ai solutions 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

ReSource Pro

<div><div>Do you thrive in client-facing roles, building scalable solutions and driving long-term growth? Are you motivated by the challenge of aligning finance with long-term business vision? 
 
Come Join ReSource Pro!</div> 

Your Role... 
ReSource Pro is seeking a Principal AI Solutions Architect, to design, validate, and define AI-driven solutions that transform client operations. This highly autonomous role operates at the intersection of client engagement, AI product design, and business strategy, translating complex insurance workflows into scalable AI-enabled solutions. You will connect with insurance clients and cross-functional leadership to bridge the gap between conceptual ideas and production-ready specifications. 
 
We hire the best because we believe great people create exceptional experiences. That&rsquo;s why we hire individuals who not only bring talent and passion, but who thrive in our unique culture and live out our Core Values: Commitment to Community, Teamwork, Passion for Excellence, Service-Centric, and Best Self.
 
 
All remote positions are based in the United States, and candidates must reside within the U.S. to be eligible for consideration. 
 
In This Role, You Will&hellip;<ul><li>
Lead structured discovery sessions with clients to assess workflows and technology environments.
</li><li>Architect end-to-end solutions across people, process, and technology components.
</li><li>Develop prototypes independently using AI/ML tools, LLM APIs, and low-code platforms.
</li><li>Design and execute proof-of-concept models to demonstrate business value and feasibility.
</li><li>Translate validated use cases into scalable APM modules and detailed production specifications.
</li><li>Serve as a primary intake point for AI-related opportunities across the organization.
</li><li>Partner with AI Factory engineering teams to ensure clarity of requirements during handoffs.
</li><li>Define success criteria, performance expectations, and technical constraints for AI solutions.
</li><li>Collaborate with Sales and leadership to evaluate the feasibility and fit of new opportunities.
</li><li>Monitor the alignment between designed solutions and delivered outcomes to support continuous improvement.
</li></ul>What You Need to be Successful&hellip;<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Business, or a related field (Master&rsquo;s preferred).
</li><li>8&ndash;12+ years of experience in solutions architecture, product strategy, or technical consulting.
</li><li>Hands-on experience with AI/ML technologies, Large Language Models (LLMs), and automation.
</li><li>Demonstrated success in client-facing solution design and end-to-end architecture.
</li><li>Proven ability to independently prototype and validate complex technical solutions.
</li><li>Strong stakeholder management skills with the ability to influence cross-functional teams.
</li><li>Deep understanding of insurance industry workflows or related complex business environments.
</li><li>High level of autonomy and comfort navigating ambiguity in an innovation-focused role.
</li></ul>Your Compensation&hellip; 
Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes annual bonus eligibility, benefits, and other opportunities at ReSource Pro. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity relative to other ReSource Pro employees. This is a remote position, and the salary range for most locations for this role is $120,948 - $205,026. The salary range may vary based on experience and on the specific geographic location in which the candidate resides. 
 
Your Benefits &amp; Perks&hellip;<ul><li>
100% paid employee health insurance available on Day 1
</li><li>Eligible for all medical, dental, and vision benefits on Day 1
</li><li>Remote positions are Internet stipend-eligible
</li><li>401k with employer match, vested on Day 1
</li><li>HSA/FSA available
</li><li>Long Term and short-term disability employer-provided
</li><li>Generous PTO plan with paid holidays + floating holidays
</li><li>Development and growth opportunities
</li><li>Comprehensive wellness program and prioritization of employee health
</li></ul> 
Your Interview Process&hellip; 
To be considered for this position, please submit your application. If you meet the qualifications for the role, a member of our Talent Acquisition team will be in touch to schedule an interview via Zoom.
 
The standard interview process includes:
<ul><li>Behavioral interview with Talent Acquisition
</li><li>Online talent assessment
</li><li>Hiring Manager interview
</li><li>Stakeholder Interview</li></ul> 
<ul><li>Additional interview steps may be added depending on the position or if further evaluation is needed. Disclosure: Candidates are evaluated at each step of the process. As a result, not every candidate will complete all steps in the process.</li></ul> 
About ReSource Pro:
Focused exclusively on the insurance industry, ReSource Pro is the trusted partner insurance organizations rely on to optimize performance, streamline operations and process engineering, and drive growth. Serving 2,000+ carriers, brokers, wholesalers, and MGAs, ReSource Pro is a recognized market leader in insurance workflow optimization, data and technology services, and strategic operating model transformation. Maintaining a 96%+ client retention rate for over a decade, ReSource Pro is the only firm serving the insurance industry to have earned a spot on the Inc. 5000 list 16 times&mdash;placing it among the top 0.02% of repeat honorees across all sectors in the Inc. list&rsquo;s 40+ year history.
Equal Employment Opportunity Policy
ReSource Pro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Principal AI Solutions Architect

Cloudera

<div>Business Area:
Professional Services
Seniority Level:
Mid-Senior level
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world&rsquo;s largest enterprises.
As an AI Solutions Engineer within Cloudera&rsquo;s Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from &quot;data chaos&quot; to &quot;agentic autonomy.&quot; You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP).
This is not a &quot;theoretical&quot; role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys&mdash;helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments.
As the AI Solutions Engineer you will:
1. AI Model Strategy, Selection and Implementation<ul><li>
Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.</li><li>
Guide customers on &quot;Build vs. Buy vs. Fine-tune&quot; decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.</li><li>
Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).</li></ul>
2. End-to-End Data Engineering<ul><li>
Design and implement robust data pipelines within CDP to transform &quot;messy&quot; legacy data into AI-ready formats.</li><li>
Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.</li><li>
Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.</li></ul>
3. Optimization &amp; Performance Tuning<ul><li>
Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).</li><li>
Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.</li></ul>
4. Public Sector Advisory &amp; Governance<ul><li>
Collaborate with the customer&rsquo;s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.</li><li>
Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.</li></ul>
We&rsquo;re excited about you if you have: (Minimum Qualifications):<ul><li>
Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.</li><li>
Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).<ul><li>
Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.</li><li>
Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.</li><li>
Experience developing visual data representations and dashboards (Django, React, or Angular)
</li><li>Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)</li></ul></li><li>
Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).</li><li>
Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).</li><li>
Active Top Secret Security Clearance</li></ul>
You may also have: (Preferred Qualifications)<ul><li>
Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature.</li></ul><ul><li>
Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels.</li><li>
Experience installing and operating Cloudera Data Platform</li><li>
Experience installing and operating Kubernetes</li><li>
Experience in Air-Gapped deployments and managing AI workloads in disconnected environments.</li><li>
Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.</li><li>
CI or FSB Poly</li></ul>
This role is not eligible for immigration sponsorship
What you can expect from us:<ul><li>
Generous PTO Policy</li><li>
Support work life balance with Unplugged Days</li><li>
Flexible WFH Policy</li><li>
Mental &amp; Physical Wellness programs</li><li>
Phone and Internet Reimbursement program</li><li>
Access to Continued Career Development</li><li>
Comprehensive Benefits and Competitive Packages</li><li>
Paid Volunteer Time</li><li>
Employee Resource Groups</li></ul>
EEO/VEVRAA
#LI-MH2
#LI-Remote</div>

Belvedere Marketing

Location: Remote Company: Belvedere Marketing &amp; PR (BLVDM) Employment Type: Full-Time / Long-Term (Initial 3-month trial)About UsBelvedere Marketing &amp; PR (BLVDM) is a Dubai-based marketing, advertising and PR firm working with brands across hospitality, F&amp;B, lifestyle, beauty, real estate, and luxury sectors.We are evolving beyond traditional marketing.Our focus is to design and implement AI-powered growth systems that help businesses automate marketing, sales, and operations - improving efficiency, consistency, and revenue outcomes.Role OverviewWe are hiring an AI Solutions Architect to design and build scalable AI-driven systems for both internal use and client deployment.This is not a traditional developer role.You will be responsible for translating business needs into structured AI workflows, automation systems, and repeatable frameworks that can be deployed across multiple clients.What You Will Do1. Design AI-Powered Growth Systems<ul><li>Translate marketing, sales, and operational needs into AI workflows</li><li>Build systems for:</li><li>Content generation and distribution</li><li>Lead capture and nurturing</li><li>CRM automation</li><li>Reporting and analytics</li></ul>2. Build Automation Infrastructure<ul><li>Create workflows using tools such as:</li><li>Make (Integromat), Zapier, n8n</li><li>OpenAI / LLM APIs</li><li>CRM platforms (GoHighLevel or similar)</li></ul>3. Develop Internal Operating Systems<ul><li>Build reusable systems for BLVDM:</li><li>Campaign automation pipelines</li><li>Content engines</li><li>Client dashboards</li><li>Reporting frameworks</li></ul>4. Standardize and Scale<ul><li>Convert workflows into repeatable templates</li><li>Ensure systems can be deployed across multiple clients</li><li>Continuously optimize for efficiency and performance</li></ul>5. Collaborate with Strategy &amp; Marketing Teams<ul><li>Work closely with leadership to align systems with growth objectives</li><li>Support implementation across client accounts</li></ul>RequirementsCore Skills<ul><li>Experience building AI workflows using LLM APIs (OpenAI, Claude, etc.)</li><li>Strong understanding of automation tools (Make, Zapier, n8n)</li><li>Experience integrating systems (CRM, email, WhatsApp, analytics tools)</li><li>Ability to think in systems, workflows, and scalability</li></ul>Preferred Background<ul><li>Experience in marketing, growth, or business automation systems</li><li>Understanding of funnels, lead generation, and conversion flows</li><li>Experience building dashboards and reporting systems</li></ul>Mindset<ul><li>Systems thinker (not task executor)</li><li>Strong problem-solving ability</li><li>Focused on outcomes, not just tools</li><li>Ability to work independently and build from scratch</li></ul>What This Role Is Not<ul><li>Not a pure machine learning role</li><li>Not academic AI researcher role</li></ul>What Success Looks Like (First 60 Days)<ul><li>Built initial AI content generation system</li><li>Implemented lead capture and nurture automation</li><li>Created reporting dashboards for internal/client use</li><li>Delivered at least 1&ndash;2 deployable systems for clients</li></ul>Compensation<ul><li>Competitive (based on experience)</li><li>Performance-based growth opportunities</li></ul>How to ApplyPlease send your application to: clientcare@belvedere-marketing.comInclude:<ul><li>Your resume</li><li>A brief overview of AI/automation systems you have built</li><li>A short Loom video (3&ndash;5 minutes) explaining:</li><li>One system you built</li><li>The problem it solved</li><li>How it was structured</li></ul>Applications without the Loom video will not be considered.Final NoteWe are building a long-term system-driven company. If you are someone who understands how to turn business problems into scalable AI systems, and wants to be part of building something meaningful, this role is for you.Job Type: Full-timeWork Location: Remote

AI Solutions Architect (Growth Systems & Automation)

Innodata

<div><div>Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.</div>
Scope of the Role:

Innodata is building a Robotics &amp; Physical AI team focused on systems that perceive, reason, and act in the physical world. Our mission is to design, collect, and evaluate the data that powers frontier robotics and humanoid foundation models. We are looking for a solutions architect who can translate real‑world robotic and embodied‑AI problems into high‑value datasets, data pipelines, and evaluation strategies&mdash;while also acting as a trusted technical partner for our customers' model and product teams.

This roles combines both technical and customer facing.

What You'll Own:
<ul>
<li>Design Physical AI problem formulations that map real‑world robotic behavior into concrete data and evaluation requirements for training policies, world models, and perception systems.</li>
<li>Prototype perception, world‑model, and action‑representation pipelines (e.g., VLMs, VLAs, world models) to understand what data is needed, why it matters, and how quality will be measured.</li>
<li>Use simulation and synthetic environments (digital twins, Isaac/Omniverse‑style tools) to generate, stress‑test, and scale datasets for robotics and humanoid systems, grounded in real sensors, tasks, and constraints.</li>
<li>Work directly with customers' robotics and ML teams to define data specifications, collection strategies (egocentric capture, teacher‑follower demonstrations, imitation learning), and evaluation benchmarks that tie to model performance and business outcomes.</li>
<li>Lead technical discovery and pre‑sales pilots: scope projects, design experiments, and secure the &quot;technical win&quot; by demonstrating uplift from our data, annotations, and pipelines.</li>
<li>Collaborate with internal data‑collection and platform teams to design robust data pipelines, annotation workflows (including affordances and advanced CV labels), and QA processes that generalize across customers.</li>
<li>Develop reusable playbooks, reference architectures, and demos for common Physical‑AI use cases (manipulation, mobile navigation, teleoperation, human‑robot interaction) to accelerate future engagements.</li>
<li>Influence the product and tooling roadmap by bringing structured feedback from frontier robotics customers, and help shape a scalable &quot;Robotics &amp; Physical AI data platform.&quot;</li>
<li>Represent the company at key industry events and workshops, evangelizing best practices for robotics data, simulation, and evaluation and helping build a broader data and partner ecosystem.</li>
</ul>
You'll Thrive in This Role If You Have:
<ul>
<li>Strong background in robotics, computer vision, or embodied / Physical AI, with experience building or training real robotic or simulation‑based systems.</li>
<li>Systems‑level mindset: able to move from physical task model behavior data representation metrics, and explain trade‑offs clearly to both engineers and product leaders.</li>
<li>Familiarity with world models, imitation‑learning or teleoperation pipelines, simulation‑based workflows, or synthetic data generation for robotics.</li>
<li>3+ years of hands‑on development in Python and at least one of C++/Java or similar languages used in robotics or ML engineering.</li>
<li>Comfort operating in ambiguous, early‑stage problem spaces; you can rapidly scope MVP solutions and iterate with customers.</li>
<li>Clear technical communication and a customer‑facing solution‑architect mindset&mdash;able to run whiteboard sessions, lead workshops, and collaborate directly with foundation‑model builders and robotics teams on data and technical requirements.</li>
<li>Strong project‑management and ownership skills: you can drive pilots from idea to delivery, coordinate across internal teams, and keep technical and commercial goals aligned.</li>
<li>Experience with real robotic platforms (humanoids, manipulators, mobile robots) or advanced simulators and digital‑twin platforms.</li>
<li>Experience designing large‑scale datasets, annotation schemes (e.g., affordances, action labels, dense CV annotations), or evaluation pipelines for robotics/Physical‑AI models.</li>
<li>Prior solutions‑engineering, pre‑sales, or consulting experience with technical customers, especially in frontier robotics or autonomous systems.</li>
<li>Contributions to open‑source robotics/ML projects, technical blogs, or publications that demonstrate hands‑on prototyping, dataset design, or applied research.</li>
</ul>
The expected salary range for this position is $175,000 &ndash; $225,000 USD per year, based on experience, skills, and qualifications.<div> 

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you've been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.</div></div>

Robotics Solutions Engineer – Robotics Data Collection & Physical AI

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

GIG Gulf

<div>
 
 
 Who we are:
 
 
 
 GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 
 
 
 
 
 GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 
 
 
 
 
 GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way
 
 .
 
 
 
 
 
 
 
 Job purpose:
 
 
 
 As a Cloud and AI Architect, you will work closely with business and IT stakeholders to:
 
 <ul>
 <li>
 define and evolve enterprise cloud and AI architecture standards, patterns, and guardrails
 </li>
 <li>
 lead pilots, POCs and exploration of new innovative solutions, practices and patterns
 </li>
 <li>
 design and deliver cloud‑based and AI‑enabled solutions that are secure, scalable, and fit for purpose
 </li>
 <li>
 actively contribute to the organization&rsquo;s cloud and AI roadmap and delivery priorities, ensuring alignment with business outcomes, regulatory requirements, and operational realities
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:
 
 
 Architecture
 
 <ul>
 <li>
 Lead the definition and maintenance of enterprise cloud and AI architectures, standards, and target‑state roadmaps
 </li>
 <li>
 Ensure cloud and AI architecture are aligned with business strategy, regulatory constraints, and enterprise architecture including multi-country hosting
 </li>
 <li>
 Contribute to IT strategy and planning activities covering cloud platforms, automation and AI capabilities
 </li>
 <li>
 Support evaluation, selection, and evolution of cloud services, AI platforms, and strategic technology partners
 </li>
 </ul>
 
 
 
 
 Cloud &amp; AI Platform Leadership
 
 <ul>
 <li>
 Define architectural patterns for supporting core systems, digital channels, integrations, analytics, and AI‑enabled use cases
 </li>
 <li>
 Design cloud foundations that are AI‑ready, including data, integration, security, and automation layers
 </li>
 <li>
 Ensure consistency, reuse, and simplicity across solutions, avoiding fragmented or ad‑hoc implementations
 </li>
 <li>
 Work closely with information security, business continuity, operations and platform teams to embed governance, security and control requirements
 </li>
 </ul>
 
 
 
 
 Technical Leadership
 
 
 Strong technical leader with broad and in-depth understanding of:
 
 <ul>
 <li>
 Public cloud platforms (AWS and/or Azure)
 </li>
 <li>
 Cloud‑native architecture patterns, automation, and solutions
 </li>
 <li>
 AI and machine‑learning solution patterns, including generative (LLM, SLM etc.) and agentic AI (RAG, vector datastores, memory, cognitive reasoning etc.) working knowledge (desirable)
 </li>
 <li>
 Secure design principles, identity and access management, and regulatory considerations relevant to insurance
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Technical Responsibilities:
 
 
 
 
 Cloud &amp; AI Architecture
 
 
 <ul>
 <li>
 Function as an active, hands‑on Cloud and AI Architect for enterprise initiatives:
 </li>
 <li>
 Define and maintain cloud and AI architecture frameworks, design guidelines, and reference patterns
 </li>
 <li>
 Design cloud architectures for solutions, including core applications, data platforms, and AI‑enabled services
 </li>
 <li>
 Design architecture that supports AI workloads including (desirable):
 </li>
 <li>
 Secure integration of AI services with enterprise data
 </li>
 <li>
 Patterns for AI‑enabled automation and decision support
 </li>
 <li>
 Controlled use of foundation or public models where approved
 </li>
 <li>
 Lead pilots, proofs of concepts and controlled trials to explore emerging cloud, automation and AI technologies
 </li>
 </ul>
 
 
 
 
 
 Tangible Outcomes &amp; Delivery Focus
 
 
 <ul>
 <li>
 Maintain a strong delivery and results orientation:
 </li>
 <li>
 Contribute to the cloud and AI roadmap aligned to business priorities and delivery plans
 </li>
 <li>
 Support and guide implementation of cloud solutions on AWS and/or Azure
 </li>
 <li>
 Guide teams on cloud‑native design, automation, and deployment practices
 </li>
 <li>
 Ensure solutions are production‑ready, cost‑aware, documented, and operationally supported
 </li>
 </ul>
 
 
 
 
 
 Governance &amp; Security
 
 
 <ul>
 <li>
 Define architectural guardrails, including:
 </li>
 <li>
 Data access, privacy, and residency controls across cloud platforms
 </li>
 <li>
 Ensure solutions align with security standards, regulatory and operational requirements
 </li>
 <li>
 Embed FinOps principles into cloud architecture to ensure cost transparency, accountability and optimization
 </li>
 <li>
 Responsible and compliant use of AI and generative AI services
 </li>
 <li>
 Integration patterns for AI‑enabled workflows and services
 </li>
 <li>
 Support controlled evaluation and adoption of AI technologies, avoiding unmanaged experimentation
 </li>
 </ul>
 
 
 
 
 
 Communication &amp; Stakeholder Engagement
 
 
 <ul>
 <li>
 Prepare clear and structured architecture proposals, options, and decision papers
 </li>
 <li>
 Communicate architectural choices and tradeoffs to both technical and non‑technical stakeholders
 </li>
 <li>
 Provide practical recommendations focused on business outcomes, risk, and sustainability
 </li>
 <li>
 Promote collaboration, reuse, and shared ownership across delivery teams
 </li>
 </ul>
 
 
 
 
 
 Quality &amp; Operational Excellence
 
 
 <ul>
 <li>
 Ensure high‑quality design, testing, and operational readiness of cloud and AI solutions
 </li>
 <li>
 Support incident, problem, and root‑cause analysis related to cloud platforms
 </li>
 <li>
 Track and follow up on technical issues to ensure timely resolution and continuous improvement
 </li>
 </ul>
 
 
 
 
 
 People Leadership (Where Applicable)
 
 
 <ul>
 <li>
 Support onboarding and development of cloud operations and AI engineers
 </li>
 <li>
 Provide technical coaching, design reviews, and mentoring
 </li>
 <li>
 Encourage knowledge sharing, standards adoption, and disciplined architectures practices
 </li>
 <li>
 Foster a collaborative culture aligned with organizational values and delivery commitments
 </li>
 </ul>
 
 
 
 
 
 Business / Domain knowledge requirements (desirable)
 
 
 <ul>
 <li>
 Knowledge of Health Data industry
 </li>
 <li>
 Basic knowledge of the insurance business
 </li>
 <li>
 Basic understanding of market practices/business processes
 </li>
 <li>
 Understanding of regulatory challenges, including compliance, data privacy and residency
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Technical Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, Information Systems, or a related field
 </li>
 <li>
 Cloud or architecture certifications (AWS, Azure or equivalent) are preferred but not mandatory where practical experience is demonstrated
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 6&ndash;10 years of overall experience in enterprise technology or architecture roles
 </li>
 <li>
 Minimum 4&ndash;6 years of hands‑on experience in cloud architecture across AWS and/or Azure
 </li>
 <li>
 Demonstrated experience designing and governing production cloud systems
 </li>
 <li>
 Experience in regulated environments (insurance, financial services, healthcare) is preferred
 </li>
 </ul>
 
 
 
 
 
 Core Skills
 
 
 <ul>
 <li>
 Cloud architecture (AWS and/or Azure): Ability to design scalable, secure and resilient cloud platforms supporting enterprise solutions
 </li>
 <li>
 Solution architecture: Proven experience defining architecture reference designs, and target‑state
 </li>
 <li>
 Security &amp; governance: Strong grounding in secure‑by‑design principles, identity, access control, data protection, and compliance
 </li>
 <li>
 Proofs of concept: Hands on experience in structured PoCs and technology evaluations with clear outcomes and decisions
 </li>
 <li>
 AI‑enabled Architectures (
 
 desirable
 
 ) &ndash; Hands on experience enabling AI/ML and GenAI use cases through data foundations, including exposure to LLM‑based solutions, RAG patterns, and vector‑based retrieval where applicable
 </li>
 <li>
 AI &amp; GenAI integration (
 
 desirable
 
 ): Hands-on experience architecting AI or GenAI solutions integrated with enterprise data and systems
 </li>
 </ul>
 
 
 
 
 
 Collaboration
 
 
 <ul>
 <li>
 Strong stakeholder management skills across business, IT, and control functions
 </li>
 <li>
 Ability to communicate architectural decisions clearly
 </li>
 <li>
 Comfortable working in a high‑demand, delivery‑oriented environment
 </li>
 </ul>
 
 
 
 
 
 Communication and Soft Skills
 
 
 <ul>
 <li>
 Excellent communication skills in English, both verbal and written
 </li>
 <li>
 Team player &ndash; ability to work with a team and influence a positive collaborative culture
 </li>
 <li>
 Ability to prioritize workload appropriately based on the impact on the business
 </li>
 <li>
 Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
 </li>
 </ul>
 
 
</div>

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