Principal Medtech Architect
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AcuityMDMedTech AI
AcuityMD is committed to supporting full-remote flexibility for employees in the US.Full-TimePrincipal
SalaryAcuityMD is committed to providing highly competitive cash compensation, equity, and benefits.
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Job Details
- Experience
- 10+ years of relevant experience across medtech, healthcare technology, enterprise SaaS, AI services, or adjacent fields
- Required Skills
- Artificial Intelligence
Requirements
- 10+ years of relevant experience across medtech, healthcare technology, enterprise SaaS, AI services, or adjacent fields.
- Demonstrated record of leading strategic customer engagements and delivering complex technical solutions in enterprise environments.
- Experience delivering AI products, AI-enabled services, or custom AI solutions.
- Executive presence with peer-level credibility for C-suite stakeholders.
- Deep medtech domain credibility regarding commercial, clinical, and operational realities.
- AI and architecture fluency to shape strategic discussions and explain technical trade-offs.
- Proven delivery leadership in scoping and managing multi-quarter, multi-workstream engagements.
- Strong commercial judgment and ability to distinguish high-value use cases.
- Exceptional communication skills for both technical and non-technical stakeholders.
- Experience building cross-functional alignment across sales, product, and engineering teams.
Responsibilities
- Own strategic AI build partnerships end to end, from pre-workshop discovery and opportunity framing through workshop facilitation, build sprint delivery, solution validation, and handoff.
- Lead foundational conversations that position AcuityMD as the customer's AI solution for Medtech and a strategic platform for executing its AI roadmap.
- Design and facilitate executive leadership workshops that surface high-value workflows and produce actionable, prioritized use-case portfolios.
- Recommend the right engagement model for each use case, including in-surface enrichment, callable tools, bespoke skills, and insight-to-action workflows.
- Work with customer stakeholders to define the business case, ROI assumptions, success metrics, and validation approach against which each solution will be measured.
- Translate customer pain points, workflows, and technical requirements into well-scoped AI solutions and multi-workstream delivery plans.
- Partner with Product and Engineering, as appropriate, to scope and lead Forward Deployed sprints, driving build quality, delivery discipline, and customer outcomes.
- Validate that delivered solutions achieve the intended outcome and are positioned to scale across the customer's organization before transition to the account team.
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