Lead architecture for digital twin + clinical AI platforms — senior applied AI technical leadership role

Title: TECH LEAD (Solutions Architect + Applied AI Lead) — Digital Twin & Clinical AI — Remote (Contractor)
Location: Remote — Offshore-friendly. Ideal overlap with Americas/Europe time zones. Preferred regions include: Philippines, Vietnam, Indonesia, Latin America (Mexico, Colombia, Brazil), Eastern Europe (Poland, Ukraine, Romania, Bulgaria, Belarus), and Africa (Kenya, South Africa, Nigeria, Ethiopia, Ghana, Egypt), with strong English proficiency.
Base fee: Full Time Retainer USD $1,500–$2,500 / MONTH + Performance Incentive (Contractor — paid via bank direct deposit)
Employment type: Contractor (full-time)
Company: Shae Group
Website: https://shae.group

Who We Are

Shae Group develops precision-adaptive AI systems, including digital twins and clinical AI assistants, designed to elevate wellbeing and improve clinical decision-making. Our technology stack requires secure, scalable, multi-tenant infrastructure with white-label capabilities, strong privacy controls, rigorous observability, and safety-first engineering principles.

Who You Are

You are a senior-level architect and technical leader who has delivered cloud platforms and production-grade LLM/agent-based capabilities. You excel at designing multi-tenant architectures, secure ingestion and data pipelines, observability frameworks, and safety/guardrail systems for LLM-driven features. You guide engineers, strengthen reliability, and work autonomously with a high attention to detail.

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.

Requirements

Minimum experience

• 4+ years building with Typescript (specifically NextJS and Fastify) 
• 4+ years building with Python and FAST API 
• 5+ projects utilising Azure PostgreSQL Managed Database, Qdrant Database and Cosmos Databases
• 4+ years building prompt engineered pipelines using LangChain, ai orchestration tools, and AI LLMs including Gemini, Claude, GPTs and Grok.
• At least 2+ projects involving Azure Container Apps, Azure Functions

Minimum qualifications

• 8–12+ years building cloud products; 3+ as Tech Lead/Architect; production experience with LLMs/agents.
• Strong systems design, data platforms, API design, and security fundamentals.

Nice-to-have

• Healthcare/wellness, regulated data (HIPAA/GDPR), on-device ML, voice agents, Xano/FlutterFlow ecosystems.

KPIs

• Availability vs SLOs; time-to-restore; infra $/MAU; model quality lift; latency/p95; roadmap velocity; audit findings = 0 criticals.

Benefits

Compensation & performance bonuses

Retainer: USD $1,500–$2,500 per month (depends on seniority and scope).
Performance incentive: Annual bonus awarded for consistent KPI over-performance.

Payment & contractor terms

Independent Contractor role. USD payments via bank deposit. Monthly retainer invoice schedule. Paid time off for exceptional performance.

How to apply

• Submit two architecture diagrams + a 1–2 page ADR from previous work, and include a Loom walkthrough explaining an LLM feature you hardened for production.
• Self-schedule a 16-minute prescreen one-way AI video interview.
• Complete a 3rd-party personality assessment.
• If shortlisted, a relevant technical assignment will follow.
• If successful, hiring manager interview within 24–48 hours — rapid offers for outstanding candidates.
• Fast interview pipeline for top-tier applicants.

Closing note

This role is for senior engineers who build secure, scalable applied-AI systems. Strong architectural artifacts and real production experience are essential.