
G42
Senior Manager - Solution Engineering
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 10 - 15 yrs
Job expiry date: 05/01/2026
Job overview
Date posted
21/11/2025
Location
Abu Dhabi, United Arab Emirates
Salary
AED 40,000 - 50,000 per month
Compensation
Comprehensive package + relocation
Experience
10 - 15 yrs
Seniority
Senior Manager
Qualification
Bachelors degree
Expiration date
05/01/2026
Job description
The Senior Manager ā Solution Engineering leads the design and articulation of enterprise AI solutions at Inception, a G42 company. Reporting to the SVP ā Growth, the role bridges technical and commercial functions and works across pre-sales, architecture and product teams to ensure AI offerings are scalable, tailored and aligned with customer goals. It involves hands-on creation of solution architectures, participation in technical discovery sessions, translation of complex AI features into simple commercial narratives, and support for RFPs, workshops and proofs-of-concept. The role requires acting as a trusted technical advisor during strategic customer engagements, collaborating with business development and commercial teams, and delivering high-impact demos, technical briefings and solution presentations. It works closely with product managers, engineering leads and applied science teams to validate feasibility, scalability and performance of proposed AI solutions and ensures smooth knowledge transfer to delivery teams. It includes developing reusable templates, design patterns, documentation, playbooks and KPIs to scale the solution engineering function. It requires strong experience in solution engineering, technical pre-sales or enterprise architecture roles, the ability to communicate complex technical concepts to business stakeholders, familiarity with cloud-native platforms, AI/ML infrastructure and enterprise integration patterns, and a collaborative customer-first mindset. A bachelorās degree in a technical field is required with a masterās preferred. The role requires 14+ years of experience in technical pre-sales, solution architecture or consulting roles in AI, cloud or SaaS environments, hands-on experience designing large-scale enterprise or AI-based solutions, experience supporting full solution lifecycles and experience with AI/ML solution design and cloud platform architectures such as Azure, AWS or GCP. Certifications such as Azure Solutions Architect, AWS Solutions Architect or TOGAF are advantageous. The workplace offers an open, diverse environment focused on innovation, structured development opportunities, high-tech projects, hybrid work policy and competitive rewards including healthcare, education support and leave benefits.
Required skills
Key responsibilities
- Lead technical discovery sessions with clients to identify goals, challenges and technology environments
- Design tailored and scalable solution architectures that align Inceptionās capabilities with customer needs
- Translate complex AI features into simple and compelling solution narratives for commercial use cases
- Support RFP responses, client workshops and proofs-of-concept with clear architectural guidance
- Act as a trusted technical advisor for strategic customer engagements from pre-sales to delivery
- Collaborate 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
- Work with product managers and engineering leads to influence product roadmaps based on 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
- Develop reusable templates, design patterns and best practices to standardize and scale solution engineering processes
- Create documentation, playbooks and technical assets for internal teams and client engagements
- Contribute to establishing KPIs measuring pre-sales success such as win rate and deal velocity
Experience & skills
- Hold a bachelorās degree in Computer Science, Engineering or a related technical field with a masterās preferred
- Possess 14+ years of experience in technical pre-sales, solution architecture or consulting roles preferably in AI, cloud or SaaS
- Demonstrate hands-on experience designing large-scale enterprise or AI-based solutions
- Show experience supporting full solution lifecycles with commercial and delivery teams
- Exhibit strong experience in solution engineering, technical pre-sales or enterprise architecture roles
- Demonstrate ability to simplify complex technical ideas for business stakeholders
- Show familiarity with cloud-native platforms, AI/ML infrastructure and enterprise integration patterns
- Have experience with AI/ML solution design or cloud platform architecture across Azure, AWS or GCP
- Possess certifications such as Azure Solutions Architect, AWS Solutions Architect or TOGAF as a plus