Technical Architect (AI Platform Lead + Snr Solutions Engineer), Digital Tw at Shae Group

Johannesburg, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

2500.0

Posted On

10 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Software Development, Systems Architecture, API Frameworks, CI/CD, MLOps, Security Requirements, Observability Tooling, Architectural Writing, Diagramming, Safety Engineering, Data Pipelines, Multi-Tenant System Design, AI Safety, Production Hardening, Logging Frameworks, Mentoring

Industry

Design Services

Description

Design next-generation clinical AI & digital twin systems — senior-level solutions architect required Title: Technical Architect (AI Platform Lead + Senior Solutions Engineer) — 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), Eastern Europe (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. Responsibilities • Oversee the full platform architecture: multi-tenant structure, white-label components, observability tooling, IaC, SLO definitions, and long-term reliability. • Convert LLM and agent innovations into production-ready capabilities: retrieval pipelines, workflow agents, evaluation suites, caching layers, and robust safety scaffolding. • Architect secure, compliant data pipelines (wearables → processing → insights) using privacy-by-design principles. • Support engineering teams with architecture reviews, create diagrams/ADRs, and guide production hardening. Must-have qualifications • 8+ years developing cloud software, including 3+ years in architect/technical lead roles building LLM/agent features for production. • Expertise in systems architecture, API frameworks, CI/CD + MLOps, security requirements, and observability tooling. • Strong architectural writing and diagramming skills, plus real experience applying safety/guardrails to LLM-powered features. Nice-to-have • Background in healthtech, regulated data environments, conversational/voice agents, or vector database architectures. • Familiarity with digital twin concepts or clinical decision-support workflows. 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.

Responsibilities

Oversee the full platform architecture and convert LLM and agent innovations into production-ready capabilities. Architect secure, compliant data pipelines and support engineering teams with architecture reviews.