• Translate complex customer needs into clear, scalable technical solutions • Act as a trusted technical advisor throughout the sales and implementation lifecycle • Lead technical discovery with mid-market and enterprise prospects • Design end-to-end solutions spanning integrations, data flows, and system architecture • Produce clear technical diagrams and solution documentation • Partner with Sales as the technical lead on complex deals • Deliver tailored product demos for technical and non-technical audiences • Address questions around architecture, security, data models, and integrations • Advise on and support integrations using APIs, webhooks, and third-party systems • Collaborate with Engineering to validate feasibility and unblock complex implementations • Scope and lead proofs of concept (POCs) for strategic prospects • Act as an escalation point for complex technical issues during onboarding and implementation • Share structured customer feedback with Product and Engineering.

• Own end-to-end solution architecture for SAP initiatives across ECC and S/4HANA environments • Define and enforce SAP architectural standards, patterns, and guardrails • Ensure adherence to clean-core principles and minimize customizations • Design and govern integrations between SAP and non-SAP systems • Partner with Functional Consultants to validate functional designs and ensure architectural alignment • Review and approve solution designs, enhancements, and technical approaches delivered by internal teams and AMS partners • Assess architectural impacts of new initiatives and recommend scalable design options • Support platform roadmap discussions by identifying architectural risks, dependencies, and opportunities • Provide guidance on data, security, performance, and scalability considerations • Participate in design reviews, cutover planning, and major releases as needed • Identify and mitigate technical debt and long-term architectural risks

• Lead structured discovery across RCM workflows, data requirements, integrations, and success metrics • Deliver tailored, credibility-driven demos that surface real operational pain points (eligibility, denials, AR follow-up, prior auth, etc.) • Translate customer workflows into realistic automation plans • Scope data requirements and assess integration feasibility at a high level (APIs, files, system constraints) • Identify risks, assumptions, and dependencies early to provide proper sales alignment • Partner with Account Executives on technical validation, objection handling, and scope-to-price alignment • Document solution assumptions, constraints, and integration requirements for clean handoff • Participate in kickoff and early implementation checkpoints to reduce rework • Help clarify workflows and validate early acceptance criteria when needed • Surface risks early and coordinate mitigation across Sales, Product, and Delivery • Create reusable assets (discovery templates, demo frameworks, scoping checklists) • Improve consistency and quality across concurrent deals • Contribute to the long-term structure and maturity of the Solutions Engineering function

• Design multi-tenant, API-first, white-label architecture (B2B2C), event-driven integrations, and data mesh/warehouse patterns. • Manage Azure cloud services (incl. serverless), vector DBs/feature stores, MLOps stack, CI/CD, secrets, IaC. • Establish SLIs/SLOs, error budgets, alerting, runbooks, postmortems; lead capacity & cost modeling. • Translate product and clinical use cases into model-enabled features (RAG, agents, multimodal, time-series on wearables). • Own LLM safety, evals, red-teaming, prompt/model versioning, offline/online A/B tests; define offline metrics ↔ online KPIs. • Build pipelines for data labeling, weak supervision, retrieval quality, and continuous improvement. • Define PII/PHI data handling, consent, lineage, retention, and cross-border controls; implement privacy-by-design. • Approve integrations with wearables, EHR/LIS, payments; ensure encryption, key mgmt, and DLP. • Lead technical roadmap, spike plans, ADRs, and trade-off decisions; manage tech debt intentionally. • Mentor engineers; raise code quality (pairing, design reviews, testing strategy) and empower autonomy. • Partner with Product/Clinical/Sales; run build–buy–partner analyses; manage vendors; support pre-sales.