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ai platform application engineer

Nagarro

<div>
 
 Job Description
 
 
 
 Build and implement
 
 production-ready AI solutions
 
 including LLM pipelines, RAG systems, Conversational AI, and ML services on
 
 Azure
 
 . Ensure reliability, scalability, and continuous improvement across AI workloads.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop modular Python code for LLM, RAG, and ML components.
 </li>
 <li>
 Build APIs, orchestration scripts, and integration layers for enterprise apps.
 </li>
 <li>
 Implement RAG workflows, vector DB configurations, and prompt engineering.
 </li>
 <li>
 Deploy and monitor AI models using containerization and CI/CD pipelines.
 </li>
 <li>
 Collaborate with architects and product teams to refine designs and deliverables.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
 </li>
 <li>
 Python (Strong) and advanced RAG Workflow experience
 </li>
 <li>
 Hands-on with agentic GenAI components and ML pipelines
 
 
 </li>
 </ul>
 Arabic proficiency is a plus.
</div>

AI Platform & Application Engineer

The Value Maximizer

<div>
 
 
 Position:
 
 Automation Lead - Data &amp; AI (Power Platform)
 
 
 
 
 Location:
 
 Abu Dhabi
 
 Experience:
 
 12+ Years
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Automation Lead
 
 to architect and drive enterprise-wide low-code and automation initiatives using
 
 Microsoft Power Platform
 
 . The ideal candidate will lead solution design, governance, integrations, and delivery while closely partnering with business stakeholders to drive digital transformation and AI-led automation.
 
 
 
 Key Responsibilities
 
 
 
 Architect scalable solutions using
 
 Power Apps, Power Automate, and Copilot Studio
 
 Define governance models, standards, and platform best practicesLead
 
 Dataverse
 
 data modeling and cross-system integrations (ERP/CRM/Custom Applications)Drive automation fitment discussions and end-to-end solution designLead and mentor low-code development teams; ensure delivery qualityEngage business stakeholders to identify automation use cases and ROIPromote AI-driven automation using
 
 Copilot Studio and AI Builder
 
 
 
 
 Requirements
 
 
 
 12+ years of overall application development experience7+ years of leadership experience with
 
 Microsoft Power Platform
 
 Strong hands-on expertise in
 
 Power Apps, Power Automate, Power BI, Dataverse, and Copilot Studio
 
 Proven experience integrating with
 
 SharePoint, Azure services, SQL, ERP/CRM systems
 
 Strong background in
 
 governance, CoE models, and solution architecture
 
 Excellent leadership, communication, and stakeholder management skills
 
 
 
 
 Certifications (Mandatory)
 
 
 
 
 
 PL-600
 
 
 PL-900
 
</div>

Automation Lead

Qode

Position: Automation Lead – Data & AI (Power Platform): 
Location: Abu DhabiExperience: 12+ Years
 
Role Overview: 
We are looking for an experienced Automation Lead to architect and drive enterprise-wide low-code and automation initiatives using Microsoft Power Platform. The ideal candidate will lead solution design, governance, integrations, and delivery while closely partnering with business stakeholders to drive digital transformation and AI-led automation.
 
Key Responsibilities: 
Architect scalable solutions using Power Apps, Power Automate, and Copilot StudioDefine governance models, standards, and platform best practicesLead Dataverse data modeling and cross-system integrations (ERP/CRM/Custom Applications)Drive automation fitment discussions and end-to-end solution designLead and mentor low-code development teams; ensure delivery qualityEngage business stakeholders to identify automation use cases and ROIPromote AI-driven automation using Copilot Studio and AI Builder
 
Requirements: 
12+ years of overall application development experience7+ years of leadership experience with Microsoft Power PlatformStrong hands-on expertise in Power Apps, Power Automate, Power BI, Dataverse, and Copilot StudioProven experience integrating with SharePoint, Azure services, SQL, ERP/CRM systemsStrong background in governance, CoE models, and solution architectureExcellent leadership, communication, and stakeholder management skills
 
Certifications (Mandatory): 
PL-600PL-900•

Vice President - M&A

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Senior Data Modeller delivers enterprise-wide data foundations in a complex banking environment. The role combines enterprise/domain data modelling, hands-on data analysis, and practical data architecture input to improve how data is structured, understood, and trusted across the organisation.
We value candidates who bring a modern, forward-looking approach e.g., exposure to AI-assisted modelling/discovery and an understanding of how data platforms, metadata and semantic concepts can improve modelling productivity and consistency.
Your responsibilities in this role will include;<ul><li>
Designing and evolving conceptual and logical data models across core banking domains.</li><li>
Performing hands-on SQL analysis to profile datasets, validate definitions, reconcile discrepancies, and identify gaps.</li><li>
Providing modelling-aligned architecture inputs (conformed entities, keys, reference/master data approach, integration patterns, semantic layer considerations).</li><li>
Driving standardisation of data definitions and produce practical artefacts (data dictionary/glossary, mappings, documentation).</li><li>
Partnering with delivery teams to support metadata, lineage, and governance-aligned documentation, and ensure modelling decisions are adopted</li></ul>
Requirements
What we need you to have:<ul>
<li>
5&ndash;10+ years in data modelling and/or hands-on data analysis, ideally in banking/financial services.</li>
<li>Strong conceptual/logical modelling capability and ability to translate business needs into implementable structures.</li>
<li>Strong SQL and confidence working directly with complex datasets.</li>
<li>Strong stakeholder engagement and clear communication/documentation skills.</li>
<li>Enterprise data modelling (banking-grade): can structure domains end-to-end (customer/account/product/transaction etc.) with clear keys, relationships, and definitions.</li>
<li>Hands-on data analyst mindset: strong SQL + profiling/reconciliation; comfortable working directly with messy real-world bank data to prove what&rsquo;s true.</li>
<li>Data architecture awareness: can design models that land well in a lakehouse (layering, conformed entities, semantic alignment) and work across relational + semi/unstructured data.</li>
<li>Delivery + stakeholder execution: can run working sessions, drive decisions, produce usable artefacts (dictionary/glossary/mappings) and keep momentum with platform/engineering teams</li>
</ul>
What we'd like you to have:<ul><li>
Forward-thinking modelling: exposure to AI/GenAI-assisted modelling/discovery (automation of documentation/metadata, semantic modelling concepts, knowledge-graph thinking).</li><li>
Data quality &amp; observability orientation: experience defining critical elements, data quality checks/metrics, and supporting &ldquo;data contracts&rdquo;/early issue detection patterns.</li><li>
Lakehouse + enterprise BI/semantic familiarity: understands how models support analytics/MIS-style consumption and tool rationalisation decisions.</li><li>
Consulting background (nice signal): Big 4 / Accenture / Capgemini or similar (optional, not required).</li></ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior Data Modeler

Contango

<div><h2 class="jobSectionHeader">Role Purpose</h2>
The Vice President of Commercial is responsible for defining, driving, and executing QData&rsquo;s commercial strategy across all revenue-generating business lines. This includes monetization of AI and data platform services, professional services, embedded/managed services, advisory offerings, and long-term commercial partnerships with ADQ entities and external clients. The role leads all commercial planning, pricing, sales execution, account management, and revenue forecasting, ensuring that QData achieves sustainable growth, strong margins, and high client satisfaction.
This role functions as the commercial engine of QData, shaping go-to-market strategy, building commercial capabilities, developing scalable sales motions, and converting QData&rsquo;s technology and solutions into revenue. The VP of Commercial acts as the primary business partner for CEOs, CFOs, CIOs, and senior leaders across government and regulated industries.<h1 class="jobSectionHeader">
Key Responsibilities</h1><h2 class="jobSectionHeader">
1. Commercial Strategy &amp; Revenue Leadership</h2><ul>
<li>Define QData&rsquo;s commercial strategy across platform subscriptions, AI solutions, data products, professional services, embedded delivery, and managed service offerings.</li>
</ul><ul><li>Translate company vision into clear revenue plans with measurable targets, growth objectives, and pricing/packaging models.</li>
</ul><ul><li>Develop short-, mid-, and long-term revenue forecasts aligned with QData&rsquo;s strategic priorities.</li>
</ul><ul><li>Establish commercial frameworks that support scale across 60+ government and enterprise entities. 
</li>
</ul><h2 class="jobSectionHeader">2. Sales &amp; Go-To-Market Execution</h2><ul>
<li>Build and lead the commercial organization, covering sales, pre-sales, commercial operations, and account management.</li>
</ul><ul><li>Develop and execute GTM strategies for AI and data solutions, including segmentation, value propositions, and multi-channel engagement.</li>
</ul><ul><li>Oversee deal structuring, proposals, RFP responses, commercial negotiations, and contract closure.</li>
</ul><ul><li>Implement a disciplined pipeline management framework with rigorous forecasting and opportunity qualification. 
</li>
</ul><h2 class="jobSectionHeader">3. Product &amp; Services Monetization</h2><ul>
<li>Define pricing models for:</li>
</ul><ul><li>AI platform and data platform services</li>
</ul><ul><li>Federated data catalog subscriptions</li>
</ul><ul><li>Professional &amp; embedded services</li>
</ul><ul><li>Advisory &amp; consulting offerings</li>
</ul><ul><li>Managed services and SLAs</li>
</ul><ul><li>Enterprise AI product bundles</li>
</ul><ul><li>Work with the VP of Data and VP Technology to commercialize new data products and platform features. 
</li>
</ul><h2 class="jobSectionHeader">4. Account Management &amp; Client Success</h2><ul>
<li>Establish an account management function to drive retention, cross-sell, upsell, and long-term commercial growth.</li>
</ul><ul><li>Personally lead executive engagement with priority government entities and ADQ OpCos.</li>
</ul><ul><li>Ensure high customer satisfaction, predictable renewals, and value realization across all revenue lines.</li>
</ul><ul><li>Build strategic partnerships with hyperscalers, global tech vendors, and channel partners where beneficial. 
</li>
</ul><h2 class="jobSectionHeader">5. Revenue Operations &amp; Commercial Governance</h2><ul>
<li>Oversee commercial operations, including pricing governance, deal review, contracting standards, and margin analysis.</li>
</ul><ul><li>Implement commercial KPIs, dashboards, metrics, and performance systems.</li>
</ul><ul><li>Ensure compliance with procurement rules, PDPL, sovereign cloud requirements, and government contracting standards.</li>
</ul><ul><li>Establish approval workflows and guardrails to ensure deals are profitable and aligned with QData&rsquo;s mission. 
</li>
</ul><h2 class="jobSectionHeader">6. Leadership &amp; Organizational Development</h2><ul>
<li>Build and scale a high-performing commercial organization with strong sales culture, accountability, and discipline.</li>
</ul><ul><li>Mentor commercial directors, account leads, solution consultants, and pre-sales teams.</li>
</ul><ul><li>Establish compensation models, incentives, and performance structures aligned with QData objectives.</li>
</ul><ul><li>Foster a culture of collaboration with Product, Solutions, Data, and Technology teams. 
</li>
</ul><h1 class="jobSectionHeader">Required Technical Competencies</h1><ul>
<li>Commercial Strategy (CMST) &ndash; Level 7 
Ability to define commercial frameworks, pricing, GTM strategies, and monetization plans.</li>
</ul><ul><li>Sales &amp; Business Development (SABD) &ndash; Level 6 
Deep experience in enterprise sales, government sales, or strategic account management.</li>
</ul><ul><li>Portfolio &amp; Offering Management (POMG) &ndash; Level 6 
Skilled in packaging services and products into commercial offerings.</li>
</ul><ul><li>Contract &amp; Commercial Negotiation (CNEG) &ndash; Level 6 
Expertise in negotiating complex enterprise, public-sector, and multi-year contracts.</li>
</ul><ul><li>Data &amp; AI Market Understanding (DAIM) &ndash; Level 5 
Familiarity with AI platforms, data platforms, and enterprise technology solutions.</li>
</ul><ul><li>Financial Acumen (FINM) &ndash; Level 6 
Strong capability in revenue forecasting, P&amp;L understanding, margin analysis, and commercial governance. 
</li>
</ul><h1 class="jobSectionHeader">Preferred Technical Competencies</h1><ul>
<li>Government Relations &amp; Public Sector Sales 
Experience engaging ministries, regulators, and government procurement.</li>
</ul><ul><li>Partner Ecosystem Management 
Ability to structure alliances with hyperscalers, consulting firms, and technology providers.</li>
</ul><ul><li>SaaS / Platform Commercial Models 
Understanding of subscription, consumption-based, and tiered pricing.</li>
</ul><ul><li>AI &amp; Data Monetization 
Ability to translate AI capabilities into clear commercial value propositions. 
</li>
</ul><h1 class="jobSectionHeader">Required Behavioural Competencies</h1><ul>
<li>Executive Communication &amp; Influence 
Engages credibly with boards, CEOs, ministers, and senior executives.</li>
</ul><ul><li>Strategic Thinking with Operational Discipline 
Balances long-term growth strategy with daily pipeline management and revenue execution.</li>
</ul><ul><li>Relationship Builder &amp; Trusted Advisor 
Builds long-term relationships that drive recurring revenue and retention.</li>
</ul><ul><li>Commercial Drive &amp; Accountability 
Strong results orientation; takes ownership of revenue performance and targets.</li>
</ul><ul><li>Collaboration 
Works cross-functionally with Product, Solutions, Data, and Technology.</li>
</ul><ul><li>Resilience &amp; Adaptability 
Operates effectively in a fast-moving, high-visibility, government-backed environment.</li>
</ul><h1 class="jobSectionHeader">Experience &amp; Education Requirements</h1><h3 class="jobSectionHeader">
Experience</h3><ul>
<li>15+ years in commercial leadership roles within enterprise technology, AI/data, digital transformation, or consulting.</li>
</ul><ul><li>Proven track record of achieving significant annual revenue targets and leading commercial functions.</li>
</ul><ul><li>Experience selling into government, regulated industries, or large enterprise accounts.</li>
</ul><ul><li>Demonstrated success building commercial organizations (sales, account management, pre-sales, revenue operations).</li>
</ul><ul><li>Strong experience in pricing, commercial modelling, negotiation, and contracting.</li>
</ul><ul><li>Familiarity with sovereign cloud, data governance, AI platforms, or analytics products is a significant advantage. 
</li>
</ul><h3 class="jobSectionHeader">Education</h3><ul>
<li>Bachelor&rsquo;s degree in Business, Engineering, Computer Science, Economics, or related field (required).</li>
</ul><ul><li>Master&rsquo;s degree (MBA or equivalent) preferred.</li>
<li>Certifications in sales methodologies (Miller Heiman, MEDDIC, Consultative Selling) are a plus.</li>
<li>
</li></ul>Disclaimer:
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</div>

QData - VP of Commercials

<div>Job Description 
We are looking for an experienced UX Designer (8&ndash;12 years) to design and optimize AI-driven conversational experiences across chatbots, voice assistants, and Generative AI interfaces. You will craft intuitive dialogue flows, engineer prompts, and ensure seamless user interaction with AI systems.
Key Responsibilities:<ul><li>
Design dialogue flows, intents, and responses for chatbots and voice assistants.</li><li>
Apply UX, linguistics, and cognitive psychology principles to conversational design.</li><li>
Build and maintain prompt libraries, fallback strategies, and evaluation frameworks.</li><li>
Conduct user research, develop personas, and analyze conversation logs for improvements.</li><li>
Collaborate with product managers and engineers in agile squads.</li></ul>
Must-Have Skills:<ul><li>
Strong Generative AI fundamentals.</li><li>
Expertise in conversational design and prompt engineering.</li><li>
Arabic language proficiency (verbal &amp; written).</li></ul></div>

AI Conversational UX Designer

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829 ai platform application engineer jobs IN Nursing Jobs In Abu Dhabi

AI Platform & Application Engineer

Automation Lead

Automation Lead

Vice President - M&A

Senior Data Modeler

QData - VP of Commercials

AI Conversational UX Designer