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Experience
14 - 16 Years
Job Location
Education
Bachelor of Science(Computers), Master of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Responsibilities:
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.
Desired Candidate Profile
To qualify for the role you must have
Bachelor s degree in Computer Science, Engineering, or related technical field (Master s preferred).
14+ 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.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Senior Manager - Solution Engineering
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Group 42
As the Senior Manager Solution Engineering at Inception, you will play a pivotal role in bridging the technical and commercial worlds. Reporting to the SVP Growth, 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. Inception, a G42 company, is the region 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 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