Principal Medtech Architect

Responsibilities

• Own strategic AI build partnerships end to end, from discovery and opportunity framing through workshop facilitation, build sprint delivery, solution validation, and handoff.
• Lead conversations positioning AcuityMD as an AI solution for MedTech and a strategic platform for executing customers’ AI roadmaps.
• Design and facilitate executive leadership workshops to identify and prioritize high-value workflows.
• Recommend engagement models, including in-surface enrichment, callable tools, bespoke skills, and insight-to-action workflows.
• Define business cases, ROI assumptions, success metrics, and validation approaches with customer stakeholders.
• Translate customer pain points, workflows, and technical requirements into scoped AI solutions and multi-workstream delivery plans.
• Partner with Product and Engineering to scope and lead Forward Deployed sprints, ensuring delivery quality and customer outcomes.
• Validate delivered solutions and prepare them to scale across the customer organization before account-team transition.
• Lead platform-level roadmap conversations with customers’ AI leadership teams, including CTOs and CIOs.
• Collaborate with Customer Success, Professional Services, Sales, Value Engineering, Product, Engineering, Implementation, and Data teams.
• Shape AcuityMD’s external product-market narrative on AI in medtech through customer conversations, field insights, and thought leadership.
• Mentor early-career Medtech Architects and improve the Forward Deployed playbook.

Requirements

• Executive presence and credibility with C-suite stakeholders, including CEOs, CTOs, CIOs, and CCOs.
• Strong understanding of the commercial, clinical, and operational realities of medical technology organizations.
• Fluency in AI, solution architecture, roadmaps, architecture discussions, solution patterns, risks, and tradeoffs.
• Demonstrated success scoping, selling, and delivering complex, multi-quarter, multi-workstream enterprise engagements.
• Ability to translate customer needs into executable plans and measurable outcomes.
• Strong commercial judgment in evaluating use cases, engagement models, scope, value, and delivery considerations.
• Exceptional communication across technical and non-technical audiences.
• Cross-functional leadership across Sales, Customer Success, Product, Engineering, Implementation, and Data teams.
• 10+ years of relevant experience across medtech, healthcare technology, enterprise SaaS, AI services, or adjacent fields; direct medtech experience is strongly preferred.
• 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 for customers.
• Eligible work permit in the USA.

Nice-to-Haves

• Experience working in a startup or high-growth environment.
• Advanced degree such as an MBA, MS, or clinical degree.
• Prior Forward Deployed experience at a peer AI, data, or enterprise software platform company.
• Published thought leadership at the intersection of medtech and AI.

Compensation and Benefits

• Competitive cash compensation, equity, and benefits; compensation varies based on location, role scope and complexity, experience, expertise, and market data.
• Remote work flexibility for employees in the US.
• Work-from-home and home-office support, including a $1,000 equipment stipend and WiFi reimbursement.
• Learning budget for relevant learning and upskilling.
• Flexible PTO and flexible hours.
• 100% paid health, dental, and vision plans for employees; 75% paid for dependents.
• Optional team retreats.
• 8–16 weeks of fully paid, flexible parental leave.