electrical engineer

mechanical engineer

civil engineer

estimation engineer

project engineer

intelligence engineer

AppliedAI

<div>
 
 
 AI Engineer
 
 
 
 On-site | Abu Dhabi
 
 
 
 
 
 AppliedAI is a pioneering AI technology company headquartered in Abu Dhabi, committed to innovation and excellence in artificial intelligence solutions in regulated industries such as healthcare, insurance, government, and financial services.
 
 
 
 
 
 
 
 Opus is the world's first
 
 Knowledge Work AI platform
 
 . Built by AppliedAI to pioneer
 
 Supervised Automation
 
 , a human-in-the-loop model where AI handles repetitive, structured tasks while human experts provide crucial oversight at defined intervals.
 
 
 
 
 
 
 
 The platform uses its proprietary
 
 Large Work Model
 
 to generate and orchestrate outcome-based workflows, enabling a dramatic reduction in the cost of knowledge work and allowing human talent to focus on high-value, creative, and judgement-intensive activities.
 
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 
 
 As an Opus AI Engineer, you will contribute to the development, optimization, and reliability of Opus&rsquo;s AI infrastructure. You&rsquo;ll work in a cross-functional UAE-based team to build, maintain, and improve the systems that power Opus&rsquo;s AI features, from inference pipelines and workflow orchestration to prompt alignment and agentic integrations.
 
 
 
 
 
 Your focus will be on implementing clean, efficient, and observable systems that ensure Opus&rsquo;s AI features deliver consistent, high-quality performance for users.
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain AI inference and orchestration pipelines used in production.
 </li>
 <li>
 Optimize model-serving performance, latency, and reliability across live systems.
 </li>
 <li>
 Implement observability, logging, and monitoring for AI components.
 </li>
 <li>
 Contribute to prompt and alignment improvements to enhance response quality and consistency.
 </li>
 <li>
 Refactor existing code for modularity, clarity, and maintainability.
 </li>
 <li>
 Collaborate with senior engineers and product teams to deliver stable, user-facing AI features.
 </li>
 <li>
 Participate in design reviews, testing, and rollout of new systems and improvements.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 2 - 4 years of experience in ML or backend engineering.
 </li>
 <li>
 1+ years working on LLM prompt design, model behavior shaping, or symbolic product-logic integration into language systems.
 </li>
 <li>
 Strong Python programming skills and understanding of production ML systems.
 </li>
 <li>
 Familiar with orchestration tools (Airflow, Celery, Kubernetes) and cloud environments (AWS, GCP, Azure).
 </li>
 <li>
 Experience deploying and monitoring inference pipelines (e.g. LLMs, CV models, or similar APIs).
 </li>
 <li>
 Knowledge of observability tools and performance debugging.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why join AppliedAI:
 
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a highly innovative AI technology company.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Growing, entrepreneurial and forward-thinking culture.
 </li>
 <li>
 Career growth and professional development opportunities.
 </li>
 <li>
 Exposure to a thriving ecosystem working from our Abu Dhabi HQ.
 </li>
 </ul>
</div>

AI Engineer

Brain Co.

<div>
 
 About Brain Co.
 
 
 
 Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley&rsquo;s leading builders &mdash; including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world&rsquo;s most important institutions - delivering impact on real-world problems.Our progress so far
 
 
 <ul>
 <li>
 Automated construction permitting for a sovereign government &rarr; 80% faster, unlocking $375M+ in value
 </li>
 <li>
 Optimized supply chains for a leading global energy company &rarr; 30% lower cost, 99% reliability, preventing $100M+ in losses
 </li>
 <li>
 Streamlined hospital patient care across national health systems &rarr; 40% better outcomes, 80% less admin work
 </li>
 <li>
 Raised a $30M Series A from top investors
 </li>
 <li>
 Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
 
 
 </li>
 </ul>
 At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.
 
 
 
 About The Role
 
 
 
 As an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.
 </li>
 <li>
 Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.
 </li>
 <li>
 Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.
 </li>
 <li>
 Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.
 </li>
 <li>
 Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Hold a BSc/Master&rsquo;s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.
 </li>
 <li>
 Have at least a high level familiarity with the architecture and operation of large language models.
 </li>
 <li>
 Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.
 </li>
 <li>
 Possess a strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Can work collaboratively with cross-functional teams.
 </li>
 <li>
 Thrive in fast-paced environments where priorities or deadlines may compete.
 </li>
 <li>
 Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary plus equity
 </li>
 <li>
 Daily lunches
 </li>
 <li>
 Commuter benefits
 </li>
 <li>
 401(k)
 </li>
 <li>
 Medical, Dental and Vision
 </li>
 <li>
 Unlimited PTO
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Ship quickly, iterate constantly and see your work deployed at global scale
 </li>
 <li>
 Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
 </li>
 <li>
 Accelerate your career with ownership based on impact, not tenure
 </li>
 <li>
 Earn competitive compensation + meaningful equity in a high-growth company
 </li>
 <li>
 Thrive in a culture built on speed, curiosity, and impact
 
 
 </li>
 </ul>
 
 If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.
 
 
 
 
 
 This is a hybrid role that can be based in either our Abu Dhabi or Doha office
 
 
</div>

AI/ML Engineer, Deployed

D4 Insight

<div>Location: Abu Dhabi 
Experience: 5+ Years
<h3 class="jobSectionHeader">
Role Overview:</h3>

We are looking for AI Engineer specializing in Conversational AI, Virtual Assistants, and LLM-powered customer engagement solutions. The role involves building intelligent, context-aware conversational systems for banking environments.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Design chatbot and virtual assistant experiences.</li>
<li>Build conversational workflows and dialogue management systems.</li>
<li>Integrate APIs and backend services.</li>
<li>Develop prompt libraries and response strategies.</li>
<li>Implement LLM evaluation, monitoring, and safety controls.</li>
<li>Ensure regulatory compliance and response quality.</li>
</ul><h3 class="jobSectionHeader">Required Skills:</h3>
<ul><li>LLMs &amp; Conversational AI</li>
<li>Prompt Engineering</li>
<li>API Integration</li>
<li>Agentic AI Frameworks</li>
<li>Evaluation &amp; Guardrails</li>
<li>Python</li>
</ul>
 Apply Now: [email protected]</div>

AI Engineer – Conversational AI

Core42

<div>
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning itself at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking an Engineer &ndash; Data Analytics and Reporting to establish, enhance, and manage operational metrics and KPI frameworks across Core42&rsquo;s platforms. This role will focus on driving data-driven decision-making through advanced reporting, dashboarding, and analytics, ensuring service performance aligns with SLAs and operational objectives.
 
 
 Working within the Product Operations team, you will collaborate closely with Service Managers, Process Owners, and ITSM teams to deliver actionable insights that improve service efficiency and performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Analytics &amp; Reporting
 
 
 <ul>
 <li>
 Design, develop, and maintain performance dashboards using Power BI and Jira
 </li>
 <li>
 Create clear, actionable service performance reports for stakeholders and senior leadership
 </li>
 <li>
 Translate complex operational data into meaningful insights
 </li>
 </ul>
 
 
 KPI &amp; Metrics Management
 
 
 <ul>
 <li>
 Define and maintain service efficiency and effectiveness metrics
 </li>
 <li>
 Develop and manage a structured hierarchy of KPIs across platforms
 </li>
 <li>
 Ensure alignment of metrics with SLAs and OLAs
 </li>
 </ul>
 
 
 Operational Performance Management
 
 
 <ul>
 <li>
 Oversee cloud platform capacity reporting and utilisation tracking
 </li>
 <li>
 Own and manage operational review reports, ensuring clarity and consistency
 </li>
 <li>
 Monitor performance trends and identify improvement opportunities
 </li>
 </ul>
 
 
 Stakeholder Management &amp; Communication
 
 
 <ul>
 <li>
 Act as the primary point of contact for performance reporting requests
 </li>
 <li>
 Manage stakeholder expectations and ensure reporting meets business needs
 </li>
 <li>
 Present reports and insights to stakeholders in a clear and structured manner
 </li>
 </ul>
 
 
 Governance &amp; Continuous Improvement
 
 
 <ul>
 <li>
 Formalise reporting structures and ensure consistency across all outputs
 </li>
 <li>
 Ensure data integrity, accuracy, and compliance with reporting standards
 </li>
 <li>
 Support continuous improvement initiatives across service operations
 </li>
 </ul>
 
 
 Qualifications &amp; Experience
 
 
 
 
 Required
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative or technical field
 </li>
 <li>
 
 3&ndash;5 years of experience
 
 in data analytics or IT operational reporting within an ITIL/ITSM environment
 </li>
 <li>
 Advanced proficiency in
 
 Power BI
 
 and strong experience with
 
 Jira reporting (JQL)
 
 </li>
 <li>
 Strong SQL skills for data extraction and analysis
 </li>
 <li>
 Experience managing service performance metrics aligned to SLAs and OLAs
 </li>
 <li>
 ITIL 4 Foundation certification
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 Microsoft Certified: Power BI Data Analyst Associate
 </li>
 <li>
 Experience with cloud platform capacity reporting and operational analytics
 </li>
 <li>
 Experience leading operational review meetings and stakeholder reporting
 </li>
 <li>
 Strong attention to detail and ability to ensure data integrity
 </li>
 </ul>
 
 
 
 
 
 What working at Core42 offers
 
 
 
 With a diverse team of 1,100+ employees from 68 nationalities, we foster an inclusive, innovative and collaborative environment. At Core42, we foster a culture grounded in trust, accountability and high performance. We are united by our values: Grit, where we overcome challenges with resilience and determination, Passion, which drives us to pursue excellence in everything we do, and Impact, as we aim to inspire progress and create meaningful change. Our team members thrive in an environment where each person&rsquo;s contributions propel us forward, and together, we commit to achieving extraordinary results.
 
 <ul>
 <li>
 Competitive Salary: We offer an attractive salary package based on your skills and experience
 </li>
 <li>
 Yearly Bonus: In recognition of your contributions, you will receive a performance-based annual bonus
 </li>
 <li>
 Exclusive Discount Cards: Access special benefits with Esaad and Fazaa cards, offering discounts across a wide range of services
 </li>
 <li>
 Premium Family Insurance: We provide comprehensive health coverage, including dental, vision and life insurance, ensuring the well-being of you and your family
 </li>
 <li>
 Learning &amp; Development: We offer access to top-tier learning platforms to help you grow in your career. Learn at your own pace with unlimited access to premium courses
 </li>
 </ul>
 
 
</div>

Data Analytics and Reporting Engineer

Analog

<div>
 
 Overview
 
 
 
 Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.
 
 
 At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.
 
 
 
 IT Engineer ( ITOps)
 
 
 
 We are seeking a proactive and detail-oriented
 
 IT Engineer
 
 to own and scale our internal IT infrastructure and operations. This role is responsible for ensuring secure, reliable, and efficient IT systems that empower our team to do their best work.
 
 
 You will manage end-user support, SaaS systems, device lifecycle management, identity and access management (IAM), and security best practices across the organization. This is a hands-on role ideal for someone who thrives in fast-paced environments and enjoys building scalable IT foundations from the ground up.
 
 
 
 Responsibilities
 
 
 
 
 IT Operations &amp; End-User Support
 
 
 
 <ul>
 <li>
 Provide support for hardware, software, and network issues
 </li>
 <li>
 Manage onboarding and offboarding processes (device provisioning, access control, account setup)
 </li>
 <li>
 Own device lifecycle management (MDM, procurement, configuration, asset tracking)
 </li>
 <li>
 Maintain documentation for IT processes, systems, and policies
 
 
 </li>
 </ul>
 
 Identity &amp; Access Management
 
 
 
 <ul>
 <li>
 Administer SSO, MFA, and role-based access controls
 </li>
 <li>
 Manage provisioning/deprovisioning workflows across SaaS tools
 </li>
 <li>
 Conduct periodic access reviews and ensure least-privilege principles
 
 
 </li>
 </ul>
 
 Systems &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Manage and optimize core SaaS stack (e.g., Microsoft Suite, Slack, Notion, Jira, etc.)
 </li>
 <li>
 Monitor system performance and uptime
 </li>
 <li>
 Support networking infrastructure (VPN, Wi-Fi, firewall configurations where applicable)
 </li>
 <li>
 Partner with Security on endpoint protection, patching, and compliance controls
 
 
 </li>
 </ul>
 
 Security &amp; Compliance
 
 
 
 <ul>
 <li>
 Implement and maintain endpoint security tools (EDR, MDM, disk encryption)
 </li>
 <li>
 Support audit readiness (SOC 2, ISO 27001, etc.)
 </li>
 <li>
 Enforce IT policies and best practices
 </li>
 <li>
 Assist in incident response and root cause analysis
 
 
 </li>
 </ul>
 
 Procurement &amp; Vendor Management
 
 
 
 <ul>
 <li>
 Own IT procurement processes for hardware, software, and SaaS tools
 </li>
 <li>
 Manage vendor relationships, renewals, and licensing agreements
 </li>
 <li>
 Track IT budget related to hardware, software subscriptions, and tooling
 </li>
 <li>
 Optimize license utilization and SaaS spend
 </li>
 <li>
 Partner with Finance and Security on vendor reviews and due diligence
 </li>
 <li>
 Maintain accurate asset inventory and cost tracking
 
 
 </li>
 </ul>
 
 Automation &amp; Continuous Improvement
 
 
 
 <ul>
 <li>
 Identify and implement automation opportunities (e.g., onboarding workflows, device configuration)
 </li>
 <li>
 Improve IT processes for scalability and efficiency
 </li>
 <li>
 Evaluate and recommend new tools and technologies
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience in IT Operations, IT Support, or Systems Administration
 </li>
 <li>
 Experience managing SaaS environments and SSO platforms (e.g., Okta, Azure AD)
 </li>
 <li>
 Experience managing IT procurement, vendor relationships, and SaaS licensing
 </li>
 <li>
 Hands-on experience with MDM tools (e.g., Jamf, Kandji, Intune)
 </li>
 <li>
 Strong understanding of endpoint security best practices
 </li>
 <li>
 Experience with Mac and Windows environments
 </li>
 <li>
 Familiarity with networking fundamentals (DNS, DHCP, VPNs, firewalls)
 </li>
 <li>
 Experience supporting compliance frameworks (SOC 2, ISO, etc.) is a plus
 </li>
 <li>
 Strong documentation and communication skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience in a high-growth startup
 </li>
 <li>
 Scripting or automation experience (Bash, Python, PowerShell)
 </li>
 <li>
 Familiarity with zero-trust security models
 </li>
 <li>
 Experience with cloud infrastructure environments (AWS, GCP, Azure)
 </li>
 <li>
 Experience building procurement or asset management processes from scratch
 
 
 </li>
 </ul>
 
 What Working At Analog Offers
 
 
 
 <ul>
 <li>
 Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we&rsquo;re united by a belief that technology should amplify human potential rather than replace it.
 </li>
 <li>
 Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.
 </li>
 <li>
 Growth: Outstanding opportunities for learning and career development. You&rsquo;ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.
 </li>
 <li>
 Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.
 </li>
 </ul>
</div>

IT Engineer

Fecundity Technologies

Role Overview: We are looking for a Senior Platform Engineer to design, build, and scale Azure cloud and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.Key Responsibilities:<ul><li>Greenfield Infrastructure: Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li>AI Orchestration: Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li>Infrastructure as Code: Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>API &amp; Connectivity: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li>FinOps &amp; Monitoring: Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>Automation: Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul>Technical Requirements:<ul><li>Cloud: 5+ years experience with Azure Cloud Platform.</li><li>IaC: Expert-level Terraform skills.</li><li>AI Stack: Familiarity with Azure AI Foundry and OpenAI Service.</li><li>Networking: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li>APIs: Hands-on experience with Azure APIM or Kong.</li></ul>Deployment Architecture: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.Pay: AED18,000.00 - AED24,000.00 per monthApplication Question(s):<ul><li>How many years of hands-on experience do you have with Microsoft Azure?</li><li>Have you built an Azure environment from scratch (Greenfield / Landing Zone approach)?</li><li>Please provide an example of a complex Terraform module you&rsquo;ve built.</li><li>Do you have hands-on experience with Azure AI services (OpenAI, AI Search, Document Intelligence, etc.)?</li><li>How do you monitor and optimize Azure cloud costs?</li><li>Which tools or approaches have you used for monitoring and alerting (Azure Monitor, Log Analytics, etc.)?</li></ul>Work Location: In person

Sr. AI Cloud Platform Engineer – Azure (Banking Industry)

Role Overview: We are looking for a Senior Platform Engineer to design, build, and scale Azure cloud and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.Key Responsibilities:<ul><li>Greenfield Infrastructure: Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li>AI Orchestration: Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li>Infrastructure as Code: Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>API &amp; Connectivity: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li>FinOps &amp; Monitoring: Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>Automation: Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul>Technical Requirements:<ul><li>Cloud: 8+ years experience with Azure Cloud Platform.</li><li>IaC: Expert-level Terraform skills.</li><li>AI Stack: Familiarity with Azure AI Foundry and OpenAI Service.</li><li>Networking: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li>APIs: Hands-on experience with Azure APIM or Kong.</li></ul>Deployment Architecture: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.Pay: AED26,000.00 - AED31,000.00 per monthApplication Question(s):<ul><li>Which tools or approaches have you used for monitoring and alerting (Azure Monitor, Log Analytics, etc.)?</li><li>Have you worked in environments with strict cost governance or quotas?</li><li>Have you created cloud architecture diagrams and presented solutions to stakeholders?</li><li>Describe a complex cloud architecture you designed (include security, scalability, and reliability considerations).</li></ul>Work Location: In person

Lead AI Cloud Platform Engineer (Banking Industry)

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