• Engage early in partner implementations: not as a permanent participant, but to identify recurring technical gaps and understand where standards need to be established • Design and own our partner-technical framework: reference architectures, implementation standards, and quality checklists that partners can apply independently • Advise the enablement team and lead a technical certification path that develops partner SAs from onboarded to self-sufficient — with clear milestones and measurable outcomes • Lead architecture reviews and technical quality assessments during the build phase, with the explicit aim of making implementations partner-owned over time • Create workshops and best-practice documentation that form the foundation for how we scale delivery quality across the network • Provide field feedback to product and professional services teams to continuously sharpen our standards and close systemic gaps

• Diagnose and resolve technical roadblocks during customer implementations — including configuration challenges, integration issues, and complex workflow design • Partner with Launch Managers, Product, and Engineering to scope technical requirements, evaluate feasibility, and implement lightweight solutions when possible • Support pre-sales by participating in technical discovery, evaluating integration requirements, and delivering tailored demos for complex prospects • Build and maintain internal documentation on integration patterns, product workflows, and recommended technical configurations to scale knowledge across the team • Develop repeatable approaches for common technical challenges so the broader team can move faster

• Partner with customers to understand their cloud environments and cost-management goals, acting as a trusted technical advisor to customers’ engineering, FinOps, and finance stakeholders • Design and implement scalable cost allocation and tagging strategies across complex environments, including multi-cloud and Kubernetes • Support technical onboarding for complex accounts, partnering closely with Customer Success on advanced use cases • Debug and resolve data ingestion, tagging, and reporting issues in collaboration with Support and Engineering • Build custom solutions, queries, and workflows using Vantage’s APIs, exports, and integrations to unblock customer needs • Surface recurring customer pain points and edge cases to Product and Engineering, contributing to internal tooling, documentation, and repeatable implementation patterns

Design next-generation clinical AI & digital twin systems — senior-level solutions architect required Title: Tech Lead (Solutions Architect + Applied AI Lead) — Digital Twin & Clinical AI — (Contractor) Location & Work Model This is a fully remote, contract-based role supporting globally distributed teams. The role requires reliable working-hour overlap with teams operating across the Americas and European time zones, with strong English communication skills. Base fee: USD $1,500–$2,500 / MONTH + Performance Incentive (Contractor — paid via Wise or bank direct deposit) Engagement type: Independent Contractor (retainer-based) Who We Are We build human-centric precision intelligence systems that power digital twins and clinical AI assistants. Our products run on secure, multi-tenant cloud platforms with sophisticated white-labeling, rigorous privacy practices, and advanced observability. Everything we ship must meet strict reliability, scalability, and safety standards. Who You Are You are an experienced technical architect who has delivered complex cloud systems and production LLM/agent functionalities. You understand multi-tenant system design, secure data ingestion pipelines, logging/metrics frameworks, SLA/SLO control, and AI safety/guardrail engineering. You mentor teams, improve platform quality, and operate with focus and independence. You pride yourself on attention to detail and excel in working environments that allow you to work independently on focused objectives. Role purpose. Own end-to-end technical direction for the company’s AI-first products (Digital Twin, CLIA, wellness apps), spanning architecture, model lifecycle, data, security, reliability, and team technical excellence. Core outcomes - Reliable, scalable production platforms (99.9%+ target SLOs) with cost-aware infra & observability. - Measurable AI/ML impact (e.g., model-enabled features that improve wellness outcomes, UX metrics, and conversion). - Responsible-AI guardrails in production (safety, bias, privacy, auditability) and compliant data flows. Key responsibilities: Architecture & Platform - Design multi-tenant, API-first, white-label architecture (B2B2C), event-driven integrations, and data mesh/warehouse patterns. - Managed 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. Applied AI/ML - 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. Data, Privacy & Security - 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. Delivery & Tech Leadership - 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. Stakeholders & External Partner with Product/Clinical/Sales; run build–buy–partner analyses; manage vendors; support pre-sales.