Director - Solution Engineering

About the Role As the Director – Solution Engineering, you will lead the technical enablement, activation, and ongoing success of the company’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 the company’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—technically and commercially—to accelerate adoption of the company’s AI capabilities across global markets. Responsibilities Key Responsibilities Partner Technical Activation & Enablement - Lead technical activation of partners to ensure they can independently position, design, and deliver the company 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. Reusable Assets, Demo Environments & Tooling - 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 the company’s evolving AI portfolio. Support for Partner-Led Customer Engagements - 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 the company’s best practices and architectural principles. - Serve as the escalation point for complex technical questions that arise in partner-led opportunities. Cross-Functional Collaboration - 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. Process Development & Standardization - 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. Qualifications Skills & Attributes for Success - Proven experience designing and delivering enterprise-grade AI or software solutions. - Strong ability to translate complex technical concepts into scalable training materials and reusable assets. - Deep understanding of AI/ML architectures, SaaS solutions, enterprise integration, and cloud-native technologies. - Excellent presentation, communication, and technical mentoring skills. - Strong relationship-building and stakeholder management skills across both technical and commercial audiences. Qualifications - 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. 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 company community. What Working At the company 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 & 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.