automation architect

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: TOSCA Automation Architect
</div></div></div></div><div><div><div><div>City: Riyadh
</div></div></div></div><div><div><div><div>State/Province: Riyadh Province
</div></div></div></div><div><div><div><div>Posting Start Date: 4/14/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><div><b>TOSCA Automation Architect/Consultant:
</b></div><div>A Tosca Automation Architect/Consultant designs, develops, and maintains codeless, model-based test automation solutions using Tricentis Tosca to enhance application quality. Responsibilities include creating reusable test components (Modules), executing functional/regression tests for web/mobile applications, integrating with CI/CD pipelines, and driving risk-based testing strategies to optimize release frequency and efficiency.<br>
</div><div></div><div><b>Key Responsibilities
</b></div><ul><li><b>Test Automation Design: </b>Create, maintain, and execute automated test cases using Tricentis Tosca&rsquo;s model-based approach.
</li><li><b>Framework Development: </b>Build and enhance automation frameworks using best practices, including reusability, modularity, and risk-based testing.
</li><li><b>Integration &amp; Execution: </b>Integrate Tosca with CI/CD tools (e.g., Jenkins) and manage distributed execution for faster testing.
</li><li><b>Requirement Analysis: </b>Translate manual functional test cases and business requirements (from Jira) into automated scripts.
</li><li><b>Defect Management: </b>Analyze test execution reports to identify defects, debug automated scripts, and collaborate with developers to resolve issues.
</li></ul><p><b>Mentorship: </b>Provide training and guidance on Tosca best practices and new features to team members
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><div><b>Required Skills and Qualifications
</b></div><ul><li><b>Core Expertise: </b>Strong hands-on experience in Tricentis Tosca .
</li><li><b>Technologies: </b>Experience automating Web, API, and Mobile applications.
</li><li><b>Methodologies: </b>Strong knowledge of Agile/Scrum and DevOps practices.
</li><li><b>Experience: </b>10+ years
</li></ul></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: Tosca Testsuite - Test Automation .<br>
<p></p>Experience: 8-10 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

TOSCA Automation Architect

Dizzaract FZ LLC

<p><b>About Dizzaract</b></p><p>Dizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.</p><p><b>Who we're looking for:</b>We need an Automator. Not just someone who uses neural networks or a ChatGPT subscriber. We need someone who deeply understands AI at an engineering level. You'll be the person who turns scattered LLMs into a structured, hierarchical army of agents capable of running a business.</p><p><b>What you'll do:</b></p><ul><li><b>Prompt Engineering &amp; Architecture:</b>Develop complex, multi-layered prompts with dynamic context, few-shot learning, and self-correction mechanisms. Your code won't just be text&mdash;it will be instructions for AI employees.</li><li><b>Building &quot;Corporate Claude&quot;:</b>Deploy and configure a corporate AI hub (based on Claude, GPT, open-source models, or local LLMs) that has access to internal documentation, knowledge bases, and company APIs.</li><li><b>Agent Hierarchy Design:</b>Design a multi-agent system. You'll create a &quot;Director&quot; (orchestrator) that assigns tasks to &quot;Department Heads&quot; (specialized agents), who then manage &quot;Executors.&quot; You'll need to establish clear separation of roles, permissions, and responsibilities across departments (from marketing and development to legal and HR).</li><li><b>Integration &amp; Automation:</b>Embed AI into CRM systems, databases, corporate messengers, and CI/CD pipelines. Ensure agents don't just chat&mdash;they take action: send reports, approve documents, deploy code, analyze logs.</li></ul><p><b>Your skill set (what we expect):</b></p><ul><li><b>Deep LLM Engineering:</b> You don't use AI blindly. You understand tokenization, temperature, logits, system prompts, and RAG (Retrieval-Augmented Generation) from the inside out. You can craft prompts that are resistant to injection attacks and hallucinations.</li><li><b>Agentic Frameworks:</b> Experience with agent-building frameworks (LangChain, LangGraph, AutoGen, CrewAI, or building custom orchestrators from scratch).</li><li><b>Backend &amp; API: </b>Strong proficiency in Python or TypeScript. Ability to wrap agents in APIs, configure webhooks, and handle asynchronous operations.</li><li><b>MCP (Model Context Protocol) or Custom Tools</b>: Expertise in equipping AI with tools and functions. Building tools that interact with the corporate environment.</li><li><b>Security</b>: Understanding how to enforce access controls so that the sales department's agent cannot delete the development team's database.</li></ul><p><b>Conditions:</b></p><ul><li>Fully remote.</li><li>Results-oriented.</li><li>Employment Type: Full-time.</li><li>Salary: Competitive + KPI-based bonuses.</li></ul><p><b>How to apply: please, as a portfolio share -&gt; </b></p><ul><li>A diagram or description of a multi-agent system architecture you've built (or would like to build).</li><li>An example of a complex prompt with function calling (tools) that you've developed.</li><li>Your thoughts on how you would enforce access controls for agents across different departments within a corporate environment.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you understand tokenization, logits, temperature, and their effect on LLM output behavior?</li><li>Have you ever implemented a Retrieval-Augmented Generation (RAG) pipeline from scratch (not using a managed service)?</li><li>On a scale of 1&ndash;5, how confident are you in building prompts resistant to injection attacks? (1 = not confident, 5 = expert)</li><li>Rate your understanding of API authentication methods (OAuth, API keys, JWT) (1 = vague, 5 = expert)</li><li>Have you built a self-correcting prompt with an automated feedback loop?</li><li>Number of years of professional experience in LLM engineering (0, 1, 2, 3, 4, 5+) &rarr; (0&ndash;5)</li><li>Is your portfolio submission complete with all three requested items (diagram, complex prompt, access control thoughts)?</li><li>Have you built or deployed a multi-agent system (not just single-agent chatbots)?</li><li>Have you implemented function calling (tools) where an agent executes external APIs autonomously?</li><li>Number of production LLM automation projects you have shipped? (0, 1&ndash;2, 3&ndash;5, 6-8, 10+) &rarr; (0,1,2,3,4)</li><li>Have you integrated LLM agents with CRM, database, or CI/CD pipelines?</li><li>Can you build an API wrapper around an agent that handles async webhooks?</li><li>Rate your Python proficiency (1 = basic, 5 = architect-level)</li><li>Rate your TypeScript proficiency (1 = basic, 5 = architect-level)</li></ul><p>Work Location: Remote</p>

AI Automation Engineer / Architect of Agentic AI (Automator)

Datamatics Technologies

<div>
 Job Title: AI Architect
 <p>
  <strong>
   Level:
  </strong>
  Senior / Principal
  <br/>
  <strong>
   Employment Type:
  </strong>
  Full-time
  <br/>
  <strong>
   Experience
  </strong>
  : 6+ Years
  <br/>
  <strong>
   Location
  </strong>
  : Islamabad (Onsite)
 </p>
 Role Overview
 <p>
  We are seeking a
  <strong>
   high-level AI Architect
  </strong>
  to serve as a
  <strong>
   Senior Solution Architect
  </strong>
  for our real-time automation and intelligence ecosystem. This role is both
  <strong>
   strategic and hands-on at the architectural level
  </strong>
  , acting as a technical mentor and trusted advisor to engineering teams.
 </p>
 <p>
  You will be responsible for defining and evolving the
  <strong>
   enterprise architecture
  </strong>
  that underpins real-time data processing, automation, and AI/ML workflows. The role requires a visionary mindset, strong problem-solving capability, and the ability to design scalable, future-ready systems that support complex, high-throughput AI use cases.
 </p>
 Key Responsibilities
 <p>
  <strong>
   Solution Mentorship &amp; Technical Leadership
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Act as a technical authority and mentor for engineering teams
   </p>
  </li>
  <li>
   <p>
    Guide best practices for real-time data streaming, event-driven architectures, and low-latency processing
   </p>
  </li>
  <li>
   <p>
    Review designs and implementations to ensure architectural consistency and technical excellence
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Architecture &amp; Gap Analysis
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Analyze existing platforms to identify architectural gaps, performance bottlenecks, and scalability risks
   </p>
  </li>
  <li>
   <p>
    Design and propose robust, enterprise-grade architectural improvements
   </p>
  </li>
  <li>
   <p>
    Define target-state architectures aligned with long-term business and AI strategy
   </p>
  </li>
 </ul>
 <p>
  <strong>
   System Orchestration &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Design and oversee the integration of distributed systems, messaging platforms, and data pipelines
   </p>
  </li>
  <li>
   <p>
    Ensure seamless, reliable data flow across heterogeneous enterprise systems
   </p>
  </li>
  <li>
   <p>
    Define standards for system interoperability, resilience, and observability
   </p>
  </li>
 </ul>
 <p>
  <strong>
   AI/ML Infrastructure &amp; Enablement
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Architect the data and compute foundations required for AI/ML workloads, including agentic workflows and real-time analytics
   </p>
  </li>
  <li>
   <p>
    Enable large-scale automation, intelligent decisioning, and near-real-time inference
   </p>
  </li>
  <li>
   <p>
    Ensure architectures support model lifecycle management, scalability, and performance
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Technical Governance &amp; Quality
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Ensure architectural designs align with industry standards, security requirements, and scalability goals
   </p>
  </li>
  <li>
   <p>
    Provide high-level design documentation, reference architectures, and technical blueprints
   </p>
  </li>
  <li>
   <p>
    Support roadmap definition and continuous architectural evolution
   </p>
  </li>
 </ul>
 Technical Requirements
 <ul>
  <li>
   <p>
    <strong>
     Expert-level experience with distributed systems
    </strong>
    , including:
   </p>
   <ul>
    <li>
     <p>
      Real-time stream processing
     </p>
    </li>
    <li>
     <p>
      Distributed storage platforms
     </p>
    </li>
    <li>
     <p>
      Low-latency analytical databases
     </p>
    </li>
   </ul>
  </li>
  <li>
   <p>
    Proven experience designing
    <strong>
     enterprise-scale, high-throughput data architectures
    </strong>
   </p>
  </li>
  <li>
   <p>
    Strong background in
    <strong>
     event-driven and real-time processing ecosystems
    </strong>
   </p>
  </li>
  <li>
   <p>
    Experience supporting
    <strong>
     AI/ML platforms
    </strong>
    , data fabrics, and automation frameworks
   </p>
  </li>
  <li>
   <p>
    Demonstrated ability to translate complex technical challenges into scalable architectural solutions
   </p>
  </li>
 </ul>
 Leadership &amp; Soft Skills
 <ul>
  <li>
   <p>
    Strong
    <strong>
     mentorship and coaching experience
    </strong>
    with senior engineering teams
   </p>
  </li>
  <li>
   <p>
    Ability to influence architectural direction across multiple teams and stakeholders
   </p>
  </li>
  <li>
   <p>
    Excellent communication skills, capable of articulating complex designs to both technical and non-technical audiences
   </p>
  </li>
  <li>
   <p>
    Strategic mindset with a focus on long-term platform evolution
   </p>
  </li>
 </ul>
 Nice to Have
 <ul>
  <li>
   <p>
    Experience with cloud-native and hybrid architectures
   </p>
  </li>
  <li>
   <p>
    Exposure to MLOps, DataOps, or platform engineering practices
   </p>
  </li>
  <li>
   <p>
    Experience in regulated or large enterprise environments
   </p>
  </li>
 </ul>
 Why Join
 <ul>
  <li>
   <p>
    Shape the
    <strong>
     architectural foundation of advanced AI and automation platforms
    </strong>
   </p>
  </li>
  <li>
   <p>
    Influence enterprise-scale technical decisions with long-term impact
   </p>
  </li>
  <li>
   <p>
    Work in a senior, high-visibility role with strong ownership and autonomy
   </p>
  </li>
 </ul>
</div>


AI Architect

NTT DATA

<b>Req ID:</b> 367710
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a Dev Ops. Architect to join our team in Austin, Texas (US-TX), United States (US).
<br><br>
A DevOps Architect is the visionary behind an organization’s automation and cloud infrastructure strategy and a part of NTT DATA’s CCoE. He/ She will design the tools, and systems that power efficient software delivery. The DevOps Architect will take a higher-level approach—designing frameworks that guide teams and systems toward automation excellence. The DevOps Architect acts as both strategist and engineer, designing systems that ensure automation, scalability, and operational excellence.
<br><br>
<b>key responsibilities:</b><br>
Designing the framework for scalable and secure CI/CD pipelines.
<br><br>
Overseeing the architecture of infrastructure-as-code (IaC) templates for consistent environment provisioning.
<br><br>
Recommend Integration of DevOps tools across multi cloud environments.
<br><br>
Establish governance, monitoring, and compliance frameworks.
<br><br>
Define automation standards and best practices in consultation with engineering teams.
<br><br>
Define and guide code-driven automation.
<br><br>
Operate across multiple cloud platforms such as AWS, Azure, OCI and Google Cloud. The DevOps Architect ensures seamless interoperability between these environments—maintaining performance, security, and cost efficiency.
<br><br>
Design frameworks and reference architectures that embrace DevSecOps principles, embedding security checks into every stage of the CI/CD pipeline. From automated vulnerability scans to compliance audits, they ensure that deployments remain secure by design.
<br><br>
Align DevOps strategy with business outcomes.
<br><br>
<b>Key Skills:</b><br>
<b>Must be proficient in:</b><br>
<ul>
<li>Cloud Platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP).</li>
<li>Automation Tools: Jenkins, GitLab CI/CD, CircleCI, and Bamboo.</li>
<li>Containerization Orchestration: Docker and Kubernetes for scalable microservices management.</li>
<li>Infrastructure as Code: Terraform, Ansible, Puppet, and Chef.</li>
<li>Monitoring Tools: Prometheus, Grafana.</li>
</ul>
<b>Required Educational Background:</b><br>
Degree in Computer science or equivalent practical experience
<br><br>
<b>One or more certifications, including:</b> AWS Certified DevOps Engineer – Professional, Microsoft Certified: DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, Kubernetes Certified Administrator (CKA)
<br><br>
<b>Practical experience:</b><br>
5-7 years experience as a DevOps practitioner with at least 2 years as a DevOps Architect
<br><br>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,558- $170,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
<br><br>
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits
<br><br>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Dev Ops. Architect

Carease Health

<div><p><b>AI Architect</b></p><p><b>
About Carease Health</b></p><p>
Carease Health is a nationwide preventative healthcare company focused on reducing hospitalizations and improving outcomes for high-risk patients.</p><p>
We are dedicated to improving the lives of nursing home residents through remote patient monitoring, chronic care management, and psychiatric collaborative care services.</p><p>
Our mission is to keep patients healthier, safer, and supported outside of the hospital setting by leveraging technology, clinical expertise, and proactive care coordination.</p><p>
At Carease Health, we believe in teamwork, compassion, and supporting one another so every employee feels valued and empowered to make a real difference in patient care.</p><p><b>
Role Overview</b></p><p>
We are seeking a highly skilled AI Architect to design, build, and scale production AI systems that power clinical, operational, and revenue workflows across the organization.</p><p>
This is a hands-on architecture role. You will not only design systems but also actively build and deploy them in production environments.</p><p>
You will be responsible for shaping how AI is used across the company, including large language model applications, automation systems, and integrations across healthcare platforms.</p><p><b>
What You Will Do</b></p><ul><li>Design and build production-grade AI systems using LLM APIs such as OpenAI and Claude</li><li>Architect scalable workflow automation across clinical, billing, and operational teams</li><li>Build and maintain integrations with EMR, CRM, and internal healthcare systems</li><li>Develop internal tools, dashboards, and AI-powered utilities used across the organization</li><li>Work closely with leadership to identify opportunities to apply AI to real operational problems</li><li>Define system architecture, data flows, and infrastructure patterns for AI adoption at scale</li><li>Ensure reliability, security, and performance of AI-driven systems in a healthcare environment</li></ul><p><b>
What We Are Looking For</b></p><ul><li>Strong hands-on experience in software engineering, preferably backend (Python, Node.js, or similar)</li><li>Proven experience building and scaling production systems</li><li>Deep familiarity with APIs, system integrations, and distributed systems concepts</li><li>Experience working with or deploying LLM-based applications is strongly preferred</li><li>Ability to design end-to-end system architecture and own technical decisions</li><li>Strong problem-solving skills and ability to work across complex systems</li></ul><p><b>
Nice to Have</b></p><ul><li>Experience in healthcare technology, EMR systems, or clinical workflows</li><li>Background in workflow automation or enterprise system integration</li><li>Experience with data pipelines, orchestration frameworks, or event-driven systems</li><li>Familiarity with compliance-sensitive environments (HIPAA or similar)</li></ul><p><b>
Why Join Carease Health</b></p><ul><li>High-impact work directly improving patient outcomes</li><li>Opportunity to shape the AI strategy and architecture of a growing healthcare organization</li><li>Direct collaboration with leadership and decision-makers</li><li>Fast-moving environment with high ownership and autonomy</li><li>Meaningful mission focused on reducing hospitalizations and improving quality of care</li></ul><p><b>
Compensation and Location</b></p><ul><li>Salary: $200,000 to $240,000 base</li><li>Performance-based bonus</li><li>Location: Lakewood, NJ and NYC</li><li>Hybrid preferred</li></ul><p><b>
How to Apply</b></p><p>
If you are excited about building real-world AI systems that directly impact patient care, we encourage you to apply.</p><p>
Please submit your resume and any relevant project or system experience.</p></div><p></p>

AI Architect Hybrid

The Optimal Group

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


Starlink Qatar

<div>
 <p>
  <strong>
   Job Title: AI Architect
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Design and deliver end-to-end AI solutions, with a strong focus on building business cases tailored to the sports, sports performance, education, and medical industries. The role involves leveraging machine learning, natural language processing, and data analytics to develop scalable, high-impact AI systems that enhance operational efficiency and domain-specific outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   AI Solution Architecture &amp; Delivery
  </strong>
 </p>
 <ul>
  <li>
   Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
  </li>
  <li>
   Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution delivery.
  </li>
  <li>
   Align AI solutions with organizational priorities across sports, healthcare, and education sectors.
  </li>
 </ul>
 <p>
  <strong>
   Enterprise System &amp; Data Integration
  </strong>
 </p>
 <ul>
  <li>
   Integrate cloud-based AI services with enterprise systems such as ERP, CRM, medical, and sports performance platforms.
  </li>
  <li>
   Enable seamless connectivity between structured data (databases, KPIs) and unstructured data (documents, video, medical records).
  </li>
  <li>
   Utilize APIs, middleware, and automation tools to streamline data pipelines and workflows.
  </li>
 </ul>
 <p>
  <strong>
   AI Governance &amp; Risk Management
  </strong>
 </p>
 <ul>
  <li>
   Ensure compliance with data protection regulations such as GDPR, HIPAA, and relevant local laws.
  </li>
  <li>
   Monitor AI systems for bias, transparency, and explainability.
  </li>
  <li>
   Implement security, governance, and ethical AI best practices.
  </li>
 </ul>
 <p>
  <strong>
   Applied AI Enablement
  </strong>
 </p>
 <ul>
  <li>
   Deploy and customize existing AI models for practical, real-world applications.
  </li>
  <li>
   Configure conversational AI, knowledge agents, and analytics tools to support business operations.
  </li>
  <li>
   Continuously evaluate advancements in AI platforms and implement enhancements.
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder &amp; Client Management
  </strong>
 </p>
 <ul>
  <li>
   Collaborate with internal stakeholders to identify opportunities for AI adoption.
  </li>
  <li>
   Present AI solutions with clear, measurable business value.
  </li>
  <li>
   Act as a trusted advisor for AI-driven transformation initiatives.
  </li>
 </ul>
 <p>
  <strong>
   Performance &amp; Scalability
  </strong>
 </p>
 <ul>
  <li>
   Optimize AI systems for performance, scalability, and reliability.
  </li>
  <li>
   Establish monitoring frameworks and continuous improvement processes.
  </li>
  <li>
   Define KPIs and track ROI for AI implementations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Minimum 8+ years of experience in Solution Architecture.
  </li>
  <li>
   At least 4 years of hands-on experience in applied AI/ML projects.
  </li>
  <li>
   Mandatory: Bilingual (Arabic speaker)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications
  </strong>
 </p>
 <ul>
  <li>
   AI-related certifications such as Microsoft Certified AI Developer/Architect.
  </li>
  <li>
   Experience with Azure AI Foundry and Google Cloud AI/ML platforms.
  </li>
  <li>
   Additional software development certifications (e.g., Microsoft Certified Developer/Architect) are a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Competencies
  </strong>
 </p>
 <ul>
  <li>
   Strong expertise in designing and delivering AI-driven solutions.
  </li>
  <li>
   Proficiency in AI concepts, tools, frameworks, and models.
  </li>
  <li>
   Experience with solution architecture methodologies, including evaluation techniques, component modeling, and impact analysis.
  </li>
  <li>
   Solid understanding of SDLC, requirements analysis, and technical design (high-level and detailed).
  </li>
  <li>
   Hands-on experience with Azure AI Foundry for enterprise AI lifecycle management.
  </li>
  <li>
   Expertise in Google Agent Builder, SDKs for mobile agents, and multi-agent systems.
  </li>
  <li>
   Strong knowledge of Advanced Retrieval-Augmented Generation (RAG) for enterprise knowledge systems.
  </li>
  <li>
   Proficiency in data and database architecture (SQL, NoSQL, vector databases, knowledge graphs).
  </li>
  <li>
   Ability to design secure, scalable, and high-performance AI systems.
  </li>
  <li>
   Excellent communication skills to bridge technical and business stakeholders.
  </li>
 </ul>
 <p>
 </p>
</div>


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