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Confidential

<div>
 
 Data &amp; AI Director
 
 
 (available different job levels for the same section)
 
 
 This role directs Authority's data and analytics function, covering data governance and management, AI &amp; data analytics, and data platforms. The position sets data strategy and standards, oversees analytical products and AI models, and manages platforms that ingest, integrate, and serve reliable data. It focuses on improving data quality and protection, enabling evidence-based decisions, and delivering analytical solutions that support policy, compliance, operations, and taxpayer services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Governance &amp; Management
 
 
 <ul>
 <li>
 Sets the Authority-wide data governance framework, roles, and standards (quality, protection, retention, metadata, lineage).
 </li>
 <li>
 Defines and enforces master/reference data models and business glossaries; drives stewardship in business units.
 </li>
 <li>
 Establishes data quality controls, issue management, and remediation SLAs; monitors critical data elements.
 </li>
 <li>
 Oversees data privacy and access controls with Cybersecurity &amp; Enterprise Risk; ensures compliant sharing and usage.
 </li>
 <li>
 Guides policies for third-party/externally sourced data, licensing, and ethical use.
 </li>
 </ul>
 
 
 AI &amp; Data Analytics
 
 
 <ul>
 <li>
 Directs design and delivery of analytical products (descriptive, diagnostic, predictive) and AI/ML models supporting registration, filing, revenue, compliance risk, and service operations.
 </li>
 <li>
 Sets standards for feature engineering, model training/validation, monitoring, and version control; performs drift/bias checks and documentation.
 </li>
 <li>
 Oversees BI/reporting solutions and self-service dashboards; ensures accuracy, timeliness, and clear definitions.
 </li>
 <li>
 Leads experimentation, PoCs, and model lifecycle reviews; retires/refreshes models based on performance and business value.
 </li>
 <li>
 Coordinates with functional teams to embed analytics into processes (alerts, case scoring, workflows) and measure impact.
 </li>
 </ul>
 
 
 Data Platforms
 
 
 <ul>
 <li>
 Directs architecture and roadmap for data ingestion, integration, storage, and processing (data lake/warehouse, streaming, MDM).
 </li>
 <li>
 Oversees pipelines, ETL/ELT, API integrations, and data virtualization to ensure completeness, scalability, and reliability.
 </li>
 <li>
 Ensures platform security, performance, and cost control; approves capacity and disaster recovery plans.
 </li>
 <li>
 Manages product backlog for data platforms; prioritises enhancements and release management with IT/Application teams.
 </li>
 <li>
 Establishes reusable data products and curated datasets for policy, audit, revenue, and service use cases.
 </li>
 </ul>
 
 
 Governance, Risk &amp; Ethics
 
 
 <ul>
 <li>
 Maintains the data/AI risk register; defines controls for privacy, model risk, explainability, and human-in-the-loop review.
 </li>
 <li>
 Ensures compliance with internal policies and applicable standards; closes internal/external audit findings with sustainable fixes.
 </li>
 <li>
 Sets procedures for consent, minimisation, and sensitive-data handling; reviews requests for new high-risk use cases.
 </li>
 </ul>
 
 
 Operations, Performance &amp; Financials
 
 
 <ul>
 <li>
 Defines KPIs and dashboards for data quality, platform reliability (uptime, latency), model performance, and BI adoption.
 </li>
 <li>
 Oversees demand intake, effort/benefit assessment, and delivery cadence; resolves cross-team dependencies.
 </li>
 <li>
 Manages vendor contracts, tools, and licenses; tracks run-vs-change spend and unit costs; drives optimisation.
 </li>
 </ul>
 
 
 Stakeholder Coordination &amp; Enablement
 
 
 <ul>
 <li>
 Aligns with Information Technology, Applications &amp; Digital Experience, and Infrastructure &amp; Operations on integrations, security, and releases.
 </li>
 <li>
 Partners with Policy &amp; Legislation, Taxpayer Affairs, and Compliance to translate priorities into data/AI initiatives and measurable outcomes.
 </li>
 <li>
 Builds data literacy and self-service capabilities through standards, training, and a governed semantic layer/metrics store.
 </li>
 </ul>
 
 Publishes periodic insights and risk reports to support leadership decisions.
 
 
 
 
 
 
 Preferred Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, Economics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree (e.g., Data/Analytics, Information Systems, Statistics, MBA/MPA) is an advantage.
 </li>
 </ul>
 
 Relevant certifications are an advantage (e.g., DAMA/DMBOK, CDMP, cloud data certifications, ML/AI certifications, ITIL/COBIT).
 
 <ul>
 <li>
 16+ years across data governance/management, analytics/AI, and data platform engineering, including leadership of multi-disciplinary teams.
 </li>
 <li>
 Proven delivery of organisation-wide data standards, high-value analytical products, and resilient data platforms.
 </li>
 <li>
 Experience embedding models into operations (risk scoring, anomaly detection, performance dashboards) and monitoring outcomes.
 </li>
 </ul>
 
 Coordination with cybersecurity, applications, infrastructure, and business departments; vendor and contract management.
 
 <ul>
 <li>
 Data architecture (lake/warehouse, MDM), ETL/ELT, APIs/integration, and metadata/lineage management.
 </li>
 <li>
 Data quality and protection controls; role-based access, tokenisation/segmentation where applicable.
 </li>
 <li>
 Analytics/ML lifecycle (feature stores, model ops, monitoring) and BI product management.
 </li>
 <li>
 KPI design, experiment/impact measurement, and concise executive reporting.
 </li>
 </ul>
 
 Strong stakeholder engagement, prioritisation, and decision-making grounded in evidence.
 
</div>

Data & AI Director

Envision Employment Solutions

<div>
 
 
 Description
 
 
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Senior Account Specialist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly driven Senior Account Specialist to lead enterprise account management and revenue growth across strategic accounts. This role requires strong experience in selling customized enterprise IT solutions, particularly in Data, AI, and system integration environments.
 
 
 
 
 
 The ideal candidate is commercially sharp, relationship-driven, and experienced in managing the full sales lifecycle &mdash; from hunting and bidding to project implementation and revenue expansion.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Account &amp; Revenue Ownership
 
 
 
 &bull; Own the full account management lifecycle
 
 
 &bull; Act as the primary point of contact for assigned enterprise clients
 
 
 &bull; Meet or exceed revenue targets through new customer acquisition and cross/upselling
 
 
 &bull; Drive footprint expansion within allocated accounts
 
 
 &bull; Generate and maintain accurate revenue forecasts
 
 
 
 
 
 
 New Business Development
 
 
 
 &bull; Identify, qualify, and close new sales opportunities
 
 
 &bull; Prospect strategically into CTOs, IT leaders, engineering heads, and technical stakeholders
 
 
 &bull; Generate new leads through professional networks, cold outreach, and market research
 
 
 &bull; Build strong executive-level relationships with business and financial decision-makers
 
 
 
 
 
 
 Sales &amp; Bidding Management
 
 
 
 &bull; Own and manage the bidding process in collaboration with the bidding team
 
 
 &bull; Ensure accuracy and quality of proposals and bid submissions
 
 
 &bull; Independently negotiate and close small and mid-sized deals
 
 
 &bull; Support the Account Director in closing large enterprise deals
 
 
 
 
 
 
 Client Relationship &amp; Project Engagement
 
 
 
 &bull; Serve as a trusted advisor on data and technology solutions
 
 
 &bull; Understand client business models, data lifecycles, and transformation goals
 
 
 &bull; Participate from project kickoff through final sign-off
 
 
 &bull; Monitor customer satisfaction throughout implementation
 
 
 &bull; Identify risks and opportunities within active projects
 
 
 
 
 
 
 Market Intelligence &amp; Growth Strategy
 
 
 
 &bull; Conduct continuous market analysis of client industries and competitors
 
 
 &bull; Develop comprehensive account development plans covering revenue, risk, and opportunity
 
 
 &bull; Identify new business lines relevant to client needs
 
 
 &bull; Participate in trade shows and technology events to develop pipeline
 
 
 
 
 
 
 Commercial &amp; Administrative Management
 
 
 
 &bull; Use CRM to log activities, track pipeline, and generate sales reports
 
 
 &bull; Coordinate contract renewals and support collections
 
 
 &bull; Follow up on invoices and ensure payment collections
 
 
 &bull; Maintain updated customer documentation including contracts and proposals
 
 
 &bull; Coordinate with marketing teams on joint campaigns and lead generation
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s degree in Business, Computer Science, or related field
 
 
 &bull; Evidence of continued education in Sales and Technology
 
 
 &bull; Minimum 5 years of quota-carrying enterprise sales experience
 
 
 &bull; Mandatory experience in customized enterprise IT solutions sales
 
 
 &bull; Strong experience in Data-related solutions (Data Consultancy, Data Management, Data Lakehouse, BI, AI/LLM) highly preferred
 
 
 &bull; Alternative acceptable background: customized software solutions or system integration (not SaaS/license-only sales)
 
 
 &bull; Experience selling to large enterprises (Public Sector, Banking, Telecom)
 
 
 &bull; Strong regional network within Qatar
 
 
 &bull; Based in Qatar
 
 
 &bull; Native Arabic speaker with fluent English
 
 
 &bull; Familiarity with data technologies and open-source ecosystems is a plus
 
 
 &bull; Hands-on CRM experience preferred
 
 
 
 
 
 
 Skills &amp; Competencies:
 
 
 
 &bull; Excellent selling and negotiation skills
 
 
 &bull; Strong revenue-growth mindset
 
 
 &bull; Exceptional executive relationship-building ability
 
 
 &bull; Strong presentation and communication skills
 
 
 &bull; Commercially driven and results-oriented
 
 
 &bull; Strong forecasting and pipeline management skills
 
 
 &bull; High level of ownership and accountability
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 
 &bull; Basic salary
 
 
 &bull; Family Medical Insurance
 
 
 &bull; Round-trip family flight tickets once per year
 
 
 &bull; Visa coverage
 
 
 &bull;
 
 Location:
 
 Qatar
 
 
 &bull;
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 
 
 &bull;
 
 Working Hours:
 
 9 AM to 6 PM
 
 
 &bull;
 
 Days Off:
 
 Fridays and Saturdays
 
</div>

Senior Account Specialist [Sales]

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 Global System Integrators (GSI) play a crucial role in Canonical growth plans in the coming 3 years. We are hiring a
 
 Senior
 
 
 Partner Sales Manager
 
 to work closely with Canonical GSI partners throughout their sales cycles and across their sales organizations to facilitate Ubuntu based solutions and opportunities, as well as help GSI build long term digital transformation platforms with Ubuntu stacks and services.
 
 
 Working the the Partner Sales Director in their geographic region, the Senior Partner Sales Manager will be responsible for building trusted relationships with partners, increasing Canonical market share and attach rate, evangelizing about the partnership and leading all business interactions from engineers to CxO level. They will often run customer workshops focused on particular initiatives at that customer, attend sales events, give public presentations and participate in executive engagements as coordinated by the Senior Director.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Build strategic relationships with partners at levels, and stickiness with Ubuntu technology
 </li>
 <li>
 Deep understanding of Linux and cloud software ecosystem, and open source selling models
 </li>
 <li>
 Negotiate contracts and commercial business terms
 </li>
 <li>
 Deep understanding of partner organizations and sales models, in particular with Global System Integrators
 </li>
 <li>
 Work closely with marketing, sales engineering and product management to deliver on targets, objectives and provide a voice of the partner
 </li>
 <li>
 Lead executive interlocks between partners and Canonical leadership team
 </li>
 <li>
 Ability to travel - sometimes internationally - up to 40% of the time
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Extensive experience in alliance or indirect sales management roles
 </li>
 <li>
 Extensive experience with OpenStack, virtualization, containers and other Cloud technologies.
 </li>
 <li>
 Autonomous, disciplined, hands-on, get-it-done mentality
 </li>
 <li>
 Ability to capture customer requirements, evaluate gaps, identify and create opportunities
 </li>
 <li>
 Passionate about Ubuntu products and mission
 </li>
 <li>
 Comfortable in fast-paced and high pressure environments with ambitious achievement goals
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Senior Partner Sales Manager - Global System Integrator (GSI)

Starlink Qatar

<div>
 
 
 Job Title: AI Architect
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Solution Architecture &amp; Delivery
 
 
 <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>
 
 
 Enterprise System &amp; Data Integration
 
 
 <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>
 
 
 AI Governance &amp; Risk Management
 
 
 <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>
 
 
 Applied AI Enablement
 
 
 <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>
 
 
 Stakeholder &amp; Client Management
 
 
 <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>
 
 
 Performance &amp; Scalability
 
 
 <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>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <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>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 <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>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <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>
 
 
</div>

AI Architect

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

COZMALABS

We're looking for a Solution Architect who can lead the design of scalable, secure, and high-performance applications. You&rsquo;ll work closely with project management, Data, AI, and DevOps teams to bridge technical gaps, define best practices, and create architectures that meet business and user needs. You should be able to handle technical discussions with business and technical teams clearly and confidently.Key Responsibilities<ul><li>Collaborate with development teams to design scalable and maintainable applications across Data and AI.</li><li>Create detailed solution architecture documents, diagrams, and design artifacts.</li><li>Responsible for handling technical discussions with clients, developers, and business teams.</li><li>Provide technical leadership on Data &amp; AI architecture decisions.</li><li>Assess and select technologies to fit the needs of a project, considering performance, cost, and scalability.</li><li>Review code, architecture, and deployments to ensure alignment with best practices.</li><li>Support DevOps and cloud deployment strategies on Microsoft Azure</li><li>Help enforce security and networking standards within architecture</li><li>Conduct technical workshops and client presentations.</li><li>Full awareness of SDLC practices and techniques.</li><li>Stay up to date with the latest technologies and recommend adoption where appropriate.</li></ul>Technical SkillsData, AI, &amp; Cloud (Hands-On Experience required)<ul><li>Solid understanding of Azure Databricks, Azure Synapse Analytics, Azure Data Factory and other Azure SQL Databases</li></ul>&middot; Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI<ul><li>Experience of Microsoft Azure (App Services, Azure Functions, Azure DevOps, ARM/Bicep/Terraform templates, azure networking and security, etc.)</li><li>CI/CD, Infrastructure as Code (IaC), Monitoring, Security.</li></ul>Architecture &amp; Documentation (Hands-On Experience required)<ul><li>Flow diagrams, ERDs, data flow diagrams, HLD, LLD, sequence diagrams.</li><li>Architecture design patterns (Microservices, Monolith, Serverless, etc.)</li><li>Documenting and communicating technical decisions.</li></ul>Front-End (Nice to Have)<ul><li>React</li><li>Flutter, Native Android (Kotlin/Java), and iOS (Swift)</li></ul>Back-End (Hands-On Experience Required in one)<ul><li>Python</li><li>.NET (C#)</li><li>Laravel (PHP)</li></ul>Soft Skills<ul><li>Strong verbal and written communication.</li><li>Ability to explain complex technical concepts to non-technical stakeholders.</li><li>Team leadership and collaboration.</li><li>Confident in client-facing discussions and defending architectural decisions.</li></ul>Networking &amp; Security<ul><li>Understanding of firewalls, load balancers, VPNs, authentication (OAuth2, SAML), encryption, and secure coding practices</li></ul>Typical Day in the Role<ul><li>Attend daily stand-ups or sprint planning sessions with dev teams.</li><li>Define and own end-to-end data architecture using Azure Synapse, Databricks, Azure Data Factory, Power BI, and Microsoft Fabric</li><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.</li><li>Review and guide technical designs and architecture proposals.</li><li>Meet with clients and stakeholders to understand requirements or present solutions.</li><li>Document architectural decisions and update solution documentation.</li><li>Conduct code or infrastructure reviews.</li><li>Support DevOps pipelines and deployment planning.</li><li>Collaborating with other architects or tech leads to ensure alignment across teams.</li></ul>The Ideal CandidateYou are a technical problem solver and strategic thinker with a passion for designing scalable Data &amp; AI solutions and enabling teams to deliver impactful outcomes. You&rsquo;re just as comfortable defining data platform architectures and AI workloads as you are reviewing Databricks pipelines, MLOps processes, or Azure security and governance models.Job Type: Full-timeWork Location: In person

Solution Architect

Scale AI

<div>
 Role Overview
 
 
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
 </li>
 <li>
 Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
 </li>
 <li>
 Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
 </li>
 <li>
 Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
 </li>
 <li>
 Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
 </li>
 <li>
 Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
 </li>
 <li>
 Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.
 
 
 </li>
 </ul>
 
 Ideally, you have:
 
 
 
 <ul>
 <li>
 Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
 </li>
 <li>
 Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
 </li>
 <li>
 System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
 </li>
 <li>
 Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
 </li>
 <li>
 Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
 </li>
 <li>
 Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
 </li>
 <li>
 Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
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