A different path to the same work.
Former educator turned Solutions Architect. Pre-tech background in organizational leadership and change management makes me unusually effective at AI adoption work — I know how to make complex things understandable to people who don't share my context, and how to get buy-in from stakeholders who are skeptical or resistant.
Those aren't soft skills. They're the difference between a successful enterprise AI rollout and one that stalls at 40% adoption because nobody understood why it mattered.
What I do now
Senior Solutions Architect with deep experience leading enterprise-scale solution design and delivery across complex SaaS environments. Grew a $6.28M ARR book of 25 enterprise accounts at Further, generating $1.98M in new revenue through technical solutioning, proof-of-value delivery, and strategic expansion support. Now building and implementing AI agents on the Cognigy Conversational/Agentic AI platform as a Solutions Architect on NiCE Cognigy's North America Professional Services team.
- Non-traditional path (educator → nonprofit → tech) is a change management and stakeholder adoption differentiator, not a gap
- $6.28M ARR book with $1.98M in generated new revenue — strong retention and growth signal
- AI adoption practitioner: has deployed LLM-powered agents as a practitioner, not just sold them
- Technical depth (100+ integrations, 4+ net-new integrations) paired with executive communication skills
Let's talk
If your organization is deploying AI at scale and needs someone who can own the full implementation lifecycle — technical architecture, stakeholder adoption, and the operational complexity in between — I'd like to compare notes. sean.l.tosello@gmail.com or LinkedIn.