Qureos Mentor

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
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 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
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 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
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 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
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 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 To qualify, you must have:
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Hands on expertise designing and implementing GenAI solutions on Azure
 </li>
 <li>
 Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
 </li>
 <li>
 Hands on experience with python for prototyping and implementing GenAI solutions
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 <li>
 Expertise optimizing advanced RAG architectures and designing information retrieval system
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 <li>
 Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
 </li>
 <li>
 Understanding on the latest Agentic and RAG research and innovation areas
 </li>
 <li>
 Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 A highly curious and inquisitive approach to problem-solving
 
 
 In-depth knowledge of the latest developments in AI and machine learning
 
 
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

<div>
 
 
 Overview:
 
 
 
 
 About Inception
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered, domain-specific and industry-agnostic products, built on a strong foundation of research and development. As the core intelligence layer within the G42 ecosystem, Inception transforms data and compute infrastructure into real-world, applied AI solutions that drive both commercial value and societal impact.
 
 
 Role Summary
 
 
 As the Director &ndash; Solution Engineering (Partners), you will lead the technical enablement, activation, and ongoing success of Inception&rsquo;s partner ecosystem. Reporting to the Senior Vice President of Solution Engineering, you will empower System Integrators, resellers, consulting partners, and technology alliances to effectively position, architect, and deliver Inception&rsquo;s AI portfolio.
 
 
 This role sits at the intersection of solution engineering, partner enablement, and scalable technical advocacy. You will build the frameworks, assets, and programs that allow partners to independently drive high-quality enterprise engagements. Your work will ensure that partners are deeply equipped&mdash;technically and commercially&mdash;to accelerate adoption of Inception&rsquo;s AI capabilities across global markets.
 
 
 
 
 Responsibilities:
 
 
 
 
 The Opportunity
 
 
 This role offers a unique chance to shape Inception&rsquo;s partner-led technical strategy from the ground up. You will:
 
 
 <ul>
 <li>
 Build reusable demo environments and solution assets
 </li>
 <li>
 Create certification programs for partner enablement
 </li>
 <li>
 Provide architectural guidance during partner-led customer pursuits
 </li>
 <li>
 Drive technical excellence across the entire partner ecosystem
 
 
 </li>
 </ul>
 Your leadership will be instrumental in scaling Inception&rsquo;s presence and ensuring that our AI solutions are represented with consistency, accuracy, and depth across all partner channels.
 
 
 Key Responsibilities
 
 
 Partner Technical Activation &amp; Enablement
 
 
 <ul>
 <li>
 Lead technical activation of partners to ensure they can independently position, design, and deliver the Inception AI portfolio.
 </li>
 <li>
 Develop and deliver technical onboarding programs, solution deep-dives, and product training sessions.
 </li>
 <li>
 Build and maintain a Partner Tech Certification curriculum, including learning paths, assessments, and hands-on training materials.
 
 
 </li>
 </ul>
 Reusable Assets, Demo Environments &amp; Tooling
 
 
 <ul>
 <li>
 Build and manage demo environments, reference architectures, and reusable technical assets to support partner pursuits.
 </li>
 <li>
 Create solution templates, technical summaries, and architecture documents that partners can standardize and replicate.
 </li>
 <li>
 Ensure collateral is scalable, up-to-date, and aligned with Inception&rsquo;s evolving AI portfolio.
 
 
 </li>
 </ul>
 Support for Partner-Led Customer Engagements
 
 
 <ul>
 <li>
 Work closely with partners during customer engagements, providing guidance on workshops, RFx responses, architectural design, cost estimation, and solution sizing.
 </li>
 <li>
 Ensure partners are delivering technically sound proposals that align with Inception&rsquo;s best practices and architectural principles.
 </li>
 <li>
 Serve as the escalation point for complex technical questions that arise in partner-led opportunities.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Collaborate with product, applied science, engineering, and commercial teams to ensure alignment on partner needs and market feedback.
 </li>
 <li>
 Provide insights from partner engagements to influence product strategy and roadmap decisions.
 </li>
 <li>
 Support joint go-to-market initiatives with the partnerships and alliances teams.
 
 
 </li>
 </ul>
 Process Development &amp; Standardization
 
 
 <ul>
 <li>
 Develop scalable methodologies for partner technical onboarding, architecture reviews, and quality assurance.
 </li>
 <li>
 Standardize solution engineering processes and documentation across the partner ecosystem.
 </li>
 <li>
 Drive continuous improvement to ensure partners deliver high-quality, repeatable solutions.
 
 
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 Skills &amp; Attributes for Success
 
 
 <ul>
 <li>
 Proven experience designing and delivering enterprise-grade AI or software solutions.
 </li>
 <li>
 Strong ability to translate complex technical concepts into scalable training materials and reusable assets.
 </li>
 <li>
 Deep understanding of AI/ML architectures, SaaS solutions, enterprise integration, and cloud-native technologies.
 </li>
 <li>
 Excellent presentation, communication, and technical mentoring skills.
 </li>
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 Strong relationship-building and stakeholder management skills across both technical and commercial audiences.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 7+ years of experience in solution architecture, pre-sales engineering, or technical consulting&mdash;preferably with experience in partner enablement or partner ecosystems.
 </li>
 <li>
 Demonstrated success supporting enterprise sales engagements through technical architecture, workshops, and RFx responses.
 </li>
 <li>
 Hands-on experience with cloud platforms (Azure strongly preferred), AI/ML services, and enterprise integration architectures.
 </li>
 <li>
 Technical knowledge of OpenAI and Microsoft Azure (L300) is a strong plus.
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 
 What Working At Inception Offers:
 
 
 
 <ul>
 <li>
 Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 </li>
 <li>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 </li>
 <li>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 </li>
 <li>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.
 </li>
 </ul>
</div>

Director - Solution Engineering

<div>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Overview
 
 
 
 Inception is seeking a highly skilled Lead Data Engineer to architect and build scalable, cloud-native data and AI pipelines that power enterprise LLM, RAG, and retrieval systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable data pipelines for AI/LLM workloads, including vectorization and embedding processing.
 </li>
 <li>
 Develop and maintain ETL/ELT workflows for structured, unstructured, and streaming data.
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 <li>
 Create and manage vector database indexing and similarity search pipelines using tools like FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
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 Build retrieval systems for RAG, semantic search, and enterprise knowledge retrieval.
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 Develop robust, reusable data orchestration pipelines using Airflow, Spark, or similar tools.
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 Architect and manage data pipelines across Azure (primary), AWS, and GCP environments.
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 Integrate and optimize storage and processing across SQL, NoSQL, and vector databases.
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 Contribute to the design and implementation of event-driven architectures.
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 Collaborate with AI teams to enable embedding generation, LLM integration, and model-serving pipelines.
 </li>
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 Ensure end-to-end data quality, monitoring, reliability, and observability.
 </li>
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 Lead or participate in system design for large-scale, distributed data and AI systems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong expertise in Python for data processing, APIs, automation, or distributed workloads.
 </li>
 <li>
 Strong proficiency in SQL and knowledge of NoSQL databases (MongoDB, DynamoDB, Cosmos DB, etc.).
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 <li>
 Experience with vector databases, such as: FAISS, Pinecone, Weaviate, Qdrant, Chroma.
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 Strong knowledge of data modeling, pipeline development, and ETL/ELT frameworks.
 
 
 </li>
 </ul>
 
 AI/LLM Infrastructure
 
 
 
 <ul>
 <li>
 Solid understanding of vectorization, embeddings, and similarity search techniques.
 </li>
 <li>
 Familiarity with LLMs, embedding models, and RAG pipeline concepts.
 </li>
 <li>
 Experience integrating embedding-generation pipelines via Hugging Face, OpenAI, or other model providers.
 
 
 </li>
 </ul>
 
 Cloud &amp; Distributed Systems
 
 
 
 <ul>
 <li>
 Proficiency with Azure (primary), and familiarity with AWS and GCP.
 </li>
 <li>
 Experience with Docker and containerized development.
 </li>
 <li>
 Understanding of Kubernetes is a strong plus.
 
 
 </li>
 </ul>
 
 Orchestration &amp; Big Data
 
 
 
 <ul>
 <li>
 Expertise in Apache Airflow for scheduling and orchestration.
 </li>
 <li>
 Experience with Apache Spark or equivalent distributed processing frameworks.
 
 
 </li>
 </ul>
 
 Architecture &amp; Engineering Fundamentals
 
 
 
 <ul>
 <li>
 Strong system design fundamentals for scalable and distributed systems.
 </li>
 <li>
 Knowledge of event-driven architecture and modern data platforms.
 </li>
 <li>
 Strong understanding of DevOps, CI/CD, version control, and observability best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of progressive experience in data engineering, distributed systems, or AI/ML data infrastructure
 </li>
 <li>
 Experience building RAG pipelines in production.
 </li>
 <li>
 Knowledge of graph databases or hybrid search systems.
 </li>
 <li>
 Understanding of model deployment, inference optimization, and caching techniques for LLM workloads.
 </li>
 <li>
 Familiarity with data governance, IAM, and security patterns across cloud ecosystems
 
 
 </li>
 </ul>
 What We Look For
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What Working At Inception Offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Lead Data Engineer

<div>
 
 Overview
 
 
 
 As a QA Lead at Inception, you will be responsible for defining and overseeing the quality assurance strategy for complex financial-domain applications. You will lead both manual and automated testing practices, ensuring that all AI-enabled and enterprise platforms adhere to stringent quality, reliability, and compliance standards.
 
 
 The Opportunity
 
 
 In this role, you will combine financial-domain expertise with advanced testing methodologies to implement robust, scalable quality engineering practices. You will drive end-to-end validation across applied AI and enterprise systems, ensuring platform readiness for production and long-term stability.
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Responsibilities
 
 
 
 Lead QA teams responsible for manual and automated testing across financial applications and AI-driven platforms.
 
 
 <ul>
 <li>
 Define test strategies, governance frameworks, and quality standards aligned with business and regulatory requirements.
 </li>
 <li>
 Oversee test planning, test-case design, automation development, and regression execution.
 </li>
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 Implement automation frameworks supporting UI, API, and data validation.
 </li>
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 Collaborate with engineering, product, and architecture teams to ensure testability at all stages of the SDLC.
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 Integrate continuous testing practices within CI/CD pipelines.
 </li>
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 Track quality metrics, defect patterns, and coverage statistics to ensure delivery readiness.
 </li>
 <li>
 Ensure compliance with financial regulations, security requirements, and audit standards.
 </li>
 <li>
 Mentor QA engineers and advance best practices in test automation and domain-specific validation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 To qualify for the role, you must have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 7+ years of QA experience with proven leadership in financial or enterprise environments.
 </li>
 <li>
 Strong background in manual and automated testing methodologies.
 </li>
 <li>
 Experience developing automation frameworks and validating regulated financial workflows.
 </li>
 <li>
 Familiarity with agile delivery processes and CI/CD tooling.
 </li>
 <li>
 Strong analytical and communication skills.
 
 
 </li>
 </ul>
 Technical Exposure
 
 
 <ul>
 <li>
 Automation Frameworks: Selenium, Playwright, Cypress, RestAssured
 </li>
 <li>
 Languages: Python, C#, TypeScript
 </li>
 <li>
 CI/CD: Azure DevOps, GitHub Actions
 </li>
 <li>
 Cloud (Azure): App Services, Functions, AKS
 </li>
 <li>
 Data: SQL, Data Factory
 </li>
 <li>
 Domain: Financial systems, compliance, reporting
 
 
 </li>
 </ul>
 What we look for
 
 
 <ul>
 <li>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 </li>
 </ul>
 What working at Inception offers
 
 
 <ul>
 <li>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 </li>
 <li>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 </li>
 <li>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 </li>
 <li>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 </li>
 </ul>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Lead Engineer - ML QA

<div>
 
 Overview
 
 
 
 As the Manager &ndash; Solution Engineering at Inception, you will play a pivotal role in bridging the technical and commercial worlds. Reporting to the Senior Director &ndash; Solution Engineering, you will lead the hands-on design and articulation of enterprise AI solutions that align with customer goals and Inception&rsquo;s technology capabilities. You&rsquo;ll work across pre-sales, architecture, and product teams to ensure our AI offerings are tailored, scalable, and impactful for clients across industries.
 
 
 The opportunity
 
 
 This role is ideal for a solution-oriented transformative leader who thrives on complex challenges, technical storytelling, and helping customers realize the value of cutting-edge AI platforms. You will guide the development of repeatable solution, support customer engagement efforts, work with product managers to define product roadmap, and play a key role in growing the solution engineering function.
 
 
 
 About Inception
 
 
 
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Responsibilities
 
 
 
 Pre-Sales Solution Engineering
 
 
 <ul>
 <li>
 Lead technical discovery sessions with clients to identify goals, challenges, and technology environments.
 </li>
 <li>
 Lead envisioning sessions with customers to integrate AI into business processes, improve efficiency, and drive AI-first transformation
 </li>
 <li>
 Design tailored, scalable solution architectures that align Inception&rsquo;s capabilities with customer needs.
 </li>
 <li>
 Translate complex AI features into simple, compelling solution narratives for commercial use cases.
 </li>
 <li>
 Support RFP responses, client workshops, and proofs-of-concept with clear architectural guidance.
 
 
 </li>
 </ul>
 Customer Engagement
 
 
 <ul>
 <li>
 Act as a trusted technical advisor for strategic customer engagements, ensuring alignment from pre-sales to delivery.
 </li>
 <li>
 Collaborate closely with commercial and business development teams to build client confidence in proposed solutions.
 </li>
 <li>
 Deliver high-impact solution presentations, demos, and technical briefings to stakeholders and decision-makers.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work with sales, product managers and engineering leads to influence roadmaps based on real-world customer needs.
 </li>
 <li>
 Coordinate with applied science teams to validate feasibility, performance, and scalability of proposed AI solutions.
 </li>
 <li>
 Ensure smooth knowledge transfer from pre-sales engineering to delivery teams during project kickoffs.
 
 
 </li>
 </ul>
 Solution Engineering Methodology
 
 
 <ul>
 <li>
 Map customers use cases with the product and identify gaps in product w.r.t customer requirements.
 </li>
 <li>
 Develop reusable templates, design patterns, and best practices to standardize and scale the solutioning process.
 </li>
 <li>
 Contribute to establishing KPIs that measure pre-sales success, such as win rate and deal velocity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 <ul>
 <li>
 Strong experience in technology consulting with focus on solution engineering, technical pre-sales, or solution architecture roles.
 </li>
 <li>
 Ability to simplify complex technical ideas and communicate them to business stakeholders.
 </li>
 <li>
 Familiarity with cloud-native platforms, AI/ML infrastructure, and enterprise integration patterns.
 </li>
 <li>
 A collaborative, customer-first mindset with the ability to work across technical and commercial teams.
 
 
 </li>
 </ul>
 To qualify for the role you must have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or related technical field (Master&rsquo;s preferred).
 </li>
 <li>
 14+ years of experience in technical pre-sales, solution architecture, or consulting roles, preferably in AI, cloud, or SaaS.
 </li>
 <li>
 Hands-on knowledge of designing large-scale enterprise solutions.
 </li>
 <li>
 Must have experience in at least one industry: Retail, FSI, Telco, Software Product, or Public Sector/National Security.
 </li>
 <li>
 Experience working with commercial and delivery teams to support the full solution lifecycle.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also have
 
 
 <ul>
 <li>
 Experience in AI/ML solution design, cloud platform architecture (Azure, AWS, or GCP), or vertical-specific solutions.
 </li>
 <li>
 Prior involvement in building solution frameworks or reusable technical assets.
 </li>
 <li>
 Certifications such as Azure Solutions Architect, AWS Solutions Architect, or TOGAF are a plus.
 </li>
 <li>
 Business administration qualification
 
 
 </li>
 </ul>
 What we look for
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Manager - Solution Engineering