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 www.inceptionai.ai Overview: 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. The opportunity 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.