrams, test plans, SOPs, and acceptance criteria.
  </li>
  <li>
   Provide cost modelling and technical inputs for financial forecasts, including BoMs, CAPEX/OPEX estimates, and TCO projections based on solution design.
  </li>
  <li>
   Support value engineering and scenario analysis, ensuring architecture decisions are cost-optimized, risk-aware, and aligned with budget and business case objectives.
  </li>
  <li>
   Ensure compliance with industry standards and regulations for security systems and drive adherence to security, compliance, and performance best practices, while considering long-term scalability.
  </li>
  <li>
   Cultivate a supportive team environment by valuing input from team members, mentoring junior engineers, and encouraging professional growth.
  </li>
 </ul>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in engineering, Computer Science, Information Technology, or a related field.
  </li>
  <li>
   10+ years of experience in system engineering, solution architecture, or technical lead roles within smart infrastructure, data centre, or mission-critical environments.
  </li>
  <li>
   Proven experience with OT systems integration &mdash; BMS, DCIM, SCADA, CCTV/VMS, PSIM, access control, and fire alarm systems.
  </li>
  <li>
   Strong understanding of OT/IoT protocols such as BACnet, Modbus, MQTT, and REST/HTTP APIs.
  </li>
  <li>
   Hands-on experience with multi-vendor platform integrations involving AI platforms, video management systems, connectivity, and IoT sensors.
  </li>
  <li>
   Strong understanding of edge vs. cloud-based architectures, including deployment trade-offs and performance considerations.
  </li>
  <li>
   Solid understanding of data centre concepts &mdash; power, cooling, racks, DCIM/BMS, monitoring, incident and change management.
  </li>
  <li>
   Experience with Agile/Scrum delivery practices, including backlog management and sprint planning.
  </li>
  <li>
   Exceptional interpersonal, stakeholder management, and client-facing skills, with a collaborative and empathetic approach.
  </li>
  <li>
   Strong organizational, planning, and problem-solving skills, with attention to detail and a proactive mindset.
  </li>
  <li>
   Excellent communication and documentation skills with the ability to translate complex technical concepts into business-friendly language.
  </li>
 </ul>
 <p>
  <strong>
   Preferred Experience
  </strong>
 </p>
 <ul>
  <li>
   Experience in mission-critical facilities &mdash; data centres, critical infrastructure, smart buildings, or industrial IoT environments.
  </li>
  <li>
   Exposure to digital twin platforms, 3D modelling, or BIM-based systems.
  </li>
  <li>
   Experience with AI/ML and analytics use cases for operations, security, and automation.
  </li>
  <li>
   Familiarity with cloud-native IoT platforms (e.g., Azure IoT, Kafka) and enterprise system integration.
  </li>
  <li>
   Background in system integrator firms or large-scale infrastructure delivery programmes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Working at Presight Offers
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Culture:
   </strong>
   An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
  </li>
  <li>
   <strong>
    Career:
   </strong>
   Outstanding learning, development &amp; growth opportunities via structured training programmes and innovative, high-tech projects.
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    Rewards:
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   A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
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Lead Software Engineer

Yokogawa

<div><p><b>Not just a job, but a career</b></p><p>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</p><p></p><p>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</p><p></p><p><b>
About the Team</b><br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</p><p></p><p><b>
Job Purpose</b></p><p></p><p>
The Senior AI Process Consultant is responsible for architecting AI/ML-based process solutions and leading AI-driven operational transformation across Oil &amp; Gas, Petrochemical, and other process-industry domains. Bridging deep process-operations credibility with modern AI, architecture governance, and commercial value thinking, the role owns AI/ML business outcomes, solution architecture, and implementation strategy; translating operational problem statements into scalable, auditable solutions and guiding pilot-to-scale adoption. The role collaborates with and supports the Digital Enterprise Business Unit / Solution Division to build differentiated capabilities and accelerate growth across the YMA region.</p><p></p><p><b>
Key Responsibilities &amp; Accountabilities</b></p><p></p><p><b>
1. Technical Analysis &amp; Solution Architecture</b></p><ul><li>
Perform high level technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to identify opportunities for resolving customers' process problems.</li><li>
Define solution architectures and develop detailed design specifications for complex AI solutions.</li><li>
Define functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide expert technical judgment to estimate the effort required to implement complex AI solutions.</li></ul><p><b>
2. Business Case &amp; Portfolio Development</b></p><ul><li>
Identify and develop business cases for focused AI applications and support their implementation and successful proliferation within the assigned process industry / application.</li><li>
Advise customers on suitable AI/ML solutions and provide overall business portfolio management, solution design, and demonstration functions.</li><li>
Own and drive the preparation of Feasibility Study/ Business Case reports to support the customer for FID/Budgeting approvals.</li></ul><p><b>
3. Client Engagement &amp; Relationship Management</b></p><ul><li>
Engage proactively with customers to understand expectations and ensure they are consistently met through AI/ML solutions.</li><li>
Define the overall technical approach for AI implementation, integrating simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul><p><b>
4. Project Delivery &amp; Quality Assurance</b></p><ul><li>
Own technical deliverables across the entire lifecycle of solution-development projects.</li><li>
Ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Ensure AI best-practice approaches, standards, and methods are applied appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul><p><b>
5. Knowledge Sharing, Training &amp; Enablement</b></p><ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul><p><b>
6. Sales Collaboration &amp; Growth</b></p><ul><li>
Partner effectively with sales personnel to position solutions, support opportunity development, and secure orders.</li></ul><p></p><p><b>
Qualification and Experience:</b></p><ul><li><b>
Bachelors or Masters in Chemical Engineering. preferred</b>, with a minimum of <b>15 years of industrial process experience</b> spanning APC/RTO-related software development, engineering, and business development.</li><li><b>
Minimum 4 years' experience</b> leading, architecting, or implementing AI/ML applications and AI-driven transformation initiatives in an industrial setting; knowledge of AI for process control is an advantage.</li><li>
Strong foundation in AI/ML methods, the model lifecycle, and best-practice deployment and governance approaches.</li><li>
Strong problem-solving skills with an emphasis on <b>solution development</b>.</li><li>
Work location: <b>Yokogawa Global AI CoE Centre, United Arab Emirates (UAE)</b>.</li><li>
Willing and able to <b>travel throughout the YMA region and globally</b> as required.</li></ul><p></p><p><b>
Competencies &amp; Skills
</b></p><ul><li>Strong foundation in AI/ML solution design, methodology, and solution / enterprise architecture, including architecture governance (e.g. TOGAF).</li><li>
Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Strong communicator and collaborative team player with the ability to energize and influence others, including senior and executive stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul><p></p><p>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;</p><p></p><p>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</p><p></p><p>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</p></div>

Senior AI/ML Process Consultant/Engineer

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