Senior Manager - Solution Engineering

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 (Use the "Apply for this Job" box below)..ai

As the Senior Manager – Solution Engineering (AI Solutions) at Inception, you will be the senior technical authority shaping, validating, and de-risking enterprise AI solutions across our most strategic customer engagements. Reporting to the Senior Director – Solution Engineering, this is a hands-on individual contributor role where you will lead AI solution design end-to-end, from discovery and architecture through to rapid prototyping and bringing together Generative AI, Agentic AI, Machine Learning, RAG, and Conversational AI capabilities into compelling, outcome-led solutions.

This role is ideal for a senior solution engineer or AI-focused architect who thrives on complex problems, enjoys moving from ambiguity to clarity, and can translate cutting-edge AI capabilities into credible, executive-ready narratives. You will not manage a team directly, but you will set the technical bar, mentor peers, influence product direction, and act as a trusted advisor to customers evaluating AI-first transformation.

• AI Solution Design & Architecture
  • Own end-to-end AI solution design for enterprise engagements, spanning Generative AI, Agentic AI, RAG, Machine Learning, and Conversational AI.
  • Define high-level architectures, reference patterns, and solution blueprints that integrate Inception products with bespoke AI components and customer systems.
  • Make pragmatic architectural trade-offs across performance, cost, latency, security, and responsible AI guardrails.
  • Drive rapid prototyping and Minimum Loveable Prototypes (MLPs) to validate feasibility, value, and direction before full delivery investments.
• Pre-Sales Solution Engineering
  • Lead technical discovery and AI envisioning sessions to uncover customer goals, constraints, and AI-first transformation opportunities.
  • Translate complex AI capabilities into clear, compelling solution narratives tailored to each customer context.
  • Provide senior technical leadership on RFP responses, client workshops, and proofs-of-concept.
• Customer Engagement & Thought Leadership
  • Act as a trusted technical advisor to CxO and board-level stakeholders across strategic accounts.
  • Deliver high-impact solution presentations, live demos, and executive briefings that build confidence in proposed AI solutions.
  • Represent Inception’s AI vision externally, with credibility, clarity, and differentiation.
• Cross-Functional Collaboration
  • Partner with sales, product managers, applied science, and engineering leads to influence product roadmap based on real customer signals.
  • Coordinate with applied science to validate model feasibility, performance, and scalability of proposed AI solutions.
  • Ensure smooth handover from pre-sales to delivery teams during project kickoffs.
• Practice Building & Mentorship
  • Define reusable templates, design patterns, and AI reference architectures to standardise and scale the solutioning process.
  • Mentor and coach Solution Engineers, raising the team’s capability in AI solutioning and rapid validation.
  • Contribute to KPIs that measure pre-sales success such as win rate, deal velocity, and prototype-to-MVP conversion.

• Deep conceptual and hands-on understanding of modern AI solution architectures – LLMs, RAG, vector databases, knowledge graphs, prompt engineering, fine-tuning, and agentic systems.
• Strong experience in technology consulting, solution engineering, technical pre-sales, or solution architecture roles.
• Ability to reason about system behaviour, cost, performance, and risk across AI components.
• Proven ability to prototype AI workflows quickly and pragmatically to validate ideas.
• Ability to simplify complex…