As the Senior Manager – Solution Engineering at Inception, you will play a pivotal role in bridging the technical and commercial worlds. Reporting to the Senior Vice President – Solution Engineering, you will lead the hands-on design and articulation of enterprise AI solutions that align with customer goals and Inception’s technology capabilities. You’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 engineering 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 architectures, support customer engagement efforts, and play a key role in growing the solution engineering function.
Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platform utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&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.
Your key responsibilities
Pre-Sales Solution Engineering
· Lead technical discovery sessions with clients to identify goals, challenges, and technology environments.
· Design tailored, scalable solution architectures that align Inception’s capabilities with customer needs.
· Translate complex AI features into simple, compelling solution narratives for commercial use cases.
· Support RFP responses, client workshops, and proofs-of-concept with clear architectural guidance.
Customer Engagement
· Act as a trusted technical advisor for strategic customer engagements, ensuring alignment from pre-sales to delivery.
· Collaborate closely with commercial and business development teams to build client confidence in proposed solutions.
· Deliver high-impact solution presentations, demos, and technical briefings to stakeholders and decision-makers.
Cross-Functional Collaboration
· Work with product managers and engineering leads to influence roadmaps based on real-world customer needs.
· Coordinate with applied science teams to validate feasibility, performance, and scalability of proposed AI solutions.
· Ensure smooth knowledge transfer from pre-sales engineering to delivery teams during project kickoffs.
Solution Engineering Methodology
· Develop reusable templates, design patterns, and best practices to standardize and scale the solutioning process.
· Create documentation, playbooks, and technical assets for internal teams and client engagements.
· Contribute to establishing KPIs that measure pre-sales success, such as win rate and deal velocity.
Skills and attributes for success
· Strong experience in solution engineering, technical pre-sales, or enterprise architecture roles.
· Ability to simplify complex technical ideas and communicate them to business stakeholders.
· Familiarity with cloud-native platforms, AI/ML infrastructure, and enterprise integration patterns.
· A collaborative, customer-first mindset with the ability to work across technical and commercial teams.
To qualify for the role you must have
· Bachelor’s degree in Computer Science, Engineering, or related technical field (Master’s preferred).
· 8+ years of experience in technical pre-sales, solution architecture, or consulting roles, preferably in AI, cloud, or SaaS.
· Hands-on knowledge of designing large-scale enterprise or AI-based solutions.
· Experience working with commercial and delivery teams to support the full solution lifecycle.
Ideally, you’ll also have
· Experience in AI/ML solution design, cloud platform architecture (Azure, AWS, or GCP), or vertical-specific solutions.
· Prior involvement in building solution frameworks or reusable technical assets.
· Certifications such as Azure Solutions Architect, AWS Solutions Architect, or TOGAF are a 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 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 & 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.