ai engineer

software engineer

cloud engineer

sales engineer

engineer

solution engineer

OmniOps

<div>
 OmniOps is a Riyadh-based technology solutions provider, serving organizations across Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, we specialize in empowering businesses to migrate and scale their AI technology infrastructure confidently, achieving a high level of maturity in their digital landscapes. Our comprehensive services and products guarantee seamless cloud migration, scalability, and management, ensuring optimal performance and consistent reliability for our valued partners.
 <br/>
 <br/>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 We are looking for a highly experienced Senior Solution Engineer to join our Riyadh team. In this role, you will serve as a trusted technical advisor, partnering with customers to design innovative AI-driven solutions that address complex business challenges. You will work closely with Sales, Product, Engineering, and executive stakeholders to lead technical engagements, shape solution strategies, and position OmniOps as a strategic AI transformation partner.
 <br/>
 <br/>
 The ideal candidate combines strong technical expertise with excellent customer-facing, consulting, and presentation skills, and has hands-on experience designing enterprise AI, cloud, and data solutions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with Sales and Business teams to understand customer objectives, business challenges, and technical requirements throughout the sales lifecycle.
  </li>
  <li>
   Lead technical discovery sessions, workshops, and architecture discussions to identify customer needs and define solution success criteria.
  </li>
  <li>
   Design scalable, secure, and cloud-native AI solution architectures tailored to customer environments.
  </li>
  <li>
   Translate business requirements into AI-driven solutions leveraging Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent agents, MLOps, data platforms, and cloud technologies.
  </li>
  <li>
   Deliver executive presentations, technical demonstrations, architecture reviews, and Proof of Concept (PoC) engagements.
  </li>
  <li>
   Prepare and lead technical responses for RFPs, RFIs, proposals, solution architectures, and technical documentation.
  </li>
  <li>
   Collaborate with Product Management, Data, and Engineering teams to ensure proposed solutions align with customer requirements and product capabilities.
  </li>
  <li>
   Lead customer workshops focused on AI strategy, enterprise architecture, data governance, intelligent automation, and digital transformation.
  </li>
  <li>
   Ensure a seamless transition from presales to delivery by validating solution architecture, implementation approach, technical scope, assumptions, and risks.
  </li>
  <li>
   Stay up to date with emerging AI technologies, cloud platforms, and industry trends to continuously strengthen OmniOps' solution portfolio.
  </li>
  <li>
   Mentor junior Solution Engineers and technical team members through coaching, technical reviews, and knowledge sharing.
  </li>
  <li>
   Represent OmniOps during executive customer meetings, partner engagements, conferences, and technical events.
  </li>
  <li>
   Contribute to presales methodologies, reusable solution assets, best practices, and technical playbooks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
  </li>
  <li>
   A Master's degree is considered an advantage.
  </li>
  <li>
   5+ years of experience in Solution Engineering, Presales, Solutions Architecture, Cloud Consulting, or Enterprise Software.
  </li>
  <li>
   Proven experience leading enterprise customer engagements from technical discovery through solution design and successful technical closure.
  </li>
  <li>
   Experience working with enterprise customers across cloud, AI, or digital transformation initiatives.
  </li>
  <li>
   Strong knowledge of Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, MLOps, and enterprise AI architectures.
  </li>
  <li>
   Hands-on experience developing or supporting Generative AI and Agentic AI applications.
  </li>
  <li>
   Experience with Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), including cloud-native architectures and integration patterns.
  </li>
  <li>
   Solid understanding of APIs, enterprise integration, networking, identity and access management, security, containers, and modern data platforms.
  </li>
  <li>
   Experience designing enterprise-scale cloud and AI architectures.
  </li>
  <li>
   Experience delivering Proofs of Concept (PoCs), technical workshops, demonstrations, and executive presentations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent solution architecture and technical consulting skills.
  </li>
  <li>
   Strong customer engagement and stakeholder management capabilities.
  </li>
  <li>
   Consultative selling mindset with the ability to align technology solutions to business outcomes.
  </li>
  <li>
   Excellent communication, presentation, and documentation skills.
  </li>
  <li>
   Strong analytical and problem-solving abilities.
  </li>
  <li>
   Ability to manage multiple customer engagements in a fast-paced environment.
  </li>
  <li>
   Leadership and mentoring experience with junior technical team members.
  </li>
  <li>
   Collaborative mindset with the ability to work effectively across Sales, Product, Engineering, and Delivery teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI, cloud, or enterprise architecture certifications (Microsoft Azure, AWS, Google Cloud, Kubernetes, or equivalent).
  </li>
  <li>
   Experience working for AI, cloud, or enterprise software vendors, system integrators, or technology consulting firms.
  </li>
  <li>
   Knowledge of enterprise AI governance, responsible AI practices, and modern data architectures.
  </li>
  <li>
   Familiarity with digital transformation initiatives across enterprise and government sectors in the GCC.
  </li>
 </ul>
</div>


Senior Solution Engineer

Artefact

<div>
 <p>
  <strong>
   Gemini Director (Agentic AI) &mdash; Artefact Middle East
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Artefact MENA is looking for a client-facing Gemini Director to lead the Gemini Enterprise &amp; Agentic AI offering.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hybrid role involving solution architecture, hands-on engineering, technical pre-sales and business development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll partner with Artefact leadership, Google Cloud, and senior client stakeholders to spot opportunities, shape solutions, build demos and PoCs, and scale them into production AI programmes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you'll do as the Gemini Director (Agentic AI):
  </strong>
 </p>
 <ul>
  <li>
   Identify and shape Gemini Enterprise and agentic AI opportunities across new and existing clients
  </li>
  <li>
   Lead technical discovery sessions, workshops, demos, pitches and PoCs
  </li>
  <li>
   Translate business challenges into AI use cases, solution architectures and implementation roadmaps
  </li>
  <li>
   Design enterprise-grade solutions using Gemini, Vertex AI, AI agents, RAG, tool use and enterprise integrations
  </li>
  <li>
   Build prototypes and production solutions using Python, APIs, SDKs and cloud-native tech
  </li>
  <li>
   Embed evaluation, security, governance, observability and human-approval controls
  </li>
  <li>
   Help clients adopt Gemini Enterprise and AI-assisted development across their engineering lifecycle. Partner closely with Google Cloud on joint accounts, propositions and reusable solutions
  </li>
  <li>
   Support proposals, technical estimations and commercial discussions
  </li>
  <li>
   Turn early PoCs into enterprise-scale AI transformation programmes
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you bring
  </strong>
 </p>
 <ul>
  <li>
   Experience as a GenAI Architect, AI Solution Architect, Lead AI Engineer, Forward Deployed Engineer or AI Solutions Engineer
  </li>
  <li>
   Hands-on track record building enterprise applications with frontier LLMs
  </li>
  <li>
   Strong grasp of agentic AI, RAG, tool use, context engineering, evaluation and LLMOps
  </li>
  <li>
   Solid Python, API integration and cloud engineering skills
  </li>
  <li>
   Experience deploying AI solutions on Google Cloud, AWS or Azure
  </li>
  <li>
   Confidence engaging CIOs, CTOs, CDOs and senior business leaders
  </li>
  <li>
   Background in technical pre-sales, consulting, solution engineering or client-led business development
  </li>
  <li>
   Ability to carry an opportunity from first idea through architecture, prototype and production
  </li>
  <li>
   An entrepreneurial, commercially-minded approach to building a new offering
  </li>
  <li>
   Gemini/Google Cloud experience is a strong plus &mdash; but deep experience with other frontier-model platforms works too
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Success in year one looks like:
  </strong>
  Becoming Artefact MENA's go-to technical and commercial leader for Gemini Enterprise and agentic AI &mdash; building a strong pipeline, leading flagship client engagements, and creating reusable Gemini and agentic AI propositions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍 Middle East | Artefact Middle East
 </p>
 <p>
  <br/>
 </p>
</div>


Gemini Director (Agentic AI)

HUMAIN

<div>
 <p>
  <strong>
   About HUMAIN
  </strong>
 </p>
 <p>
  HUMAIN, a PIF company, is a global artificial intelligence company delivering full-stack AI capabilities across four core areas - next-generation data centers, hyper-performance infrastructure &amp; cloud platforms, advanced AI Models, including the world&rsquo;s most advanced Arabic LLMs built in the Arab world, and transformative AI Solutions that combine deep sector insight with real-world execution.
 </p>
 <p>
  HUMAIN&rsquo;s end-to-end model serves both public and private sector organizations, unlocking exponential value across all industries, driving transformation and strengthening capabilities through human-AI synergies. With a growing portfolio of sector-specific AI products and a core mission to drive IP leadership and talent supremacy world-wide, HUMAIN is engineered for global competitiveness and national distinction.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum Qualifications &amp; Experience:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Engineering, Computer Science, Information Technology or a related discipline.
  </li>
  <li>
   12+ years of progressive experience in solution engineering, enterprise architecture, systems integration or technology delivery.
  </li>
  <li>
   6+ years of leadership experience managing multi-disciplinary technical teams within a complex enterprise environment.
  </li>
  <li>
   Demonstrated experience leading solution design and delivery for large-scale technology initiatives in the resources, energy or adjacent industrial sectors.
  </li>
  <li>
   Proven experience in budget management, strategic planning and senior stakeholder engagement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <ul>
  <li>
   Master's degree in Engineering, Computer Science, Business Administration or a related field.
  </li>
  <li>
   Professional certification in enterprise architecture, cloud technologies, solution architecture or project/program management.
  </li>
  <li>
   Experience supporting pre-sales, bid management or commercially driven solution development activities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge &amp; Skills:
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of solution engineering, enterprise architecture and systems integration methodologies.
  </li>
  <li>
   Ability to lead technical strategy execution across multiple teams and complex delivery portfolios.
  </li>
  <li>
   Strong commercial acumen with the ability to align technical solutions to business value and sector needs.
  </li>
  <li>
   Advanced stakeholder management, negotiation and executive communication skills.
  </li>
  <li>
   Knowledge of governance, risk management and quality assurance practices within technology delivery.
  </li>
  <li>
   Ability to assess emerging technologies and translate them into practical sector-relevant solution capabilities.
  </li>
  <li>
   Strong planning, budgeting and performance management capability.
  </li>
  <li>
   Leadership skills to build teams, develop capability and drive accountability across the function.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Head of Solution Engineering (Resources & Energy)

Sarj | سرج

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Built with 💜 in KSA and leveraging Silicon Valley expertise, we&rsquo;re creating innovative solutions in the realm of Voice AI and AI agents. As we continue our rapid growth trajectory in an exciting and dynamic market, we&rsquo;re looking for A-players to join our team.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Product Engineer
 </strong>
 , you will work closely with the Sales, Product, Engineering, and Operations teams to understand client requirements, design and build tailored solutions, and bring them to life using Sarj AI&rsquo;s products and capabilities. You will own the solution journey end to end &mdash; from understanding the client&rsquo;s needs and proposing the right approach, to building, integrating, demonstrating, iterating, and handing over the solution to the team after signing.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with Sales to understand client requirements and desired outcomes.
  </li>
  <li>
   Propose how Sarj AI can address client needs and translate requirements into practical, creative solutions.
  </li>
  <li>
   Design, build, and integrate tailored solutions using Sarj AI products and technologies.
  </li>
  <li>
   Prepare and deliver client demos, answering product, technical, and scope-related questions.
  </li>
  <li>
   Gather feedback and iterate on solutions based on client requirements.
  </li>
  <li>
   Coordinate with Product and Engineering when deeper technical input or product capabilities are needed.
  </li>
  <li>
   Hand over signed projects with the relevant solution details and requirements.
  </li>
  <li>
   Build websites and lightweight tools using modern AI-assisted and vibe-coding approaches.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ year of experience in Product, Engineering, Business Analysis, or a similar role, preferably in a technology or startup environment.
  </li>
  <li>
   Excellent Arabic and English communication skills, with fluency in the Saudi dialect.
  </li>
  <li>
   Strong problem-solving skills and a creative approach to building solutions.
  </li>
  <li>
   Ability to take ownership of projects end to end.
  </li>
  <li>
   Comfortable working directly with clients and presenting solutions.
  </li>
  <li>
   Strong interest in AI and emerging technologies.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 Experience with the following:
 <br/>
 <br/>
 <ul>
  <li>
   APIs, integrations, or low-code/no-code tools.
  </li>
  <li>
   Building prototypes, websites, or internal tools using AI-assisted coding.
  </li>
  <li>
   Solutions, consulting, pre-sales, or other client-facing technical roles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be part of a high-growth, innovative tech start-up.
  </li>
  <li>
   Work in a collaborative, mission-driven culture with hands-on exposure to innovative AI products.
  </li>
  <li>
   Take ownership, grow, and make a real impact through real-world challenges.
  </li>
 </ul>
</div>


Product Engineer

SARJ

<div><p><b>About Us</b></p><div></div><p><br>
Built with in KSA and leveraging Silicon Valley expertise, we&rsquo;re creating innovative solutions in the realm of Voice AI and AI agents. As we continue our rapid growth trajectory in an exciting and dynamic market, we&rsquo;re looking for A-players to join our team.</p><div></div><p><b><br>
Role Overview</b></p><div></div><p><br>
As a <b>Product Engineer</b>, you will work closely with the Sales, Product, Engineering, and Operations teams to understand client requirements, design and build tailored solutions, and bring them to life using Sarj AI&rsquo;s products and capabilities. You will own the solution journey end to end &mdash; from understanding the client&rsquo;s needs and proposing the right approach, to building, integrating, demonstrating, iterating, and handing over the solution to the team after signing.</p><div></div><p><b><br>
Key Responsibilities</b></p><div></div><ul><li><p><br>
Partner with Sales to understand client requirements and desired outcomes.</p></li><li><p>
Propose how Sarj AI can address client needs and translate requirements into practical, creative solutions.</p></li><li><p>
Design, build, and integrate tailored solutions using Sarj AI products and technologies.</p></li><li><p>
Prepare and deliver client demos, answering product, technical, and scope-related questions.</p></li><li><p>
Gather feedback and iterate on solutions based on client requirements.</p></li><li><p>
Coordinate with Product and Engineering when deeper technical input or product capabilities are needed.</p></li><li><p>
Hand over signed projects with the relevant solution details and requirements.</p></li><li><p>
Build websites and lightweight tools using modern AI-assisted and vibe-coding approaches.</p></li></ul><div></div><p><b><br>
Requirements</b></p><div></div><ul><li><p><br>
1+ year of experience in Product, Engineering, Business Analysis, or a similar role, preferably in a technology or startup environment.</p></li><li><p>
Excellent Arabic and English communication skills, with fluency in the Saudi dialect.</p></li><li><p>
Strong problem-solving skills and a creative approach to building solutions.</p></li><li><p>
Ability to take ownership of projects end to end.</p></li><li><p>
Comfortable working directly with clients and presenting solutions.</p></li><li><p>
Strong interest in AI and emerging technologies.</p></li></ul><p><b><br>
Nice to Have</b></p><p>
Experience with the following:</p><ul><li><p>
APIs, integrations, or low-code/no-code tools.</p></li><li><p>
Building prototypes, websites, or internal tools using AI-assisted coding.</p></li><li><p>
Solutions, consulting, pre-sales, or other client-facing technical roles.</p></li></ul><div></div><p><b><br>
Why Join Us?</b></p><div></div><ul><li><p><br>
Be part of a high-growth, innovative tech start-up.</p></li><li><p>
Work in a collaborative, mission-driven culture with hands-on exposure to innovative AI products.</p></li><li><p>
Take ownership, grow, and make a real impact through real-world challenges.</p></li></ul></div>

Accenture

<div><div><div><p><b>YOU ARE</b></p></div><div><p>
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p></div><div><p><b>
THE WORK</b></p></div><div><ul><li><p>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</p></li></ul></div><div><ul><li><p>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</p></li></ul></div><div><ul><li><p>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</p></li></ul></div><div><ul><li><p>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</p></li></ul></div></div><div><div><ul><li><p>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</p></li></ul></div><div><ul><li><p>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</p></li></ul></div><div><ul><li><p>
Justify the value of model approaches in business problems</p></li></ul></div><div><ul><li><p>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</p></li></ul></div></div></div>
<br>
<div><div><p><b>EDUCATION</b></p></div><div><ul><li><ul><li>Bachelor's Degree or equivalent</li></ul></li></ul></div><div><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p></div><div><ul><li><p>
Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</p></li></ul></div><div><ul><li><p>
Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</p></li></ul></div><div><ul><li><p>
Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks</p></li></ul></div><div><ul><li><p>
Experience in building and deploying AI/ML based software to a cloud environment.</p></li></ul></div><div><p><b>
PREFERRED QUALIFICATION</b></p></div><div><ul><li><p>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</p></li></ul></div><div><ul><li><p>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</p></li></ul></div><div><ul><li><p>
Experience with the following programming languages: Python, C++, Java, R, SQL</p></li></ul></div><div><ul><li><p>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</p></li></ul></div><div><ul><li><p>
Strong client-facing skillsets in a consulting environment</p></li></ul></div><div><ul><li><p>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</p></li></ul></div><div><ul><li><p>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</p></li></ul></div><div><ul><li><p>
MS or PhD in related field preferred (computer science, engineering, etc.)</p></li></ul></div></div>

AI & Machine Learning Consultant

AGFA

<div><p><b>Pre Sales Consultant (HealthCare IT / PACS / RIS / VNA)</b></p><br>
<div><b>
Purpose of the Role :</b></div><br>
<div></div>
<div>
Drive technical and clinical credibility throughout the sales cycle for PACS/RIS and related imaging IT solutions, partnering with the commercial team to convert opportunities and support the company's regional expansion goals.</div><br>
<div></div>
<div><b>
Location: Riyadh or Dubai</b></div><br>
<div></div>
<div><b>
Key Responsibilities :</b></div><br>
<div></div>
<ul><li> Partner with Sales Managers to Analyze opportunities, understand customer clinical and IT workflows, and shape winning solution design strategies.</li></ul><br>
<div></div>
<ul><li>Deliver compelling product technical presentations to customer technical team and KOLs.</li></ul><br>
<div></div>
<ul><li>Own end-to-end responses to RFI/RFPs, including solution strategy, win-theme definition, and technical governance of proposal quality</li></ul><br>
<div></div>
<ul><li>Build and sustain trusted relationships with clinical and IT stakeholders across the customer lifecycle from first engagement through post-sale acting as a consistent, credible technical point of contact rather than a one-time deal resource.</li></ul><br>
<div></div>
<ul><li>Run structured discovery sessions and workshops with customers to surface clinical and operational pain points, and translate them into tailored value propositions aligning with commercial team and relevant company stakeholders.</li></ul><br>
<div></div>
<ul><li>Support tender responses, pricing configurations, and business case development with relevant company stakeholders.</li></ul><br>
<div></div>
<ul><li>Represent the company at trade shows, congresses, and customer workshops, building the company's presence and network within the regional clinical/IT community</li></ul><br>
<div></div>
<ul><li>Collaborate with implementation/services teams to ensure smooth handover post-sale, staying engaged with key accounts to protect the relationship and support renewal/expansion conversations.</li></ul><br>
<div></div>
<ul><li>Maintain up-to-date knowledge of PACS/RIS market trends, regulatory requirements, and competitor offerings</li></ul><br>
<div></div>
<ul><li>Support commercial team on high-stakes negotiations by providing technical risk assessment and defensible solution justification.</li></ul><div><br>
<b>
Solution Design &amp; Technical Problem-Solving :</b></div><br>
<div></div>
<ul><li>Design PACS/RIS solution configurations tailored to customer infrastructure, workload volume, and clinical requirements (on-premise, hybrid, or cloud/VNA deployments).</li></ul><br>
<div></div>
<ul><li>Own and lead the design of enterprise-grade, multi-site PACS/RIS architectures, setting the technical direction for complex and strategic deals.</li></ul><br>
<div></div>
<ul><li>Translate customer requirements into practical, standards-based technical proposals, including indicative sizing and integration approach.</li></ul><br>
<div></div>
<ul><li>Define reference architectures and design standards for the region, ensuring consistency, scalability, and compliance across proposals.</li></ul><br>
<div></div>
<ul><li>Map integration points across the hospital IT ecosystem (EHR/EMR, HIS, modalities, third-party viewers) using HL7/FHIR, DICOM, and IHE integration profiles.</li></ul><br>
<div></div>
<ul><li>Identify technical risks, workflow gaps, and interoperability constraints during discovery, and propose workable solutions or escalate to solution architecture/engineering as needed.</li></ul><br>
<div></div>
<ul><li>Apply structured problem-solving to diagnose customer pain points and balance clinical needs, technical feasibility, and commercial constraints in proposed solutions.</li></ul><br>
<div></div>
<ul><li>Produce clear technical documentation (architecture diagrams, configuration notes) to support proposals and tenders.</li></ul><br>
<div></div>
<div><b>
Required Skills &amp; Experience:</b></div><br>
<div></div>
<ul><li>6+ years' experience in PACS/RIS, healthcare imaging IT, or related clinical software (VNA, AI imaging tools, EHR integration).</li></ul><br>
<div></div>
<ul><li>Strong understanding of radiology workflows, DICOM, HL7/FHIR, and IHE interoperability standards.</li></ul><br>
<div></div>
<ul><li>Proven presales, technical sales support, or clinical applications background.</li></ul><br>
<div></div>
<ul><li>Demonstrated ability to build and maintain trusted relationships with clinical and IT stakeholders, including at department-head level.</li></ul><br>
<div></div>
<ul><li>Excellent presentation, demo, and stakeholder communication skills across clinical and technical audiences.</li></ul><br>
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<ul><li>Solid analytical and problem-solving skills, comfortable working through technical/integration questions independently.</li></ul><br>
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<ul><li>Ability to manage multiple opportunities across a region with a consultative, customer-first approach complying with company goals.</li></ul><br>
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<ul><li>Fluency in English and willingness to travel if needed .</li></ul><br>
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<ul><li>Bachelor's degree in Radiography, Biomedical Engineering, Health IT, or Computer Science (or equivalent experience)</li></ul></div>

Pre Sales Consultant (HealthCare IT / PACS / RIS / VNA)

Explore 34+ Solution engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

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Pre Sales Consultant (HealthCare IT / PACS / RIS / VNA)