Solution Engineering

Lead AI transformation engagements (e.g. demos, pilots) to win technical decisions and drive customer commitment to Copilot/Agents, including documented adoption plans and a smooth hand-off to Customer Success/partners for usage onboarding. Support AI Workforce SSP hunting effort by engaging w/customer contacts, lead qual., and partner co-sell opportunities Assist in ME3 , ME5 , ME7 , Agent 365 upsell opportunities focused on Teams Phone that require technical support, and bring in a partner for co-sell.

Craft scalable, secure, and modular architectures that align to customer's enterprise strategy and technical roadmap while embedding security at every level. Maintain operational excellence with 100% deal hygiene - capture technical close plans and consumption plans in MSX for every opportunity, attach a partner to every qualified deal, and promptly escalate unresolved technical blockers.

Continuously upskill to meet role expectations (achieve L200 consultative and L400 technical depth certifications) and contribute to team excellence by sharing at least one deal win/loss insight per quarter and engaging in regular coaching. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. 8-10 years of Experience in pre-sales, solution engineering, technical consulting, or customer-facing technical roles.

Ability to build demos, proof-of-concepts, and customer solution architectures. Experience conducting customer discovery sessions and identifying business challenges. Ability to translate business requirements into AI-powered solutions.

Strong presentation, storytelling, and executive communication skills. Experience leading technical demonstrations and workshops. Experience with AI, machine learning, prompt engineering, or conversational agents.

Knowledge of enterprise productivity, business process automation, and digital transformation.