architect

senior architect

engineering manager

sales engineer

senior sales engineer

ai solution architect

Nagarro

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Design and deliver
 <strong>
  enterprise-grade AI solutions
 </strong>
 across LLM, ML, and knowledge engineering domains. Work with engineering teams to build
 <strong>
  scalable, secure, and cloud-native AI architectures
 </strong>
 aligned with enterprise standards.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect solutions for LLM agents, RAG pipelines, Conversational AI, AI search, and knowledge systems.
  </li>
  <li>
   Design cloud-native AI platforms on Azure with serverless endpoints, GPU autoscaling, and distributed compute.
  </li>
  <li>
   Implement vector databases with advanced indexing and low-latency retrieval.
  </li>
  <li>
   Translate business vision into secure, compliant AI architectures with monitoring, RBAC, and explainability.
  </li>
  <li>
   Collaborate with stakeholders and communicate technical decisions clearly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-Have Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI Application Solution Design
  </li>
  <li>
   Cloud-Native GenAI Development
  </li>
  <li>
   Data Science on Azure
  </li>
  <li>
   Machine Learning Solution Design
  </li>
  <li>
   Advanced RAG Workflow
  </li>
  <li>
   Hands-on Python and experience with agentic GenAI systems
   <br/>
   <br/>
  </li>
 </ul>
 Arabic proficiency is a plus.
</div>


AI Solution Architect

Kearney

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3><p></p><div><div><p><b>
About Kearney Activate</b></p></div><div><p>
Kearney Activate is the business acceleration and enablement arm of Kearney Management Consulting, helping clients accelerate transformation through Data and AI.</p></div><div><p>
Our Data &amp; AI business line bridges strategy, technology, and execution to deliver data-driven, AI-enabled, and cloud-powered transformations. We partner with leading platforms such as Microsoft, AWS, Snowflake, Databricks and Nvidia to help organizations build trusted data foundations, deploy intelligent solutions, and scale innovation.</p></div><div><p>
We operate across four key focus areas:</p></div><div><ul><li><div>
Advisory &amp; Assurance Services: Driving strategy, governance, and change management to ensure impactful transformation.</div></li></ul></div><div><ul><li><div>
Data Services: Building trusted, high-quality data foundations using Agentic AI across engineering, architecture, and governance.</div></li></ul></div><div><ul><li><div>
Insights Services: Unlocking value through analytics, data science, and AI-driven storytelling for better decision making.</div></li></ul></div><div><ul><li><div>
Asset Services: Developing reusable GenAI assets, accelerators, and AI-powered solutions that push the boundaries of innovation.</div></li></ul></div><div></div><div><p><b><br>
Position Overview</b></p></div><div><p>
We are seeking a visionary AI-Enabled Solution Architect to help lead the regional design and delivery of next-generation, AI-native data and analytics solutions. This role is central to our transformation team as we embed Generative AI, Agentic Intelligence, and modern data engineering into the core of how we operate and deliver value to our clients.</p></div><div><p>
You&rsquo;ll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions.</p></div><div><p><b>
Your Responsibilities</b></p></div></div><div><div><ul><li><div>
Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities.</div></li></ul></div><div><ul><li><div>
Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi structured data sources (e.g., Excel, JSON).</div></li></ul></div><div><ul><li><div>
Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multimodal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs).</div></li></ul></div><div><ul><li><div>
Drive data quality through embedded validation, monitoring, and automated reporting frameworks.</div></li></ul></div><div><ul><li><div>
Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support.</div></li></ul></div><div><ul><li><div>
Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases.</div></li></ul></div><div><ul><li><div>
Mentor and grow a high-performing team of architects, engineers, and analysts&mdash;fostering innovation, cross functional collaboration, and delivery excellence.</div></li></ul></div><div><ul><li><div>
Champion AI and data architecture as strategic enablers of business transformation&mdash;linking technology decisions directly to measurable client outcomes.</div></li><li><div>
Provide technical leadership within sales processes and client pursuits</div></li><li><div>
Identify and cultivate new opportunities within existing and prospective accounts</div></li></ul></div><div><p><b>
Technologies &amp; Concepts</b></p></div><div><ul><li><div>
Programming &amp; APIs: PySpark, Python, FastAPI, FastMCP, SQL, OAuth2</div></li></ul></div><div><ul><li><div>
GenAI &amp; Agentic Tools: RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search)</div></li></ul></div><div><ul><li><div>
AI Architectures: Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning &amp; Adaptation Strategies</div></li></ul></div><div><ul><li><div>
Data Engineering: Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows</div></li></ul></div><div><ul><li><div>
Data Analytics &amp; Quality: Exploratory Data Analysis, advanced classification, data quality reporting and observability</div></li></ul></div><div><ul><li><div>
Enterprise Integration: Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments</div></li></ul></div><div><p><b>
Your Profile</b></p></div><div><ul><li><div>
Proven experience designing and scaling GenAI-enabled and data-driven architectures.</div></li></ul></div><div><ul><li><div>
Strong grounding in software engineering principles and AI/ML enablement.</div></li></ul></div></div><div><div><ul><li><div>
Demonstrated ability to lead, mentor, and grow cross-functional technical teams.</div></li></ul></div><div><ul><li><div>
Track record of delivering innovative, scalable solutions that drive clear business value.</div></li><div></div><li><div><br>
Experience influencing CXO-level stakeholders</div></li><li><div>
Strong commercial mindset linking architecture to business value</div></li></ul></div><div></div><div><ul><li><div><br>
Exceptional communication skills.</div></li></ul></div><div><ul><li><div>
Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges.</div></li></ul></div></div><div></div><div><div><b><br>
Why Join?</b></div></div><div></div><div><ul><li><div><br>
Strategic Impact &ndash; Shape the commercial growth engine of one of Kearney&rsquo;s fastest-growing digital businesses.</div></li></ul></div><div><ul><li><div>
Collaborative Ecosystem &ndash; Work with top technology partners and world-class consulting teams.</div></li></ul></div><div><ul><li><div>
Growth &amp; Development &ndash; Access Kearney&rsquo;s global learning programs and partner certifications.</div></li></ul></div><div><ul><li><div>
Culture &ndash; Join a hands-on, high-energy, and inclusive environment focused on innovation and impact.</div></li></ul></div><div><ul><li><div>
Purpose &ndash; Help global enterprises unlock value through trusted data foundations, AI enablement, and digital transformation.</div></li></ul></div><div></div><div><div><b><br>
Equal Employment Opportunity and Non-discrimination</b></div></div><div><p>
Kearney Activate prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Kearney Activate aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney Activate is committed to building a diverse, unbiased and inclusive workforce. Kearney Activate is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person&rsquo;s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.</p></div><p></p><h3 class="jobSectionHeader"><b>
Language Requirements</b></h3><p>
Arabic and English</p></div>

Data and AI Solution Architect

Presight

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  About Presight
  <br/>
  <br/>
 </strong>
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking a Solution Architect with strong pre‑sales and solution‑shaping experience to lead the definition, positioning, and articulation of enterprise‑grade digital, data, and AI solutions during the sales and pursuit lifecycle.
 <br/>
 <br/>
 This role focuses on translating customer business challenges into compelling, feasible, and differentiated solution architectures. The Solution Architect works closely with sales, business development, delivery leaders, and technical architects to ensure proposed solutions are commercially viable, technically sound, and aligned with delivery capabilities.
 <br/>
 <br/>
 The role requires strong communication skills, customer engagement experience, and the ability to balance innovation with pragmatism across architecture, cost, risk, and delivery considerations.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Pre‑Sales Solution Architecture &amp; Shaping
  </li>
  <li>
   Own the end‑to‑end solution architecture during the pre‑sales lifecycle, from opportunity qualification through proposal and customer presentation.
  </li>
  <li>
   Translate customer business requirements, constraints, and success metrics into high‑level solution architectures.
  </li>
  <li>
   Define solution scope, assumptions, dependencies, and constraints in collaboration with sales and delivery teams.
  </li>
  <li>
   Ensure alignment between business outcomes, technical approach, and commercial structure.
  </li>
  <li>
   Architecture Definition &amp; Conceptual Design
  </li>
  <li>
   Produce functional and technical architecture covering:
  </li>
  <ul>
   <li>
    Application and platform architecture
   </li>
   <li>
    Data, analytics, and AI solution approaches
   </li>
   <li>
    Integration patterns and APIs
   </li>
   <li>
    Infrastructure (cloud, hybrid, on‑premise where applicable)
   </li>
   <li>
    Security and compliance considerations
   </li>
  </ul>
  <li>
   Select and position appropriate technologies, platforms, and services aligned with customer context and enterprise standards.
  </li>
  <li>
   Ensure proposed architectures are scalable, secure, and delivery‑ready, with a clear transition path to detailed design.
  </li>
  <li>
   Commercial, Costing &amp; Risk Alignment
  </li>
  <li>
   Support effort estimation, cost modelling, and pricing inputs in collaboration with delivery and finance teams.
  </li>
  <li>
   Identify technical risks, assumptions, and mitigation strategies early in the sales cycle.
  </li>
  <li>
   Balance solution quality, cost, timeline, and risk to support competitive and profitable proposals.
  </li>
  <li>
   Contribute to solution differentiation and value propositions.
  </li>
  <li>
   Stakeholder Engagement &amp; Storytelling
  </li>
  <li>
   Act as a trusted technical advisor to customers, engaging effectively with both technical and business stakeholders.
  </li>
  <li>
   Lead solution walkthroughs, architecture presentations, and technical Q&amp;A sessions.
  </li>
  <li>
   Communicate complex technical concepts clearly and confidently to non‑technical audiences.
  </li>
  <li>
   Support executive‑level discussions when required.
  </li>
  <li>
   Proposal &amp; Transition Support
  </li>
  <li>
   Provide technical leadership for RFP/RFI responses, proposals, and Statements of Work (SoWs).
  </li>
  <li>
   Ensure architectural consistency across written proposals, diagrams, and presentations.
  </li>
  <li>
   Collaborate with Technical Architects and delivery teams to ensure smooth handover from pre‑sales to delivery.
  </li>
  <li>
   Remain engaged during early delivery phases to validate architectural intent and assumptions.
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in solution architecture, pre‑sales architecture, or senior technical consulting roles.
  </li>
  <li>
   Strong experience working within sales or bid environments, supporting opportunities from shaping to closure.
  </li>
  <li>
   Proven ability to design and present enterprise‑grade solutions across digital, data, cloud, and AI domains.
  </li>
  <li>
   Solid experience with:
  </li>
  <ul>
   <li>
    Data centre and air-gapped environment
   </li>
   <li>
    Cloud and hybrid infrastructure architectures
   </li>
   <li>
    Enterprise integration patterns and APIs
   </li>
   <li>
    Data platforms and analytics solutions
   </li>
   <li>
    AI/ML solutions at an architectural or solution‑delivery level
   </li>
   <li>
    Embed security‑by‑design across all solution components
   </li>
  </ul>
  <li>
   Clear communication with engineering teams, leadership, and external partners.
  </li>
 </ul>
</div>


Senior Solution Architect

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 As the Manager &ndash; Solution Engineering at Inception, you will play a pivotal role in bridging the technical and commercial worlds. Reporting to the Senior Director &ndash; Solution Engineering, you will lead the hands-on design and articulation of enterprise AI solutions that align with customer goals and Inception&rsquo;s technology capabilities. You&rsquo;ll work across pre-sales, architecture, and product teams to ensure our AI offerings are tailored, scalable, and impactful for clients across industries.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 This role is ideal for a solution-oriented transformative leader who thrives on complex challenges, technical storytelling, and helping customers realize the value of cutting-edge AI platforms. You will guide the development of repeatable solution, support customer engagement efforts, work with product managers to define product roadmap, and play a key role in growing the solution engineering function.
 <br/>
 <br/>
 <strong>
  About Inception
  <br/>
  <br/>
 </strong>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Pre-Sales Solution Engineering
 <br/>
 <br/>
 <ul>
  <li>
   Lead technical discovery sessions with clients to identify goals, challenges, and technology environments.
  </li>
  <li>
   Lead envisioning sessions with customers to integrate AI into business processes, improve efficiency, and drive AI-first transformation
  </li>
  <li>
   Design tailored, scalable solution architectures that align Inception&rsquo;s capabilities with customer needs.
  </li>
  <li>
   Translate complex AI features into simple, compelling solution narratives for commercial use cases.
  </li>
  <li>
   Support RFP responses, client workshops, and proofs-of-concept with clear architectural guidance.
   <br/>
   <br/>
  </li>
 </ul>
 Customer Engagement
 <br/>
 <br/>
 <ul>
  <li>
   Act as a trusted technical advisor for strategic customer engagements, ensuring alignment from pre-sales to delivery.
  </li>
  <li>
   Collaborate closely with commercial and business development teams to build client confidence in proposed solutions.
  </li>
  <li>
   Deliver high-impact solution presentations, demos, and technical briefings to stakeholders and decision-makers.
   <br/>
   <br/>
  </li>
 </ul>
 Cross-Functional Collaboration
 <br/>
 <br/>
 <ul>
  <li>
   Work with sales, product managers and engineering leads to influence roadmaps based on real-world customer needs.
  </li>
  <li>
   Coordinate with applied science teams to validate feasibility, performance, and scalability of proposed AI solutions.
  </li>
  <li>
   Ensure smooth knowledge transfer from pre-sales engineering to delivery teams during project kickoffs.
   <br/>
   <br/>
  </li>
 </ul>
 Solution Engineering Methodology
 <br/>
 <br/>
 <ul>
  <li>
   Map customers use cases with the product and identify gaps in product w.r.t customer requirements.
  </li>
  <li>
   Develop reusable templates, design patterns, and best practices to standardize and scale the solutioning process.
  </li>
  <li>
   Contribute to establishing KPIs that measure pre-sales success, such as win rate and deal velocity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 <ul>
  <li>
   Strong experience in technology consulting with focus on solution engineering, technical pre-sales, or solution architecture roles.
  </li>
  <li>
   Ability to simplify complex technical ideas and communicate them to business stakeholders.
  </li>
  <li>
   Familiarity with cloud-native platforms, AI/ML infrastructure, and enterprise integration patterns.
  </li>
  <li>
   A collaborative, customer-first mindset with the ability to work across technical and commercial teams.
   <br/>
   <br/>
  </li>
 </ul>
 To qualify for the role you must have
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Engineering, or related technical field (Master&rsquo;s preferred).
  </li>
  <li>
   14+ years of experience in technical pre-sales, solution architecture, or consulting roles, preferably in AI, cloud, or SaaS.
  </li>
  <li>
   Hands-on knowledge of designing large-scale enterprise solutions.
  </li>
  <li>
   Must have experience in at least one industry: Retail, FSI, Telco, Software Product, or Public Sector/National Security.
  </li>
  <li>
   Experience working with commercial and delivery teams to support the full solution lifecycle.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also have
 <br/>
 <br/>
 <ul>
  <li>
   Experience in AI/ML solution design, cloud platform architecture (Azure, AWS, or GCP), or vertical-specific solutions.
  </li>
  <li>
   Prior involvement in building solution frameworks or reusable technical assets.
  </li>
  <li>
   Certifications such as Azure Solutions Architect, AWS Solutions Architect, or TOGAF are a plus.
  </li>
  <li>
   Business administration qualification
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Manager - Solution Engineering

Acenet consulting

<div><div><b>Experience:</b> 10 to 15 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101484
<br>
<b>Posted on:</b> Apr 17, 2026<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.</p>
<p>Job Summary:<br>
We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale. This is a senior-level role requiring deep Azure expertise, strong governance orientation, and the ability to enable AI innovation within a controlled, secure enterprise framework.</p>
<div>Key Responsibilities:<br>
<ul><li>Design and maintain enterprise-grade Azure AI resources.</li><li>Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.</li><li>Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.</li><li>Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.</li><li>Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.</li><li>Implement least-privilege RBAC models and ensure secure identity integration.</li><li>Enforce governance controls using Azure Policy and Management Groups.</li><li>Review AI solution architectures and participate in architecture review boards.</li><li>Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.</li><li>Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.</li><li>Support CI/CD pipelines and controlled change and release management processes.</li><li>Develop operational runbooks and ensure smooth transition of AI services to operations teams.</li><li>Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.</li></ul></div>
<div>Required Skills &amp; Experience:<br>
<ul><li>Deep hands-on expertise in Microsoft Azure and Azure AI services.</li><li>Strong experience designing AI landing zones and enterprise cloud architectures.</li><li>Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).</li><li>Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.</li><li>Experience with Microsoft Defender for Cloud and enterprise security monitoring.</li><li>Hands-on experience with Infrastructure as Code and CI/CD pipelines.</li><li>Strong FinOps mindset and experience managing Azure cost optimization.</li><li>10+ years in IT infrastructure/cloud architecture.</li><li>5+ years of hands-on Azure architecture experience.</li><li>Experience operating within a centralized Cloud CoE model.</li><li>Preferred Certifications:</li><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Microsoft Certified: Azure Security Engineer Associate</li><li>Microsoft Certified: Azure AI Engineer Associate</li><li>Microsoft Certified: Azure Administrator Associate</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div>

Senior Azure AI Infrastructure Architect

<div><div><b>Experience:</b> 12 to 18 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101483
<br>
<b>Posted on:</b> Apr 17, 2026<br>
</div><br>
<p>About Us:<br>
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.</p>
<p>Job Summary:<br>
We are seeking a highly skilled and experienced Azure Technical Architect with hands-on experience in Microsoft Azure. The ideal candidate should possess excellent inter-company communication skills, demonstrated experience in designing and implementing complex Azure-based solutions, and a solid understanding of AI platforms (HPC/AI), including Microsoft AI, Cerebras, Fluid Stack and AMD-based architectures. This role involves working closely with cross-functional teams to deliver scalable, secure, and high-performance cloud solutions that align with business objectives.</p>
<div>Key Responsibilities:<br>
<ul><li>Design, implement, and maintain end-to-end Azure solutions across various Azure services.</li><li>Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor. Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.</li><li>Analyze performance metrics across compute, storage, network, and application layers &amp; Identify bottlenecks and performance gaps, recommending and implementing tuning strategies.</li><li>Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.</li><li>Architect and lead complex application modernization journeys, including the decomposition of monolithic applications (e.g., legacy .NET apps) into scalable, secure, and cost-effective microservices on Azure.</li><li>Design end-to-end migration solutions for complex, multi-tier enterprise workloads, ensuring minimal business disruption and maximizing the return on cloud investment.</li><li>Evaluate application portfolios to provide strategic recommendations on migration paths: Rehost (lift-and-shift), Refactor, rearchitect (to microservices), or rebuild.</li><li>Act as a technical advisor to internal stakeholders and external and partner stakeholders.</li><li>Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.</li><li>Collaborate with development, DevOps, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.</li><li>Provide architectural governance and ensure compliance with best practices, standards, and security policies.</li><li>Produce high-quality documentation, architecture diagrams, and solution blueprints.</li><li>Guide and mentor technical teams and conduct architectural reviews.</li><li>Stay current on the latest developments in Azure services and AI technologies.</li></ul></div>
<div>Role Requirements and Qualification:<br>
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or related field.</li><li>Overall Experience 12+ Years, Relevant Experience 6+ Years in Azure Cloud and 2+ years&rsquo; experience in AI.</li><li>Microsoft Certified: Azure Solutions Architect Expert certification (required).</li><li>Core Azure Infrastructure: Azure Virtual Machines, Azure Virtual Desktop, Azure Virtual Network (VNet), Azure Application Gateway, Azure VPN Gateway, Azure ExpressRoute, Virtual WAN, Network Security Groups (NSGs), Azure Firewall, Private Endpoints, Private DNS.</li><li>Load Balancing Solution: Azure Load Balancer, Azure Application Gateway, Azure Frontdoor, WAF, Citrix NetScaler</li><li>Azure Storage Solutions: Azure Blob Storage, Azure Files, Azure Disk Storage, Azure Storage Accounts.</li><li>Azure Compute &amp; App Services: Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Instances, Azure Service Fabric, API Management, Logic App, SQLMI, SQL Instance.</li><li>Monitoring &amp; Management: Azure Monitor, Azure Dashboards, Azure Workbooks, Log Analytics, Azure Automation, Azure Resource Manager (ARM), Azure Advisor, Cost Management &amp; Budgets, Management Groups &amp; Subscriptions.</li><li>Identity &amp; Access Management: Azure Active Directory (AAD), Azure Key Vault, Role-Based Access Control (RBAC), PIM, Azure Conditional Access</li><li>Security And Governance: Microsoft Defender for Cloud, Sentinel, Well-Architected Framework (WAF), Azure Policy.</li><li>Backup Solution: Azure Backup, Snapshot, Veeam Backup</li><li>Data Security &amp; Encryption: Azure Disk Encryption &amp; Azure Storage Service Encryption, Transparent Data Encryption (TDE) for Azure SQL.</li><li>Automation: Terraform, Bicep, Azure PowerShell &amp; CLI.</li></ul>
:DevOps &amp; CI/CD: Azure DevOps, Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, Azure Artifacts, Azure DevTest Labs, Azure SDKs, Azure App Configuration, Azure Lab Services<br>
<ul><li>AI &amp; Machine Learning (Basic to Advanced Knowledge Required): Azure Machine Learning, Azure AI Bot Service, Azure Cognitive Services, Azure Databricks, Azure AI Search, Azure OpenAI, Azure Form Recognizer, Azure Immersive Reader, Azure Personalizer, Azure Video Indexer, Azure Metrics Advisor, Azure Custom Vision, Azure Translator, Azure Speech Services, Azure Content Safety, Azure Document Intelligence, Azure Foundry Models, Azure Health Bot, Azure Kinect DK, Azure Face API, Azure QnA Maker, Azure Language Understanding (LUIS), Azure Text Analytics, Azure Text to Speech, Azure Speaker Recognition, Azure Microsoft Genomics, Azure Project Bonsai.</li><li>Strong understanding of cloud architecture, networking, security, and automation.</li><li>Demonstrated experience with AI/ML solutions and integrations.</li><li>Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders.</li><li>Strong problem-solving skills and ability to work independently and as part of a team.</li><li>Preferred Soft Skills:</li><li>Ability to collaborate across multiple business units and technical teams.</li><li>Strong presentation and documentation skills.</li><li>Experience working in multi-cloud or hybrid cloud environments.</li><li>High level of curiosity and adaptability to new technologies.</li><li>Expert Industry: Financial Services, IT Services, Cloud Consulting, etc.</li></ul></div>
<div>Why Join Us:<br>
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
<p>How to Apply:<br>
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</p></div>

Azure Cloud AI Technical Architect

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   Overview:
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 About Inception
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 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered, domain-specific and industry-agnostic products, built on a strong foundation of research and development. As the core intelligence layer within the G42 ecosystem, Inception transforms data and compute infrastructure into real-world, applied AI solutions that drive both commercial value and societal impact.
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 Role Summary
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 As the Director &ndash; Solution Engineering (Partners), you will lead the technical enablement, activation, and ongoing success of Inception&rsquo;s partner ecosystem. Reporting to the Senior Vice President of Solution Engineering, you will empower System Integrators, resellers, consulting partners, and technology alliances to effectively position, architect, and deliver Inception&rsquo;s AI portfolio.
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 This role sits at the intersection of solution engineering, partner enablement, and scalable technical advocacy. You will build the frameworks, assets, and programs that allow partners to independently drive high-quality enterprise engagements. Your work will ensure that partners are deeply equipped&mdash;technically and commercially&mdash;to accelerate adoption of Inception&rsquo;s AI capabilities across global markets.
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   Responsibilities:
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 The Opportunity
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 This role offers a unique chance to shape Inception&rsquo;s partner-led technical strategy from the ground up. You will:
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   Build reusable demo environments and solution assets
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   Create certification programs for partner enablement
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   Provide architectural guidance during partner-led customer pursuits
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   Drive technical excellence across the entire partner ecosystem
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 Your leadership will be instrumental in scaling Inception&rsquo;s presence and ensuring that our AI solutions are represented with consistency, accuracy, and depth across all partner channels.
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 Key Responsibilities
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 Partner Technical Activation &amp; Enablement
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   Lead technical activation of partners to ensure they can independently position, design, and deliver the Inception AI portfolio.
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   Develop and deliver technical onboarding programs, solution deep-dives, and product training sessions.
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   Build and maintain a Partner Tech Certification curriculum, including learning paths, assessments, and hands-on training materials.
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 Reusable Assets, Demo Environments &amp; Tooling
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   Build and manage demo environments, reference architectures, and reusable technical assets to support partner pursuits.
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   Create solution templates, technical summaries, and architecture documents that partners can standardize and replicate.
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   Ensure collateral is scalable, up-to-date, and aligned with Inception&rsquo;s evolving AI portfolio.
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 Support for Partner-Led Customer Engagements
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   Work closely with partners during customer engagements, providing guidance on workshops, RFx responses, architectural design, cost estimation, and solution sizing.
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   Ensure partners are delivering technically sound proposals that align with Inception&rsquo;s best practices and architectural principles.
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   Serve as the escalation point for complex technical questions that arise in partner-led opportunities.
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 Cross-Functional Collaboration
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   Collaborate with product, applied science, engineering, and commercial teams to ensure alignment on partner needs and market feedback.
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   Provide insights from partner engagements to influence product strategy and roadmap decisions.
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   Support joint go-to-market initiatives with the partnerships and alliances teams.
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 Process Development &amp; Standardization
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   Develop scalable methodologies for partner technical onboarding, architecture reviews, and quality assurance.
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   Standardize solution engineering processes and documentation across the partner ecosystem.
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   Drive continuous improvement to ensure partners deliver high-quality, repeatable solutions.
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   Qualifications:
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 Skills &amp; Attributes for Success
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   Proven experience designing and delivering enterprise-grade AI or software solutions.
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   Strong ability to translate complex technical concepts into scalable training materials and reusable assets.
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   Deep understanding of AI/ML architectures, SaaS solutions, enterprise integration, and cloud-native technologies.
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   Excellent presentation, communication, and technical mentoring skills.
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   Strong relationship-building and stakeholder management skills across both technical and commercial audiences.
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  Qualifications
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   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
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   7+ years of experience in solution architecture, pre-sales engineering, or technical consulting&mdash;preferably with experience in partner enablement or partner ecosystems.
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   Demonstrated success supporting enterprise sales engagements through technical architecture, workshops, and RFx responses.
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   Hands-on experience with cloud platforms (Azure strongly preferred), AI/ML services, and enterprise integration architectures.
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   Technical knowledge of OpenAI and Microsoft Azure (L300) is a strong plus.
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 What we look for
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 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
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  What Working At Inception Offers:
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   Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
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   Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
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   Work-Life: A hybrid work policy to strike the perfect balance between office and home.
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   Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
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</div>


Director - Solution Engineering

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