Director - Solution Engineering (Inception42)

Inception42, a G42 company, is the region\u2019s 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 \u2013 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.inception42.ai As the Director \u2013 Solution Engineering, you will lead the technical enablement, activation, and ongoing success of Inception\u2019s 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\u2019s 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\u2014technically and commercially\u2014to accelerate adoption of Inception\u2019s AI capabilities across global markets. This role offers a unique chance to shape Inception\u2019s partner-led technical strategy from the ground up. You will: \u00B7 Build reusable demo environments and solution assets \u00B7 Create certification programs for partner enablement \u00B7 Provide architectural guidance during partner-led customer pursuits \u00B7 Drive technical excellence across the entire partner ecosystem Your leadership will be instrumental in scaling Inception\u2019s presence and ensuring that our AI solutions are represented with consistency, accuracy, and depth across all partner channels. \u00B7 Lead technical activation of partners to ensure they can independently position, design, and deliver the Inception AI portfolio. \u00B7 Develop and deliver technical onboarding programs, solution deep-dives, and product training sessions. \u00B7 Build and maintain a Partner Tech Certification curriculum, including learning paths, assessments, and hands-on training materials. \u00B7 Build and manage demo environments, reference architectures, and reusable technical assets to support partner pursuits. \u00B7 Create solution templates, technical summaries, and architecture documents that partners can standardize and replicate. \u00B7 Ensure collateral is scalable, up-to-date, and aligned with Inception\u2019s evolving AI portfolio. \u00B7 Work closely with partners during customer engagements, providing guidance on workshops, RFx responses, architectural design, cost estimation, and solution sizing. \u00B7 Ensure partners are delivering technically sound proposals that align with Inception\u2019s best practices and architectural principles. \u00B7 Serve as the escalation point for complex technical questions that arise in partner-led opportunities. \u00B7 Collaborate with product, applied science, engineering, and commercial teams to ensure alignment on partner needs and market feedback. \u00B7 Provide insights from partner engagements to influence product strategy and roadmap decisions. \u00B7 Support joint go-to-market initiatives with the partnerships and alliances teams. \u00B7 Develop scalable methodologies for partner technical onboarding, architecture reviews, and quality assurance. \u00B7 Standardize solution engineering processes and documentation across the partner ecosystem. \u00B7 Drive continuous improvement to ensure partners deliver high-quality, repeatable solutions. \u00B7 Proven experience designing and delivering enterprise-grade AI or software solutions. \u00B7 Strong ability to translate complex technical concepts into scalable training materials and reusable assets. \u00B7 Deep understanding of AI/ML architectures, SaaS solutions, enterprise integration, and cloud-native technologies. \u00B7 Excellent presentation, communication, and technical mentoring skills. \u00B7 Strong relationship-building and stakeholder management skills across both technical and commercial audiences. \u00B7 Bachelor\u2019s or Master\u2019s degree in Computer Science, Engineering, or a related field. \u00B7 7+ years of experience in solution architecture, pre-sales engineering, or technical consulting\u2014preferably with experience in partner enablement or partner ecosystems. \u00B7 Demonstrated success supporting enterprise sales engagements through technical architecture, workshops, and RFx responses. \u00B7 Hands-on experience with cloud platforms (Azure strongly preferred), AI/ML services, and enterprise integration architectures. \u00B7 Technical knowledge of OpenAI and Microsoft Azure (L300) is a strong plus. Inception42, a G42 company, is the region\u2019s leading innovator of AI-powered domain-specific

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in solution architecture, pre-sales engineering, or technical consulting—preferably with experience in partner enablement or partner ecosystems. Demonstrated success supporting enterprise sales engagements through technical architecture, workshops, and RFx responses. Hands-on experience with cloud platforms (Azure strongly preferred), AI/ML services, and enterprise integration architectures. Technical knowledge of OpenAI and Microsoft Azure (L300) is a strong plus.

Lead technical activation of partners to ensure they can independently position, design, and deliver the Inception AI portfolio. Develop and deliver technical onboarding programs, solution deep-dives, and product training sessions. Build and maintain a Partner Tech Certification curriculum, including learning paths, assessments, and hands-on training materials. Build and manage demo environments, reference architectures, and reusable technical assets to support partner pursuits. Create solution templates, technical summaries, and architecture documents that partners can standardize and replicate. Ensure collateral is scalable, up-to-date, and aligned with Inception’s evolving AI portfolio. Work closely with partners during customer engagements, providing guidance on workshops, RFx responses, architectural design, cost estimation, and solution sizing. Ensure partners are delivering technically sound proposals that align with Inception’s best practices and architectural principles. Serve as the escalation point for complex technical questions that arise in partner-led opportunities. Collaborate with product, applied science, engineering, and commercial teams to ensure alignment on partner needs and market feedback. Provide insights from partner engagements to influence product strategy and roadmap decisions. Support joint go-to-market initiatives with the partnerships and alliances teams. Develop scalable methodologies for partner technical onboarding, architecture reviews, and quality assurance. Standardize solution engineering processes and documentation across the partner ecosystem. Drive continuous improvement to ensure partners deliver high-quality, repeatable solutions.