Tech Lead (Solutions Architect + Applied AI Lead) - Digital Twin & Clinical AI

Full Description

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: Remote — Suitable for offshore candidates who can align with Americas/Europe overlap.

Preferred regions: Philippines, Vietnam, Indonesia, Latin America (Mexico, Colombia, Brazil), EasternEurope (Poland, Ukraine, Romania, Bulgaria, Belarus), Africa (Kenya, South Africa, Nigeria, Ethiopia, Ghana, Egypt), with strong English competency.

Base fee: USD $1,500–$2,500 / MONTH + Performance Incentive (Contractor — paid via Wise or bank direct deposit) Employment type: Contractor (full-time) Company: Shae Group Website: https://shae.

group Who We Are Shae Group builds 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.

Compensation & performance bonuses Retainer: USD $1500 - $2,500 per month (adjustable by seniority and scope).

Performance Incentive: Annual bonus for consistent KPI over-performance Payment & contractor terms Independent Contractor status only.

Payment in USD via Wise or bank direct deposit.

Monthly retainer invoicing.

Paid time off for exceptional performance.

How to apply • Provide two architecture diagrams and a 1–2 page ADR from prior work, plus a Loom walkthrough describing how you production-hardened an LLM feature.

• Self-schedule a 16-minute AI-powered prescreen video.

• Complete a 3rd-party personality profile.

• If shortlisted, you will receive a small technical assignment.

• Successful candidates will interview with a hiring manager within 24–48 hours — offers issued quickly for top performers.

• Accelerated interview track available for exceptional applicants.

Closing note This position is reserved for senior engineers capable of architecting secure, scalable applied-AI platforms.

Strong technical artifacts and real-world LLM experience are required.

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.